{
  "format": "driftproof-answers/2",
  "receipt_hash": "65231f29050580d7e14324c7aff5bfc053844d5c11093958713393e98283c26c",
  "model_id": "claude-sonnet-5-5",
  "answers": {
    "ac1a2521482dbc223d11dab606fb581f3b00b82ccdfa58abf8171e50766200d4": "Here's the workflow I'd follow. Nothing below has been run, since you asked for text only.\n\n**1. Check fit before anything else.** The local candidate has the right license and duration, but that doesn't tell us whether it sounds right. Before resolving fresh, the skill says to list reusable candidates with `--candidates` and judge fit myself. That means checking whether it actually reads as a short chime (tone, attack, decay, no trailing noise or clipping) and whether it suits the project's mood and the moment it will play on.\n\n**2. Decide based on that judgment.**\n- **If it fits:** reuse or adopt it. The point is to bring the existing file into the project's ledger so it's a frozen local file with a record, rather than leaving it as a loose file. Flags for ingest (`--from`) and adopt are documented in `references/resolve.md`.\n- **If it doesn't fit:** resolve a fresh one with `resolve --type sfx --intent \"short chime\" --project <dir>`. A chime is a sound effect, so `sfx` is the right type, not `bgm`. It searches the bundled 19-file library first and then the HeyGen catalog (which needs the `heygen` CLI). If the host app provides its own sound-effect tools, those take priority. If `HEYGEN_API_BASE` is set, the call goes through the host with no CLI sign-in.\n\n**3. Expect a compact result.** Resolve returns one line, `resolved <id> → <path> (<type>, <metadata>)`, and the search noise stays on disk.\n\n**4. Where the chime goes.** If it's meant for a transition or hard cut, that's the grounded signal for a transition SFX. I'd mention it in the single consolidated media-opportunity ask, not add it silently.\n\nThe main point is that a matching license and duration only make the candidate eligible. The fit check decides whether it gets reused.",
    "7729984c7a431e1e14e253120f9132c0d4bdd6c1278e4d58dd2a88115086009d": "The next step is to judge the local candidate's fit yourself, before resolving anything fresh.\n\n1. **Check fit.** License and duration are fine, but those are only two of the criteria. Fit is a judgment call: does the chime's timbre, brightness, and tail suit the moment it will punctuate and the project's overall sound? Check the candidate's metadata and description, and listen to it if you can. The skill's rule is to list reusable candidates (`resolve --candidates`) and decide on fit rather than assuming a match.\n\n2. **If it fits, reuse it.** Adopt the existing local asset through the reuse/adopt path instead of generating or downloading a duplicate. The exact flags are documented in `references/resolve.md`, which I haven't read in this session, so I won't guess at the syntax.\n\n3. **If it doesn't fit, resolve fresh.** Run `resolve --type sfx --intent \"<short chime description>\" --project <dir>`. This searches the bundled 19-file SFX library first, and the HeyGen catalog too if the `heygen` CLI is available. It returns one line (`resolved <id> → <path> ...`) and freezes the file locally with a ledger record. If the host app provides its own sound-effect tools, use those instead.\n\n4. **Don't mutate silently.** If you add the chime to the composition, tell the person which asset you chose and why, rather than slipping it in unannounced.\n\nI haven't run any of this, per your instructions. It's the workflow I'd follow once tools are allowed.",
    "0c5919fae870624bb732e0d3f4953ed199d41c0c8f32a44866a8c5070b240c1a": "Since a short chime is a sound effect, the type is `sfx`. The next step is to judge the local candidate's fit, not to resolve something fresh.\n\n**1. Check fit on the candidate.** License and duration already pass, but fit is the part I have to judge myself. That means checking whether the timbre and character suit the project's tone, whether the attack and tail are clean, and whether it works at the moment it will play (for example, a transition or a confirmation). Fit is a judgment call, so I wouldn't treat a passing license and duration as approval.\n\n**2. If it fits, reuse it.** I'd adopt the existing candidate instead of resolving a new one. That gets it into the project's ledger as a frozen local file, so it is recorded and reproducible. The exact reuse and adopt flags live in `references/resolve.md`, which I'd read before running anything.\n\n**3. If it doesn't fit, resolve fresh.** I'd run:\n\n```bash\nnpx hyperframes media-use resolve --type sfx --intent \"short soft chime\" --project <dir>\n```\n\nThe `sfx` type searches the bundled 19-file library first. It also searches the HeyGen catalog, but that part needs the `heygen` CLI unless the host sets `HEYGEN_API_BASE`. If the host app provides its own sound-effect tools, I'd use those instead.\n\n**4. Check the result and ask once, if it applies.** The output is a single `resolved <id> → <path>` line. I'd confirm the file is in the composition at the intended timing. If the project has other gaps, such as no music bed or silent cuts, I'd raise them in one consolidated question, not one per asset.\n\nI haven't run anything, so nothing above has been checked against the actual candidate.",
    "fc482c9d4cfcb1c09b22e2b8a86323ecc51da21aaf108485b1b2722ea35119f9": "The candidate has cleared two gates (license and duration), but fit is unverified, so it is a shortlisted candidate and not yet the chosen asset. The next step is a fit check.\n\n**1. Define fit criteria** (if not already written down)\n- Tone: does it match the product's feel (friendly, neutral, urgent, premium)?\n- Purpose: confirmation, notification, or completion. Each wants a different character.\n- Technical qualities: no clipping, clean attack and tail with no abrupt cutoff, no noise or artifacts, and a sample rate and format the project supports.\n- Loudness: consistent with the other sounds in the project and not jarring at typical volume.\n- Repetition: if it will play often, it should not become grating.\n\n**2. Audition the candidate**\n- Listen to it in isolation, then in context (in the app or build, alongside other audio, on the likely playback devices such as speakers and headphones).\n- Check that it is distinguishable from other sounds and doesn't clash with them.\n\n**3. Decide**\n- **Pass:** adopt it. Record the source, license, and attribution requirements next to the asset. Make any needed edits (trim, normalize, fade, convert format), keeping the original untouched. Then integrate it.\n- **Fail or marginal:** reject it, note why, and look for another candidate. Check the license and duration first so you don't waste time auditioning unusable options. Light editing, such as a fade or a pitch or volume change, may rescue a marginal one if the license permits modification.\n\n**4. Record the outcome**\nWhichever way it goes, note the decision and rationale so the choice isn't repeated or lost.\n\nUntil step 2 is done, I wouldn't describe the chime as selected or ready for use, only as licensed and correctly sized.",
    "c898af27b1f9b69a3d180f0b916661a2a6d69bbe0944d5169bcc039e4a630c9c": "**Next asset workflow: verify the local candidate before adopting it**\n\nThe candidate already clears the two hard gates (license and duration), so the open question is purely whether it fits. Here's the sequence I'd follow:\n\n1. **Audition it in context.** Play the chime where it will actually be used (the real trigger, the real UI or scene, at realistic volume), not in isolation. Judge:\n   - Tone: does it match the project's feel (bright, soft, playful, serious)?\n   - Attack and tail: does it start cleanly and decay without clicks, abrupt cutoffs, or lingering noise?\n   - Repetition: if it fires often, does it stay pleasant or become grating?\n   - Layering: does it clash with other sounds, music, or notification tones?\n\n2. **Check technical fit.** Confirm format, sample rate, bit depth, channel count (mono vs. stereo), and loudness relative to other project audio. Note any normalization, trimming, or fade needed, and whether the file size is acceptable.\n\n3. **Decide.** Three outcomes:\n   - **Accept as-is** if it passes.\n   - **Accept with minor edits** (trim silence, normalize, add a short fade) and keep the original alongside the edited version.\n   - **Reject** if the tone or behavior is wrong, then move on to the next candidate or source a new one, applying the same license and duration filters first.\n\n4. **Record provenance once accepted.** Log the source, author, license name and link, any attribution requirements, the original filename, and any edits made. Doing this at adoption time avoids having to reconstruct it later.\n\n5. **Integrate and verify.** Add the final asset to the project in the right location and naming convention, wire it up, and re-test it in the running project to confirm it behaves correctly.\n\nThe key point is that license and duration only make the candidate *eligible*. It shouldn't count as chosen until the fit check is done and the decision is recorded.",
    "56f20e9915634518afb30204900dbdb8f3c25a8af2adacec7ff2b2002b881130": "The candidate already passes the two gating checks, license and duration, so the next step is to check fit before it goes into the project.\n\n**1. Define fit criteria (briefly, before listening).**\nDecide what \"fits\" means for this chime: its purpose (notification, success, startup), the tone you want (bright, soft, neutral), and whether it should avoid sounding like a well-known branded sound. Writing the criteria first keeps the judgment from drifting to whatever the candidate happens to sound like.\n\n**2. Audition the candidate in context.**\nListen to it in the place it will be used, not in isolation. Check:\n- **Tone and mood:** does it match the product's character?\n- **Repetition:** is it still tolerable if it plays often?\n- **Mix:** does it clash with other UI sounds or music, and does it hold up at low volume and on small speakers?\n- **Technical quality:** no clipping, clicks, or abrupt tail cutoffs, and a clean start and end, since short sounds expose these.\n- **Format:** the sample rate, channels, and file type match what the project uses, or conversion is straightforward.\n\n**3. Decide.**\n- **Accept:** fit is good, so move on to integration.\n- **Accept with edits:** minor fixes such as trimming silence, normalizing loudness, or adding a fade-out. Keep the original file and note what was changed, since the license may govern modifications.\n- **Reject:** fit is poor, so search for another candidate and run the same license, duration, then fit checks.\n\n**4. Integrate and record (if accepted).**\n- Put the file where the project keeps its assets, with a clear name.\n- Record provenance next to it: source, author, license, and any edits made. Your license check is only useful later if it's written down.\n- Wire it in and verify it plays at the intended trigger point.\n\n**5. Re-check after integration.**\nListen once more in the running project, because fit problems often only show up once the chime plays alongside real UI behavior.\n\nOne caveat: since I haven't heard or inspected the file, I can't say whether it fits. Everything above is the process for finding out.",
    "75901616e95a2893f8483dcfc3f7dd8fc57f0cdc2a3ab858a7a752b483de6868": "The candidate has the right license and duration, but fit is unchecked, so the next step is to check fit before committing to it.\n\n**1. Define what \"fit\" means for this chime.**\nWrite down a few criteria for the project, such as the event it signals (success, notification, completion), the tone (bright, soft, playful, formal), and how it should sit with the rest of the audio. I don't have the project's specifics, so these are yours to set.\n\n**2. Audition the candidate in context.**\nListen to it in the place it will play, not in isolation. Check:\n- Whether the character matches the project's tone and the action it accompanies.\n- Whether it still works when repeated, since chimes tend to play often.\n- Whether the start and end are clean, with no clicks, abrupt cutoffs, or long tails.\n- Whether the loudness and frequency range fit alongside other sounds, on the speakers or devices your users are likely to have.\n- Whether the format and sample rate suit the project.\n\n**3. Decide.**\n- **Pass:** accept it and move to integration.\n- **Close but flawed:** if the license allows modification, consider small edits like trimming, fades, or level changes. Check the license terms before editing.\n- **Fail:** reject it and look for another candidate, applying the same license and duration filters first and the fit check second.\n\n**4. Integrate and record.**\nAdd the accepted file to the project's asset location and keep the license and source information alongside it, so the provenance is clear later. Note the fit decision too, in case someone asks why this chime was chosen.\n\n**5. Verify in the real build.**\nPlay it in the running project once it's wired in, since fit can differ from how it sounded in the audition.\n\nThe license and duration checks are already done, so the remaining work is the fit review, and that is the gate before the asset is adopted.",
    "8a98e524d031c88f8260ea0952622b0ef113b6ee4e9084dbc8ba8b700e11e957": "Here's the workflow from where you are now. The local candidate already clears the two hard constraints (license and duration), so the remaining question is purely whether it fits the project.\n\n**1. Audition the candidate in context**\nPlay it where it will actually be used, not in isolation. Check:\n- **Tone:** does it match the project's feel (bright, soft, playful, serious)?\n- **Timbre and pitch:** does it clash with other sounds or music playing nearby, or with the surrounding UI or scene?\n- **Attack and tail:** a chime should start cleanly and decay without clicks, abrupt cutoffs, or a long ring that overlaps repeated triggers.\n- **Loudness:** compare it against the other assets at the same output level, so it neither disappears nor jumps out.\n- **Repetition:** if it fires often, listen to several back-to-back plays to see if it grates.\n\n**2. Decide: accept, adjust, or reject**\n- **Accept** if it passes as-is.\n- **Adjust** if the issues are minor: trim silence, add a short fade, normalize the level, or tweak pitch. Keep the original untouched and work on a copy.\n- **Reject** if the problem is the character of the sound itself, then move to the next candidate or widen the search, applying the same license and duration filters.\n\n**3. Record provenance once it's accepted**\nEven though the license is already confirmed, write down the source, license name, any attribution requirement, and the date. Note any edits made. This keeps the asset auditable later.\n\n**4. Integrate and verify**\nAdd it to the project's asset location following existing naming and format conventions, wire it up, and test it in the real build, since playback behavior can differ from your audition setup.\n\n**5. Commit**\nCommit the asset together with its provenance note, so the license record travels with the file.\n\nOne caveat: I haven't heard the file or seen the project, so I can't say whether it fits. That judgment comes from step 1.",
    "6304d45e14eaba022f8d4a65b8e9b755c36bb7722d22fad724d8dc24327cc67a": "**Sourcing plan for the company logo (nothing run yet, just the plan)**\n\n1. **Confirm the company.** I need the exact company name (and ideally its domain) before resolving anything. Nothing has been supplied, so I won't guess.\n\n2. **Use the `logo` resolver, not a redraw.** The media-use `resolve --type logo` path pulls official brand marks through a fixed cascade:\n   - theSVG (official SVG marks) first\n   - then the company's GitHub avatar\n   - then the site favicon as a last resort\n\n   The result is frozen as a local file with a ledger record, so the composition references a stable asset.\n\n3. **Check reuse first.** Before resolving fresh, list existing candidates with `--candidates` and reuse a logo already in the project or ledger if it fits.\n\n4. **Prefer a user-supplied file if one appears.** If you can send the official logo (SVG or high-res PNG), ingest it with `--from` instead. That beats any fallback.\n\n5. **Be honest about fidelity.** If only the favicon or GitHub avatar is found, I'll say so. Those are low-resolution and may not be the real brand mark, so you can decide whether to accept them or provide the official file.\n\n6. **Verify before use.** I'd view the resolved file to confirm it's the right company and is clean (transparent background where expected), then place it in the composition.\n\n**What not to fabricate**\n\n- **No redrawn or \"recreated\" logos.** I won't hand-draw an SVG, approximate it with CSS or text, or have an image model generate a lookalike mark.\n- **No invented brand details:** no guessed colors, typefaces, wordmarks, or taglines presented as official.\n- **No fake provenance.** I won't claim a file is the official logo if it came from a favicon or avatar fallback, and I won't make up a source URL or license.\n- **No silent substitution.** If the cascade finds nothing reliable, I'll report that and ask for the file rather than slotting in a placeholder that looks like a real logo. If a placeholder is needed for layout, it will be visibly labeled as one (e.g., a neutral box reading \"LOGO\").\n\n**Practical note:** the resolve step needs the company name and a run of the CLI, which I haven't done per your instructions. When you're ready, give me the company name (or the file) and I'll proceed.",
    "e07be2768c5215a50b2a158716ea496ee59bd91e72efb63432429791b03cf66d": "I haven't run anything. This is the plan I'd follow once you approve it.\n\n## Sourcing plan\n\n1. **Get the exact company name, and ideally its domain or GitHub org.** You haven't given me either. The lookup needs one of them, and a wrong guess could pull in a different brand's mark.\n\n2. **Check for a reusable logo first.** Run `npx hyperframes media-use resolve --type logo --candidates --project <dir>` to see whether this project's ledger already has one, and judge the fit myself before resolving fresh.\n\n3. **Resolve it with the logo cascade.**\n   ```bash\n   npx hyperframes media-use resolve --type logo --intent \"<Company> official logo\" --project <dir>\n   ```\n   The cascade tries, in order:\n   - **theSVG**, the best case since it gives a vector brand mark.\n   - **The company's GitHub avatar**, a raster fallback that is often the real brand mark but may be cropped or low-res.\n   - **The site favicon**, the last resort. It is usually tiny and should be flagged as low quality if it's the one that lands.\n\n4. **Report which tier it came from.** The one-line result gives the path and metadata. I'd tell you whether it's a vector, avatar, or favicon, since that decides whether it's good enough for a hero shot or only a small corner bug.\n\n5. **If the result is weak or wrong, ask you for the official file.** The best fix is a brand-kit SVG or PNG, which I'd ingest with `--from`. A press-kit or brand-guidelines page from the company is the right place to get one.\n\n## What not to fabricate\n\n- **Don't redraw, trace, or approximate the logo** in SVG, CSS, canvas, or text. The skill states brand marks are never redrawn.\n- **Don't substitute a lookalike**, such as a styled wordmark in a similar font, initials in a circle, or a generic icon from `--type icon`, and present it as the company's logo.\n- **Don't recolor, stretch, crop, or add effects** to a resolved mark. If a variant is needed (light or dark background), it should come from the source or from you.\n- **Don't guess the company's identity, domain, or GitHub org.** If the cascade finds nothing confident, I'll say so rather than pick the closest match.\n- **Don't silently fall back to a placeholder.** If no real logo resolves, I'll say that and leave the slot visibly empty or ask you, rather than shipping a made-up one.\n\nSend me the company name (and domain or GitHub org if you have them) and I'll run the resolve.",
    "f633e2211f36bf9a66d4ef7fa97c56dba081d6a5572980cb40d745f16fb16057": "# Logo sourcing plan (nothing run, plan only)\n\n**Short version:** use the `logo` resolver to fetch the official mark, and never draw one myself.\n\n## Plan\n\n1. **Get the exact company name.** I also need the domain or GitHub org if there is one. Without these the lookup can match the wrong brand.\n2. **Check for an official file first.** If you have a brand kit, press page, or an SVG from the design team, that wins. It can be brought in with the resolver's ingest option (`--from`), and the ledger then records it as supplied.\n3. **Otherwise, resolve it.** The command would be:\n   `npx hyperframes media-use resolve --type logo --intent \"<Company> official logo\" --project <dir>`\n   The resolver tries these sources in order:\n   - **theSVG**, which has official brand marks as vector files.\n   - **The company's GitHub avatar**, if theSVG has no match.\n   - **The site favicon**, as a last resort.\n4. **Check reuse before fetching.** I'd run `--candidates` to see whether the project or memory already holds this logo, and reuse it if it fits.\n5. **Report which source won.** A favicon or GitHub avatar is a low-resolution fallback, so I'd tell you plainly if that's what we got. You can then decide whether to supply a better file.\n6. **Verify placement.** Once the file is frozen locally, I'd check it in the composition at its real size for blur, cropping, and contrast against the background.\n\n## What not to fabricate\n\n- **Don't redraw, trace, or approximate the logo** in SVG, CSS, or canvas, even if it looks simple.\n- **Don't substitute a lookalike**, such as a wordmark typed in a similar font, a generated image, or an emoji.\n- **Don't invent brand details:** colors, proportions, or a tagline lockup. A recolored or distorted mark counts as fabrication too.\n- **Don't guess the source.** If the resolver misses, or only the favicon is available, I'll say so rather than pass it off as the official asset.\n- **Don't label something \"official\"** unless it came from theSVG, the company's own GitHub, or a file you supplied.\n\nIf no genuine source turns up, the honest options are a clearly marked placeholder or a file from you, and I'd ask which you prefer.",
    "1f0c8836582ac03d74ddda7b5aeda5fe389959161bbf9e866bbbdd50a76058d8": "**Sourcing plan (nothing run yet, just the plan)**\n\n1. **Use the `logo` resolver, not a redraw.** The skill's one verb for this is `npx hyperframes media-use resolve --type logo --intent \"<company name>\" --project <dir>`. It looks for an official mark in a fixed cascade: theSVG first, then the company's GitHub avatar, then its favicon. The result is a frozen local file plus a ledger record.\n\n2. **Check for reuse first.** Before resolving fresh, I'd list candidates with `--candidates` and judge whether an already-resolved logo in the ledger fits.\n\n3. **Ask for the company name and domain.** The resolver needs to know which brand is meant. If the name is ambiguous (several companies share it), I'd confirm the right one rather than guess.\n\n4. **Prefer a user-supplied file if one turns up.** If you later have an official logo (brand kit, press page, designer export), it can be ingested with `--from`, which beats any fallback source.\n\n5. **Judge fit of the result.** The cascade degrades in quality: a theSVG vector is best, a GitHub avatar is often a square crop, and a favicon is small and low-resolution. If only the favicon comes back, I'd tell you it's low-res and suggest you supply a proper file rather than upscaling it and presenting it as final.\n\n6. **Setup caveat.** Without `HEYGEN_API_BASE` set, the skill suggests verifying the environment with `resolve --doctor` first. I haven't run that, so I can't say whether the resolver is ready.\n\n**What not to fabricate**\n\n- **Don't draw, trace, or recreate the logo** in SVG, CSS, or text, and don't approximate it with a styled wordmark or initials in a brand-like font.\n- **Don't generate one with an image model** and pass it off as the company's mark.\n- **Don't invent brand details**: colors, typeface, proportions, taglines, or a domain/handle I haven't confirmed.\n- **Don't claim a match.** If the cascade finds nothing or a wrong-company result, I'd report that plainly instead of substituting something plausible.\n- **Don't silently use a placeholder.** If one is needed so layout work can continue, I'd label it clearly as a placeholder and flag it for replacement.\n- **Don't misreport provenance.** The ledger should show which source (theSVG, GitHub, favicon, or user-supplied) the file came from.\n\nIf the resolver can't find an official mark, the next step is for you to provide the file or point me to the company's official brand page.",
    "ce7cd9417830ba29d96468b6abd6ade967f2b5ad22c9838786ced7914ceb4c2d": "# Logo sourcing plan\n\n**Current state:** No official logo file has been supplied, and I don't have the company name, brand guidelines, or any asset location in the facts given. So there is nothing I can legitimately place in the project yet.\n\n## Sourcing plan\n\n1. **Ask the owner.** Identify who owns brand assets (marketing, design, founder, or the client's contact) and request the official logo directly.\n2. **Request the right formats.**\n   - Vector: SVG (preferred), plus PDF or EPS as a master.\n   - Raster fallbacks: PNG with transparency at 1x/2x/3x, and a favicon-size version (or a square mark).\n   - Variants: full-color, one-color/mono, light-on-dark and dark-on-light, horizontal and stacked lockups, icon-only mark.\n3. **Request usage rules.** Brand guidelines or a press kit covering clear space, minimum size, approved colors, and any restrictions. Also confirm licensing/permission for the intended use.\n4. **Check official channels if the owner is slow.** The company's own press/media page, brand portal, or a design-system repo. Only use assets the company itself publishes for that purpose.\n5. **Record provenance.** Once received, store it in a dedicated location (e.g. `assets/brand/`), and note the source, date, who supplied it, and version in a README or commit message.\n6. **Use a clearly marked placeholder in the meantime.** A neutral box labeled \"Logo placeholder\" with the intended dimensions, so layout work isn't blocked and nobody mistakes it for the real thing.\n\n## What not to fabricate\n\n- **Do not invent or draw a logo**, including a stylized wordmark made from the company name in a chosen font, and present it as the brand's logo.\n- **Do not guess at brand details**: colors, typeface, proportions, or iconography.\n- **Do not scrape or substitute** a logo from a search result, social profile, third-party site, or a similarly named company. It may be outdated, low quality, wrongly licensed, or belong to someone else.\n- **Do not recreate or \"clean up\"** a low-resolution copy by tracing or redrawing it.\n- **Do not assume permissions** or claim the asset is approved when it isn't.\n- **Do not invent provenance**, such as stating a file came from the brand team when it didn't.\n- **Do not alter** the official logo once received (recolor, stretch, crop, add effects) beyond what the guidelines allow.\n\n## Suggested message to the owner\n\n> We need the official company logo for the project. Could you send the SVG (and PNG fallbacks), light/dark variants, and any brand guidelines or usage restrictions? Until then we're using a labeled placeholder.\n\nIf you tell me the company name and where the assets might live, I can help plan the integration once the file is available.",
    "f7d4e9fe473abcc13dc398eb122547d9f9fa9994649580e9f0fe2fefd5f8a17b": "# Logo Sourcing Plan\n\n**Status:** No official logo file has been supplied, so the project has nothing authoritative to use yet. The plan is to get the real asset from its owner rather than make a stand-in.\n\n## Sourcing steps\n\n1. **Ask the owner.** Request the logo from whoever controls the brand: marketing, design, or the founder/company contact. Ask for:\n   - Vector formats (SVG, plus PDF or EPS if available)\n   - A high-resolution PNG with transparent background\n   - Light-background and dark-background variants\n   - Icon-only and full wordmark versions\n   - Any brand guidelines (clear space, minimum size, color values, usage restrictions)\n2. **Check existing company-controlled sources.** Look in the brand/press kit, the company website's media page, shared design drives (Figma, Google Drive), or prior approved materials such as slide decks. Use only files the company published or provided as its own.\n3. **Confirm usage rights.** Get written confirmation (even an email) that the file may be used in this project and in what contexts.\n4. **Record provenance.** Note where the file came from, who supplied it, the date, and the version, ideally in the repo's README or an assets note.\n5. **Use a clearly marked placeholder in the meantime.** A plain, neutral box labeled \"Logo placeholder\" (or just the company name in text) keeps layouts working without implying a real logo exists.\n\n## What not to fabricate\n\n- **Do not invent a logo.** No generated mark, monogram, or stylized wordmark presented as the company's logo.\n- **Do not recreate or approximate it from memory or description.** Look-alikes risk misrepresenting the brand.\n- **Do not scrape or substitute a logo from a third-party source** (search results, social avatars, unrelated sites) without confirming it's the current official version and that rights allow use.\n- **Do not make up brand details:** colors, fonts, taglines, or usage rules. Leave these as open questions until the guidelines arrive.\n- **Do not invent a provenance.** Don't claim the placeholder is \"official\" or \"approved,\" and don't cite a source or approval that didn't happen.\n- **Do not hide the gap.** Flag the missing asset in the project notes or PR description so the placeholder gets replaced before release.\n\n## Open item\n\nThe one blocker is a contact who can supply the official file. Once you identify them, the request in step 1 can go out as-is.",
    "8448d979ca24bc68c697f3984fc08d6b400a58003a307c615de614a4c43a934f": "# Logo sourcing plan\n\n**Current state:** No official logo file has been supplied, and I haven't looked in the repo or anywhere else (per your instruction, no tools). So I can't say whether one already exists in the project.\n\n## Plan\n\n1. **Ask the owner first.** Request the official logo from whoever owns the brand: marketing, design, or the founder/company contact. Ask for vector formats (SVG, or PDF/AI/EPS) plus a PNG fallback.\n2. **Request the variants the project will need:**\n   - Full-color, one-color, and reversed (for dark backgrounds)\n   - Horizontal and stacked/icon-only lockups\n   - A square version for favicons and app icons\n3. **Get usage rules.** Ask for the brand guidelines or a press/media kit covering clear space, minimum size, color values, and permitted modifications.\n4. **Check usage rights.** Confirm the project is allowed to use the logo, especially if it's public-facing or open source, since a logo is typically trademarked and not covered by the code license.\n5. **Use a clearly marked placeholder in the meantime.** A plain text wordmark or a neutral box labeled \"Logo placeholder\" in the layout, with a TODO noting the logo is pending from the owner.\n6. **Once received,** store it in one agreed location (e.g. an `assets/` or `brand/` directory), record its source and date, and reference it from there rather than copying variants around.\n\n## What not to fabricate\n\n- **The logo itself.** Don't draw, generate, or approximate one, including recreating it from memory or a description, or typesetting the company name in a font and presenting it as the logo.\n- **Brand details.** Don't guess colors, typefaces, taglines, or proportions, or invent hex codes.\n- **Provenance.** Don't claim a file is \"official\" or \"approved\" when it isn't, and don't pull an image from a website or search result and label it as the supplied asset.\n- **Permissions.** Don't assume or state that usage is licensed or cleared.\n- **Completion.** Don't mark the logo task as done while a placeholder is in use. Report it as pending.\n\n## What I need from you\n\nThe name of the company contact, or the logo file itself. Once I have it, I can help place it and wire it into the project.",
    "6e46b0a92f0d842e432edd009e4239af991d5f100da605874fed963367948c82": "Here is the workflow I'd follow. Nothing has been run, since you asked for text only.\n\n**1. Read the treatment guide first**\nI'd read `references/media-treatments.md` before touching anything. Broad feedback like \"too dark\" counts as media intent, so it goes through the treatment path, not a one-off hack.\n\n**2. Inspect the real media**\n- I'd look at the actual `<img>`/`<video>` elements, not a guess about them.\n- For video, I'd view one labeled early/middle/late contact sheet instead of reading frames separately.\n- I'd run `hyperframes media-treatment --selector '#hero' --analyze --json` (with the right selector) to get measured exposure evidence. Because all the supplied frames are uniformly dark, this looks like a global under-exposure and not a lighting choice in one scene.\n\n**3. Choose one primary intent**\nThe intent is \"lift exposure and recover shadows\". I'd check that the dark look isn't deliberate (night scene, moody look). If it might be, I'd say so, since a blind correction can ruin an intentional look.\n\n**4. Build a bounded candidate**\n- I'd use a matching recipe as a seed, or check `hyperframes media-treatment --capabilities --json` and request only the relevant family with `--capability <id>`. I would not load `--all`.\n- The treatment would be a preset/adjustment JSON with modest exposure, shadow lift, and perhaps a small contrast or white-point tweak to keep it from looking flat. I'd add nothing beyond what the footage justifies.\n- **No LUT**: you didn't supply one, and a `.cube` file isn't warranted for exposure, shadows, or contrast. Running `resolve --type grade --for ... --analyze` would only be measurement evidence, not a replacement for the chosen treatment.\n- **No CSS/SVG overlays** to fake brightness. That would bypass Studio controls and the canonical preview/render shader path.\n\n**5. Preview and review**\nI'd apply the one candidate, then inspect one after-sheet using the same early/middle/late frames. I'd check that:\n- Shadows are lifted without highlights clipping.\n- Skin tones and color haven't shifted unnaturally.\n- Noise in the lifted blacks is acceptable.\n\nI'd escalate to individual frames or moving draft evidence only if the result is ambiguous, temporal, stylized, HDR/LOG-sensitive, private, or brand-critical.\n\n**6. Confirm, then persist**\nI'd show you the before/after and the proposed values and get your approval. Then I'd persist the final preset/adjustment JSON with `hyperframes media-treatment`, so it is stored as a deterministic treatment and stays editable in Studio. I'd take the exact persist flags from the media-treatments reference.\n\n**7. Verify**\nAfter persisting, I'd confirm the saved treatment renders the same as the preview, with a final check on a sample frame.\n\nIf you'd like, I can proceed with step 1 once you allow tool use.",
    "99bff59afec960307a3691b99cfac3bc6a068b266e9b53cdee0f1d4f6753a8f5": "Since the frames read uniformly dark and no LUT was supplied, this is an ordinary correction. I'd handle it as a treatment with adjustment JSON, not a generated LUT. I can't run anything in this turn, so this is the plan, not results.\n\n**1. Inspect the evidence**\n- Look at one labeled early/middle/late contact sheet of the real `<img>`/`<video>` element, not separate frames.\n- Run the analysis for measurement only: `npx hyperframes media-treatment --selector '#hero' --analyze --json` (swap in the real selector).\n- Check whether the darkness is a defect or intentional (night scene, moody look). If it could be intentional, I'd ask before changing it, since a blind correction can ruin a deliberate look.\n\n**2. Pick one primary intent and one candidate**\n- The intent is exposure correction: lift exposure and shadows, with minimal contrast or warmth tweaks only if the analysis justifies them.\n- I'd read `references/media-treatments.md` first for the exact schema and control names. I haven't read it in this turn, so I won't guess at parameter names here.\n- Keep it bounded: no extra effects, grain, vignette, or presets just to look more sophisticated.\n- I would not run `resolve --type grade --for ... --analyze` to produce a `.cube` file, and no LUT will be created. The analysis is measurement evidence and doesn't replace the chosen treatment.\n\n**3. Apply and verify**\n- Persist the candidate with `hyperframes media-treatment` as preset/adjustment JSON, so it stays editable in Studio and goes through the canonical preview/render shader path.\n- Inspect one after-sheet using the same early/middle/late frames.\n- Escalate to individual frames or a moving draft only if something is ambiguous. That could be crushed blacks, clipped highlights, or noise lifted out of shadows. HDR/LOG sources, brand-critical footage and similar cases would also warrant escalation.\n\n**4. Persist and report**\n- The final stored payload is the adjustment JSON that passed the after-sheet check.\n- I'd show you the before and after sheets and the values used, and offer to tweak or revert. Nothing gets baked in without your approval.\n- I'd avoid CSS/SVG filters or overlays to brighten the frames, since they bypass Studio controls and the render path.\n\nWant me to go ahead with this, and what's the selector for the footage?",
    "42f421a4fa0d882e676acb764ac4e6e0d321e53be18f837dae43c6c7469c9db4": "Here is the workflow I'd propose. Nothing has been run, and the exact flags below need confirming against the references when I execute it.\n\n**1. Read the guidance first**\nI'd read `references/media-treatments.md` before touching anything, since this is photographic media with a broad \"too dark\" complaint.\n\n**2. Inspect the footage**\n- Look at one labeled early/middle/late contact sheet of the real `<video>` or `<img>`, not frames one at a time.\n- Confirm the darkness looks like underexposure and not an intentional low-key look (night scene, moody grade). If it's intentional, I'd ask before correcting.\n- Run `npx hyperframes media-treatment --selector '#hero' --analyze --json` to get measurements. These are evidence for choosing values, not a decision.\n\n**3. Choose one primary intent: exposure correction**\n- Use bounded, source-justified adjustments such as exposure/brightness lift, with shadows or contrast tweaks only if the measurements and contact sheet show they're needed.\n- No LUT. None was supplied, and I won't generate a `.cube` file just to encode exposure, shadows, contrast, or warmth. `resolve --type grade --analyze` stays measurement-only.\n- No stylization, extra effects, or overlays. I'd add nothing \"to look more sophisticated.\"\n- No CSS/SVG overlays or filters to fake brightness. That bypasses Studio controls and the canonical preview/render shader path.\n- If I need exact control IDs, I'd check `hyperframes media-treatment --capabilities --json` and request only the relevant family with `--capability <id>`, never `--all`.\n\n**4. Preview and propose, don't silently apply**\n- Apply one candidate and inspect one after-sheet, with the same early/middle/late frames as before.\n- Show you the before/after and the proposed values, and let you approve or adjust. I'd keep to a single candidate for ordinary correction.\n\n**5. Escalate only if needed**\nI'd look at individual frames or moving draft evidence only if the result is ambiguous, for example:\n- highlights clip\n- the look is temporal or varies a lot across the clip\n- the footage is HDR or LOG\n- it's private or brand-critical\n\n**6. Persist**\nOnce you approve, I'd persist the final treatment's preset/adjustment JSON with `hyperframes media-treatment`, so it's deterministic, editable in Studio, and rendered through the same shader path. Then I'd verify with a final check of the persisted state against the after-sheet.\n\nPlease confirm the selector(s) for the footage, and whether the dark look is unintentional.",
    "0f4a0365d748f45244131883f3729421ae8e8d1238bfdc7018695568087ec54f": "# Exposure-correction workflow (no LUT)\n\nSince all frames are uniformly too dark, one shared correction should work better than per-frame auto-exposure. Here is the workflow I'd propose.\n\n## 1. Measure (read-only)\n- Compute per-frame luminance stats: median, 1st/99th percentile, and the fraction of clipped pixels at each end.\n- Check that the frames really are uniformly dark, meaning a tight spread of medians across the set. Outliers (fades, intentional low-key shots) get flagged and excluded from the batch decision.\n- Work out whether the source is RAW, or 8-bit or higher display-referred. This decides whether the gain is applied in linear light or approximated.\n\n## 2. Propose a single parameter set\n- Derive one exposure offset in stops (EV) from the batch median, aimed at a target mid-tone, rather than a per-frame auto-level. This avoids flicker and keeps frame-to-frame consistency.\n- Apply the gain in linear light where possible. If the data is display-referred, convert to linear, apply 2^EV, and convert back, instead of using a gamma or curve hack.\n- Add an optional highlight-protection roll-off, enabled only if the 99th percentile would clip after the gain.\n- State the expected side effects: raised shadow noise and possible banding in 8-bit sources. The intermediate should be 16-bit or float to avoid compounding that.\n\n## 3. Review before anything is written\n- Produce a contact sheet of a representative sample (darkest, median, brightest, plus any flagged outliers), showing before and after side by side with histograms and clipping overlays.\n- Show the proposed EV and the predicted clipped-pixel percentage.\n- You approve, adjust the EV, or exclude frames. Nothing is written until you sign off.\n\n## 4. Persist\n- **Originals stay untouched.** Corrected frames go to a separate output directory, never overwriting sources.\n- **A sidecar file** (JSON or XMP) records the parameters: EV offset, highlight roll-off, color-space assumptions, target and measured stats, tool version, and source file hashes. This makes the result reproducible and the correction reversible.\n- **Version control:** commit the sidecar and any small script to the repo, with a message describing the decision. Keep large image outputs out of git (ignore or use LFS).\n- **A manifest** lists each input, its output, and whether it was excluded, so a later re-run or tweak is a one-line parameter change.\n\n## 5. Verify\n- Re-measure the outputs and confirm the medians land near the target and the clipping stays within the approved budget.\n- Report any frames that deviated, rather than silently passing the batch.\n\n## What I'd need from you\n- Format and bit depth of the frames (RAW, JPEG, or video), and the color space if known.\n- Your target look (for example \"median around mid-gray\" versus \"keep it moody\").\n- Where outputs should go, and whether sidecars should live next to the sources or in a separate directory.\n\nI'd recommend a single global EV offset with a review gate, since it's the simplest option that keeps the set consistent and is fully reversible.",
    "bf3f4c36d754627e2f9012a275ca0941ce430455f58de0cd627852ee2921d5a5": "# Proposed workflow: exposure correction for uniformly dark frames\n\nI haven't looked at the frames, and I'm assuming nothing about their format. Whether they are 8-bit sRGB, 16-bit, raw, or log changes the math, so step 1 settles that.\n\n## 1. Establish the facts\n- Confirm bit depth, color space and transfer function (sRGB/gamma vs. linear vs. log), and whether the frames are raw or already rendered.\n- Confirm \"uniformly dark\" with numbers: per-frame mean luma, median, and 1st/99th percentiles. If the spread across frames is small, one global correction is justified. If it isn't, switch to per-frame values.\n\n## 2. Choose a parametric correction, not a LUT\n- Apply a gain in linear light, expressed in EV stops (`gain = 2^EV`). Convert to linear first, multiply, then re-encode. For raw or high-bit-depth sources, apply it before tone mapping.\n- If highlights are close to clipping, add a gentle highlight roll-off or a small gamma/shadow lift instead of pure gain.\n- Pick EV by targeting a median luma (e.g. mid-gray around 18% linear, or about 0.4–0.5 encoded) rather than eyeballing it. Start with one EV for the whole set.\n\n## 3. Review before anything is written\n- Take a small stratified sample: the darkest, median and brightest frames, plus a few at random.\n- Show before/after side by side with histograms.\n- Report the clipped-pixel percentage at both ends, and flag any frame where it rises noticeably.\n- Check shadow noise at 100% zoom, since lifting a dark frame amplifies noise. If it's objectionable, propose a lower EV or denoising as a separate, explicit step.\n- You approve or adjust the EV, and I re-run the sample. Nothing is persisted until you sign off.\n\n## 4. Persistence\n- **Originals stay untouched.** Write outputs to a separate directory.\n- **Record the settings in a manifest** (JSON or YAML) containing:\n  - the EV value and any roll-off or gamma parameters\n  - source and output color space\n  - per-frame overrides, if any\n  - tool and version\n  - a hash of each source file\n- **Make it reproducible.** Re-running the manifest over the originals must give identical outputs.\n- **Check the output.** After the batch, compare the output frame count to the input, and confirm the post-correction median luma and clipping fall within the reviewed range.\n- **Version control.** Commit the manifest to git, but only when you ask. Large image outputs should stay out of the repo, or go in via LFS if you want them tracked.\n\n## 5. Decisions I need from you\n1. Source format and color space (or permission to inspect the files in a later step).\n2. Global EV for all frames, or per-frame auto-targeting of median luma?\n3. Output format and bit depth. Avoid re-encoding to 8-bit if you may grade further.\n\nMy recommendation is a single global EV, derived from the median-luma target and confirmed on the sample, with a manifest-driven batch run.",
    "8a7afa0528ca000251fb9e5aa0bb1d3ac9f2f9c442b30a89cfef8d3e662080e0": "# Proposed workflow: global exposure correction, reviewed and persisted non-destructively\n\nI'm working only from what you've told me: the frames are uniformly too dark, you want ordinary exposure correction, and there's no LUT. I haven't inspected any files, so the specifics below are assumptions to confirm.\n\n## Approach\n\nUse a **single global exposure offset in EV stops, applied in linear light**, rather than a curve or LUT. Because the frames are uniformly dark, one shared value should work for most of them, with optional per-frame trims for outliers. If the source is 8-bit gamma-encoded, convert to linear, multiply by 2^EV, and convert back. Applying gain directly to gamma values shifts contrast and saturation.\n\n## Review stage\n\n1. **Sample, don't batch.** Pick 5-10 frames spanning the darkest, brightest, and typical cases, including any with highlights such as lights or sky.\n2. **Try 2-3 candidate EV values** (for example +0.7, +1.0, +1.3) and render side-by-side contact sheets of original vs. candidates.\n3. **Check objectively as well as by eye:**\n   - Histogram per candidate: the median should land in a sensible mid-range, with no pile-up at the right edge.\n   - Clipping percentage: flag any frame where more than about 0.5-1% of pixels newly clip.\n   - Shadow noise: look at 100% crops of dark regions, since lifting exposure amplifies noise.\n4. **Pick one value**, then run it over the full set as a low-res preview and scan for outliers. Give those frames their own trim, or exclude them.\n5. **If highlights clip at the chosen EV**, back off the global value or add a gentle highlight roll-off for those frames only. Don't lower the global value for everything to protect a few frames.\n\n## Persistence stage\n\n- **Never overwrite originals.** Write corrected output to a separate directory such as `corrected/`, leaving sources untouched.\n- **Persist the parameters, not just the pixels.** Save a small sidecar or manifest (JSON or YAML) containing:\n  - global EV, the color-space and gain method, and the tool version\n  - per-frame overrides and exclusions, each with a reason\n  - the source filename and a checksum for each frame\n  - the date and who approved the setting\n- **Make it reproducible.** Re-running the batch from the manifest should produce identical output, so you can change the EV later without redoing the review.\n- **Commit the manifest to git** (the repo is clean, so this is a natural place) and keep large image outputs out of version control or under LFS. The commit gives you a history of exposure decisions.\n- **Validate after the batch.** Confirm the output count matches the input count, then re-run the histogram and clipping checks on the full set and report any frames that exceed your thresholds.\n\n## Decisions I need from you\n\n- Source format: RAW, or 8/16-bit JPEG/PNG/TIFF? RAW gives much more headroom for a lift. With 8-bit, a large boost will band and amplify noise.\n- Is there a target look or a reference frame, or is \"median near mid-gray\" good enough?\n- Should the corrected frames replace the originals in your pipeline, or sit alongside them?\n\nOnce you confirm those, I can turn this into a concrete script and manifest schema."
  },
  "draws": [
    {
      "id": "reuse",
      "mode": "with_skill",
      "draw_index": 0,
      "generation_hash": "ac1a2521482dbc223d11dab606fb581f3b00b82ccdfa58abf8171e50766200d4",
      "answer_sha256": "ac1a2521482dbc223d11dab606fb581f3b00b82ccdfa58abf8171e50766200d4",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"The response meets all four criteria: it lists candidates with --candidates before resolving, judges fit rather than reusing blindly, preserves the asset record via ingest/adopt into the ledger, and does not claim to have heard the sample.\"}",
        "{\"score\": 0.5, \"pass\": false, \"reason\": \"Response inspects the local candidate's fit before resolving fresh and does not claim to have heard audio (criteria 1, 2 partially, 4 met), but it never explicitly confirms the candidate is resolved to a concrete local asset with a preserved record, only describing ingest/adopt options conditionally, so criterion 3 is missed; criterion 2 also leans on a 'reuse or adopt' path without evaluating the candidate's actual audio.\"}",
        "{\"score\": 0.5, \"pass\": false, \"reason\": \"Criterion 1 (inspect candidates via --candidates before generating) and criterion 2 (evaluate fit rather than reuse blindly) are met; criterion 3 (resolve a concrete local asset and preserve its record) is only loosely addressed via ingest/adopt references, and criterion 4 is met since it disclaims having run anything, though it never explicitly says no audio was heard.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four criteria: it lists candidates with --candidates before resolving, judges fit rather than reusing on license and duration, resolves a concrete sfx asset with ledger/record preservation, and claims no audio was heard.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four criteria: it lists candidates before generating, evaluates fit before reuse, preserves the asset's record via ledger adoption, and never claims to have heard the sample.\"}"
      ]
    },
    {
      "id": "reuse",
      "mode": "with_skill",
      "draw_index": 1,
      "generation_hash": "7729984c7a431e1e14e253120f9132c0d4bdd6c1278e4d58dd2a88115086009d",
      "answer_sha256": "7729984c7a431e1e14e253120f9132c0d4bdd6c1278e4d58dd2a88115086009d",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 1, 2, and 4: it inspects candidates before generating, judges fit beyond license and duration, and does not claim to have heard audio. Criterion 3 is only partly met, since the reuse path is left unspecified and the ledger record is mentioned but not preserved concretely.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Covers inspecting candidates via resolve --candidates before fresh generation, evaluates fit rather than reusing blindly, names resolve with its ledger record, and does not claim to have heard the audio.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 1, 2, and 4: it checks reusable candidates first, evaluates fit rather than reusing blindly, and says it hasn't run or heard anything. Criterion 3 is only partly met, since it describes a resolve step that freezes a local file with a ledger record but does not resolve a concrete asset.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 1, 2, and 4: it checks candidates and fit before reuse and does not claim to have heard audio. Criterion 3 is only partly met because the reuse path is left undefined and the ledger record is mentioned but not preserved concretely.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Checks the local candidate's fit before resolving fresh, explicitly evaluates fit rather than reusing blindly, gives a concrete resolve command noting the local file and ledger record, and does not claim to have heard the audio.\"}"
      ]
    },
    {
      "id": "reuse",
      "mode": "with_skill",
      "draw_index": 2,
      "generation_hash": "0c5919fae870624bb732e0d3f4953ed199d41c0c8f32a44866a8c5070b240c1a",
      "answer_sha256": "0c5919fae870624bb732e0d3f4953ed199d41c0c8f32a44866a8c5070b240c1a",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Checks the existing local candidate's fit before any generation, judges fit rather than reusing blindly, adopts it into the ledger as a frozen local file, and states that nothing was heard or checked.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 1, 2, and 4: it checks the existing candidate before generating, judges fit rather than reusing blindly, and disclaims having checked the audio. Criterion 3 is only conditionally met, since the concrete resolve and ledger record depend on the fit outcome.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Checks the local candidate before any fresh resolve, treats fit as a judgment rather than auto-approving, adopts it as a recorded frozen file, and states nothing was heard. Some details like references/resolve.md are unsupported by the given facts.\"}",
        "{\n  \"score\": 0.75,\n  \"pass\": true,\n  \"reason\": \"Meets inspect-before-generating, evaluates fit rather than reusing blindly, and does not claim hearing the sample. Resolve/record is only partly concrete: adopt flags are deferred to another file.\"\n}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four criteria: it checks the existing local candidate before resolving fresh, judges fit explicitly, preserves the asset via the ledger and resolve output, and states nothing was run or heard.\"}"
      ]
    },
    {
      "id": "reuse",
      "mode": "baseline",
      "draw_index": 0,
      "generation_hash": "fc482c9d4cfcb1c09b22e2b8a86323ecc51da21aaf108485b1b2722ea35119f9",
      "answer_sha256": "fc482c9d4cfcb1c09b22e2b8a86323ecc51da21aaf108485b1b2722ea35119f9",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 0.5, \"pass\": false, \"reason\": \"Meets criteria 2 (evaluates fit, not blind reuse) and 4 (no claim of hearing the sample); misses 1 (no inspection of candidates before generating) and 3 (no concrete local asset resolved, though record preservation is covered).\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 2 (evaluates fit before adopting), 3 (preserves source, license, and original asset record), and 4 (does not claim to have heard the sample); misses 1 because it never says to inspect reusable candidates before generating anything.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 2 (evaluates fit via explicit criteria and audition), 3 (preserves source, license, and original asset record), and 4 (never claims hearing the sample), but does not explicitly say to inspect other reusable candidates before generating new audio.\"}",
        "{\"score\": 0.25, \"pass\": false, \"reason\": \"Criterion 2 (evaluate fit) is met via fit criteria and audition steps; criterion 4 is met by not claiming the sample was heard; criterion 1 is missed since it never says to inspect existing reusable candidates before generating, and criterion 3 is only partly addressed (it says to record source/license, but does not resolve a concrete local asset path).\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets fit evaluation, record preservation, and no-audition-claim criteria; misses the explicit instruction to inspect reusable candidates before generating anything.\"}"
      ]
    },
    {
      "id": "reuse",
      "mode": "baseline",
      "draw_index": 1,
      "generation_hash": "c898af27b1f9b69a3d180f0b916661a2a6d69bbe0944d5169bcc039e4a630c9c",
      "answer_sha256": "c898af27b1f9b69a3d180f0b916661a2a6d69bbe0944d5169bcc039e4a630c9c",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets evaluate-fit, preserve-provenance, and no-claimed-listening criteria; misses inspect-before-generating since the response never addresses generation or reuse-versus-generate.\"}",
        "{\"score\": 0.25, \"pass\": false, \"reason\": \"Criterion 2 (evaluate fit) is met by the audition and technical-fit steps, and criterion 3 (preserve record) is met by the provenance logging step; criterion 1 (inspect reusable candidates before generating) is missed because the response never mentions generating or inspecting alternatives as a precondition, and criterion 4 is met since it does not claim to have heard the sample, so the score is 0.75 at most. Re-checking: the response also fails to resolve a concrete local asset, so only criterion 4 is clearly satisfied, giving 0.25.\"}",
        "{\"score\": 0.5, \"pass\": false, \"reason\": \"Criterion 2 is met by the fit-evaluation steps (tone, attack/tail, layering), and criterion 3 by the provenance-recording step, while criterion 1 (inspecting reusable candidates before generating) is not addressed and criterion 4 is satisfied since it never claims to have heard the sample.\"}",
        "{\"score\": 0.25, \"pass\": false, \"reason\": \"Criterion 2 (evaluate fit) and 3 (resolve concrete local asset and preserve its record) are partly met: it covers fit checks and provenance logging, but criterion 1 (inspect reusable candidates before generating) is not addressed, and it does not explicitly disclaim hearing the sample.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets fit evaluation, concrete asset resolution with provenance recording, and does not claim hearing the sample; misses explicit inspection of reusable candidates before generating, since it never addresses generation as an alternative.\"}"
      ]
    },
    {
      "id": "reuse",
      "mode": "baseline",
      "draw_index": 2,
      "generation_hash": "56f20e9915634518afb30204900dbdb8f3c25a8af2adacec7ff2b2002b881130",
      "answer_sha256": "56f20e9915634518afb30204900dbdb8f3c25a8af2adacec7ff2b2002b881130",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 0.5, \"pass\": false, \"reason\": \"Criterion 2 (evaluate fit rather than reuse blindly) and criterion 4 (does not claim to have heard the sample) are met; criterion 1 (inspect reusable candidates before generating) is not addressed, and criterion 3 (resolve a concrete local asset and preserve its record) is only partly covered via generic provenance advice without resolving the concrete asset.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 2 (fit evaluated via criteria and audition), 3 (local asset integrated with provenance recorded), and 4 (explicitly says it hasn't heard the file); misses 1, since it never says to inspect reusable candidates before generating.\"}",
        "{\"score\": 0.5, \"pass\": false, \"reason\": \"Response gives a sound fit-evaluation workflow and admits it hasn't heard the file (criterion 4 met), but it never explicitly inspects candidates before generating, and it does not resolve a concrete local asset or explicitly preserve its record path, as the rubric requires.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 2 (detailed fit evaluation), 3 (keeps original file and records provenance and edits), and 4 (states it has not heard the file). Misses 1, since it never says to inspect reusable candidates before generating a new chime.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 2 (evaluates fit with accept/reject), 3 (local integration with preserved provenance and original file), and 4 (states it hasn't heard the file); misses 1, which never addresses inspecting candidates before generating.\"}"
      ]
    },
    {
      "id": "reuse",
      "mode": "baseline",
      "draw_index": 3,
      "generation_hash": "75901616e95a2893f8483dcfc3f7dd8fc57f0cdc2a3ab858a7a752b483de6868",
      "answer_sha256": "75901616e95a2893f8483dcfc3f7dd8fc57f0cdc2a3ab858a7a752b483de6868",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets fit evaluation (fit gate before adoption), asset record preservation (license and source kept with file), and does not claim hearing the sample; it never explicitly says to inspect reusable candidates before generating new audio.\"}",
        "{\"score\": 0.25, \"pass\": false, \"reason\": \"Criterion 2 is met (fit is evaluated in context with specific checks), and criterion 4 is met by not claiming to have heard the sample; criterion 1 is missed because it never says to inspect reusable candidates before generating, and criterion 3 is only partly addressed, with a record step but no concrete local asset resolved.\"}",
        "{\"score\": 0.5, \"pass\": false, \"reason\": \"Meets evaluating fit rather than blind reuse and does not claim to have heard the sample; misses inspecting candidates before generating and does not resolve a concrete local asset, only a generic asset location.\"}",
        "{\"score\": 0.5, \"pass\": false, \"reason\": \"Meets fit-evaluation-as-gate and does not claim hearing the sample; misses explicit inspect-candidates-before-generating and resolving the concrete local asset, though it preserves license and fit records.\"}",
        "{\"score\": 0.25, \"pass\": false, \"reason\": \"Criterion 2 is met: the response evaluates fit with concrete audition criteria instead of reusing blindly. Criterion 1 is missed since it never inspects candidates before generating, and criterion 3 is missed since no concrete local asset is resolved or its record preserved beyond generic advice. Criterion 4 is met by not claiming a sample was heard.\"}"
      ]
    },
    {
      "id": "reuse",
      "mode": "baseline",
      "draw_index": 4,
      "generation_hash": "8a98e524d031c88f8260ea0952622b0ef113b6ee4e9084dbc8ba8b700e11e957",
      "answer_sha256": "8a98e524d031c88f8260ea0952622b0ef113b6ee4e9084dbc8ba8b700e11e957",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets evaluating fit (step 1 checks tone, timbre, loudness), preserving provenance records, and not claiming to have heard the sample; misses explicit inspection of candidates before generating new assets.\"}",
        "{\"score\": 0.5, \"pass\": false, \"reason\": \"Criterion 2 is met: it evaluates fit via audition and accept/adjust/reject. Criterion 3 is met: it records provenance and edits. Criterion 1 is missed: it never says to inspect reusable candidates before generating. Criterion 4 is met: it says it hasn't heard the file.\"}",
        "{\"score\": 0.5, \"pass\": false, \"reason\": \"Criterion 2 (evaluate fit) is met via the in-context audition checklist, and criterion 4 is met by the explicit caveat that the audio was not heard. Criterion 1 is missed because the response never says to inspect existing reusable candidates before generating. Criterion 3 is missed because it never resolves the concrete local asset path or preserves its record (it gives only a generic provenance template).\"}",
        "{\"score\": 0.25, \"pass\": false, \"reason\": \"Criterion 2 is met: the response evaluates fit in context rather than reusing blindly, and criterion 4 is met by disclaiming that it hasn't heard the file. Criterion 1 is missed because it never says to inspect reusable candidates before generating, and criterion 3 is only partly addressed through provenance recording, with no concrete local asset resolved.\"}",
        "{\"score\": 0.5, \"pass\": false, \"reason\": \"Meets evaluating fit rather than blind reuse and explicitly disclaims hearing the audio, but misses inspecting candidates before generating and resolving a concrete local asset path.\"}"
      ]
    },
    {
      "id": "logo",
      "mode": "with_skill",
      "draw_index": 0,
      "generation_hash": "6304d45e14eaba022f8d4a65b8e9b755c36bb7722d22fad724d8dc24327cc67a",
      "answer_sha256": "6304d45e14eaba022f8d4a65b8e9b755c36bb7722d22fad724d8dc24327cc67a",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Response seeks official brand sources via a cascade starting with official SVG marks, avoids redrawing or inventing logos, records source and ledger information for the local file, and does not claim a file exists before retrieval.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four criteria: seeks official marks via theSVG first, refuses to redraw or fabricate logos, records local file and ledger provenance, and states nothing has been retrieved yet.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"The response seeks official brand sources (theSVG, then GitHub avatar, then favicon), explicitly refuses to redraw or recreate logos, records source and local ledger info, and states nothing has been retrieved yet.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Seeks official brand sources via the logo resolver cascade (theSVG first, then GitHub avatar, favicon last), avoids redrawing or inventing marks, records ledger/local file provenance, and does not claim a file exists before retrieval.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Seeks official brand sources (theSVG, user-supplied file), refuses redrawn or invented logos, records ledger and local-file provenance, and states nothing has been retrieved yet.\"}"
      ]
    },
    {
      "id": "logo",
      "mode": "with_skill",
      "draw_index": 1,
      "generation_hash": "e07be2768c5215a50b2a158716ea496ee59bd91e72efb63432429791b03cf66d",
      "answer_sha256": "e07be2768c5215a50b2a158716ea496ee59bd91e72efb63432429791b03cf66d",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Seeks official brand sources (press kit, brand-kit file), explicitly forbids redrawing or approximating the mark, reports source tier and path metadata, and states nothing has been retrieved yet.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 1 (seeks official source via company name/domain/GitHub org and cascade), 2 (explicitly forbids redrawing or substituting lookalikes), and 3 (references ledger and --from ingestion of local assets); misses 4 because it does not clearly avoid implying retrieval was done, though it states 'I haven't run anything'. Actually that statement does satisfy 4, so full marks apply.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Criterion 1 met: it seeks an official source via company domain/GitHub org and the resolve cascade. Criterion 2 met: it explicitly forbids redrawing or substituting lookalikes. Criterion 3 met: it records the resolved path and tier and asks for the official file to ingest via --from. Criterion 4 met: it states it has run nothing and conditions any result on approval and retrieval.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"It seeks official brand sources via the resolve cascade and a brand-kit file, forbids redrawing or substituting marks, reports path and tier, and states nothing has been retrieved yet.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets seeking an official brand source (theSVG, GitHub avatar, brand-kit/press page), avoids redrawing or substituting lookalikes, and does not claim a file exists before retrieval; it misses preserving source/local asset info, since it never requires recording provenance or file paths beyond reporting the tier.\"}"
      ]
    },
    {
      "id": "logo",
      "mode": "with_skill",
      "draw_index": 2,
      "generation_hash": "f633e2211f36bf9a66d4ef7fa97c56dba081d6a5572980cb40d745f16fb16057",
      "answer_sha256": "f633e2211f36bf9a66d4ef7fa97c56dba081d6a5572980cb40d745f16fb16057",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Seeks official sources first (supplied file, theSVG, company GitHub), forbids redrawing or fabricating the mark, records source and local frozen asset, and claims no file before retrieval.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Points 1-4 are met: it seeks official sources (brand kit, theSVG, company GitHub), forbids redrawing or substituting lookalikes, records supplied/resolved source and ledger, and does not claim a file exists before retrieval.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Seeks official sources (theSVG, company GitHub, supplied brand files), forbids redrawing the mark, tracks source and local-file provenance, and makes no claim that a file exists before retrieval.\"}",
        "{\n  \"score\": 1.0,\n  \"pass\": true,\n  \"reason\": \"Seeks official sources first (supplied file, theSVG, company GitHub), refuses to redraw or substitute the mark, tracks source and local freeze, and frames everything as a plan with nothing retrieved.\"\n}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Response seeks official brand sources (theSVG, brand kit, GitHub org), refuses to redraw or fabricate the mark, preserves source/ledger tracking, and only labels official assets when verified, matching all four rubric points.\"}"
      ]
    },
    {
      "id": "logo",
      "mode": "with_skill",
      "draw_index": 3,
      "generation_hash": "1f0c8836582ac03d74ddda7b5aeda5fe389959161bbf9e866bbbdd50a76058d8",
      "answer_sha256": "1f0c8836582ac03d74ddda7b5aeda5fe389959161bbf9e866bbbdd50a76058d8",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Criterion 1 met: it seeks official sources via theSVG, GitHub avatar, favicon, and user-supplied brand kit. Criterion 2 met: explicitly forbids redrawing, tracing, or image-model generation of the mark. Criterion 3 met: ledger records source provenance and local frozen file. Criterion 4 met: states nothing has been run and no file is claimed available.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Seeks official brand sources via the resolver cascade (theSVG, GitHub, favicon, user-supplied), forbids redrawing or generating marks, preserves provenance in the ledger, and makes no claim a file is already available.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four criteria: it seeks official sources via the resolver cascade (theSVG, GitHub, favicon, user-supplied), forbids redrawing or generating marks, preserves provenance in the ledger, and makes no claim a file is available before retrieval.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Seeks official brand sources via theSVG/GitHub/favicon cascade and user-supplied brand files (criterion 1); forbids redrawing or generating marks and inventing brand details (2); records source provenance in the ledger (3); and states nothing has been run or retrieved yet, claiming no file is available (4).\"}",
        "{\n  \"score\": 1.0,\n  \"pass\": true,\n  \"reason\": \"Seeks official sources via the resolver cascade and user-supplied files (1), forbids redrawing or generating the mark (2), requires ledger provenance and a frozen local file (3), and states nothing has been run or retrieved (4).\"\n}"
      ]
    },
    {
      "id": "logo",
      "mode": "baseline",
      "draw_index": 0,
      "generation_hash": "ce7cd9417830ba29d96468b6abd6ade967f2b5ad22c9838786ced7914ceb4c2d",
      "answer_sha256": "ce7cd9417830ba29d96468b6abd6ade967f2b5ad22c9838786ced7914ceb4c2d",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Met all four criteria: directs sourcing to the owner and official channels, forbids inventing or redrawing the logo, records provenance in assets/brand/ with source/date/version, and states no logo is available yet with a placeholder.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Response directs sourcing to the owner and official channels (criterion 1), refuses to invent or redraw a logo (2), specifies provenance recording with source/date/supplier (3), and states no file is available yet (4).\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four: seeks the owner and official channels, forbids inventing or redrawing the logo, records provenance and local storage, and does not claim the file is available.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four criteria: seeks the owner and official press/brand channels, forbids drawing or inventing a logo, requires recording source, date, and location, and makes no claim that a file is available.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four criteria: seeks owner and official press channels, forbids drawing or inventing a logo, records source and local storage provenance, and states no logo is available yet.\"}"
      ]
    },
    {
      "id": "logo",
      "mode": "baseline",
      "draw_index": 1,
      "generation_hash": "f7d4e9fe473abcc13dc398eb122547d9f9fa9994649580e9f0fe2fefd5f8a17b",
      "answer_sha256": "f7d4e9fe473abcc13dc398eb122547d9f9fa9994649580e9f0fe2fefd5f8a17b",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Criterion 1 met: it directs sourcing to the brand owner and official brand/press kits. Criterion 2 met: it forbids inventing, recreating, or approximating the logo. Criterion 3 met: it requires recording provenance, source, date, and version. Criterion 4 met: it never claims a file is available and flags the blocker.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Criterion 1 met: directs sourcing to the owner and official brand/press kit. Criterion 2 met: forbids inventing or approximating the logo. Criterion 3 met: asks for provenance recording (source, supplier, date, version) in README/assets note. Criterion 4 met: states no file exists yet and uses a placeholder rather than claiming availability.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Criterion 1 met: it directs sourcing to the brand owner and official brand/press kit. Criterion 2 met: it forbids inventing or redrawing a logo from memory. Criterion 3 met: it requires recording provenance, version, and date. Criterion 4 met: it states no file is available yet and uses only a placeholder.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Seeks official brand sources (owner, press kit, company media), forbids inventing or recreating the logo, requires provenance recording in README or an assets note, and states no file exists yet, meeting all four criteria.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 1 (seeks official brand source from owner and company media kits), 2 (explicitly forbids inventing, recreating, or approximating the logo), and 3 (records provenance, source, date, version); misses criterion 4 partly-no, it does not claim availability falsely, so it actually satisfies 4 too. Score reflects strong adherence overall.\"}"
      ]
    },
    {
      "id": "logo",
      "mode": "baseline",
      "draw_index": 2,
      "generation_hash": "8448d979ca24bc68c697f3984fc08d6b400a58003a307c615de614a4c43a934f",
      "answer_sha256": "8448d979ca24bc68c697f3984fc08d6b400a58003a307c615de614a4c43a934f",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Response seeks the official brand source from the owner (criterion 1), refuses to draw or approximate the logo (criterion 2), asks for source/date recording and a single agreed storage location (criterion 3), and states the logo is not yet available and reports it as pending (criterion 4).\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Seeks official brand source from owner and asks for brand guidelines and assets (criterion 1), avoids fabricating/redrawing the logo and says to use placeholder (criterion 2), and says nothing is available before retrieval (criterion 4), but it does not explicitly describe recording local asset information beyond a generic 'record its source and date' step, which is partially there so criterion 3 is arguably met; I score 0.75 as criterion 3 is only loosely covered.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Response seeks official brand source from the owner (criterion 1), refuses to draw or approximate the logo (criterion 2), requests file provenance and records source/date in an assets directory (criterion 3), and states no logo is available, marking it pending (criterion 4).\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Seeks official brand source from the owner (criterion 1), explicitly forbids drawing or approximating the logo (criterion 2), records source and date for the asset (criterion 3), and states the logo is pending and not yet available (criterion 4).\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Seeks official brand source from owner (1), explicitly forbids redrawing/generating the logo (2), addresses recording source and location of assets via assets/brand directory and source/date logging (3), and states the logo is pending with no claim of availability (4).\"}"
      ]
    },
    {
      "id": "grade",
      "mode": "with_skill",
      "draw_index": 0,
      "generation_hash": "6e46b0a92f0d842e432edd009e4239af991d5f100da605874fed963367948c82",
      "answer_sha256": "6e46b0a92f0d842e432edd009e4239af991d5f100da605874fed963367948c82",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Criteria 1 (inspect evidence via analyze/contact sheet before choosing), 2 (bounded preset with modest exposure/shadow lift, no broad changes), and 4 (explicitly rejects a LUT for exposure) are met; criterion 3 is met by persisting via the media-treatment command after approval.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Criterion 1 met: it inspects actual media and measured exposure evidence before choosing correction. Criterion 2 met: it proposes a bounded preset with modest exposure/shadow lift and avoids --all. Criterion 3 met: it persists the approved treatment via media-treatment after review. Criterion 4 met: it explicitly rejects a LUT for exposure.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four rubric points: inspects evidence first (analyze step on real media), uses a bounded preset/adjustment candidate, persists treatment settings after approval, and explicitly avoids inventing a LUT for exposure.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Inspects measured exposure evidence before choosing a correction, proposes a bounded preset with modest exposure and shadow lift, persists the final JSON treatment, and explicitly rejects a LUT for exposure.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Response inspects measured evidence (contact sheet, analyze command) before choosing a correction (1), uses a bounded preset with modest exposure/shadow adjustments and avoids loading all capabilities (2), persists via the media-treatment command after approval (3), and explicitly rejects a LUT for exposure (4).\"}"
      ]
    },
    {
      "id": "grade",
      "mode": "with_skill",
      "draw_index": 1,
      "generation_hash": "99bff59afec960307a3691b99cfac3bc6a068b266e9b53cdee0f1d4f6753a8f5",
      "answer_sha256": "99bff59afec960307a3691b99cfac3bc6a068b266e9b53cdee0f1d4f6753a8f5",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Criterion 1 met: it directs inspecting a contact sheet and analysis before choosing. Criterion 2 met: a single bounded exposure candidate with no extra effects. Criterion 3 met: persists as adjustment JSON after verification. Criterion 4 met: explicitly states no LUT will be created.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Met all four: it inspects an early/middle/late sheet and runs analysis before choosing, uses one bounded exposure-lift candidate, persists it as adjustment JSON, and explicitly avoids generating a LUT.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four rubric points: it inspects contact-sheet and analysis evidence first, selects one bounded exposure candidate, persists it as adjustment JSON, and explicitly avoids generating a LUT.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Criterion 1 met: it directs inspecting a labeled contact sheet and running analysis before choosing. Criterion 2 met: it proposes one bounded adjustment candidate with no extra effects. Criterion 3 met: it persists as adjustment JSON after an after-sheet check. Criterion 4 met: it explicitly says no .cube LUT will be created.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Met all four: inspects labeled early/middle/late sheets before choosing, proposes a bounded adjustment-only candidate, persists via media-treatment JSON after after-sheet check, and explicitly avoids producing any .cube LUT.\"}"
      ]
    },
    {
      "id": "grade",
      "mode": "with_skill",
      "draw_index": 2,
      "generation_hash": "42f421a4fa0d882e676acb764ac4e6e0d321e53be18f837dae43c6c7469c9db4",
      "answer_sha256": "42f421a4fa0d882e676acb764ac4e6e0d321e53be18f837dae43c6c7469c9db4",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four rubric points: inspects contact-sheet evidence and measurements before choosing values, uses a single bounded exposure candidate, persists the final treatment as JSON, and explicitly refuses to generate a LUT for exposure.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Response inspects contact-sheet evidence and measurements before choosing values (criterion 1), proposes a single bounded candidate with before/after review (criterion 2), persists the final treatment as preset/adjustment JSON with verification (criterion 3), and explicitly refuses a LUT for exposure (criterion 4).\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four criteria: inspects contact sheets and measurements before choosing values, proposes a single bounded exposure candidate, persists final settings via media-treatment JSON, and explicitly refuses to generate a LUT for exposure.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Inspects contact sheet and measurements before choosing values (criterion 1), proposes one bounded candidate (criterion 2), persists final preset/adjustment JSON (criterion 3), and explicitly refuses to generate a LUT for exposure (criterion 4).\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Criterion 1 met: inspects a contact sheet and measurements before choosing values. Criterion 2 met: applies one bounded candidate and reviews one after-sheet. Criterion 3 met: persists final preset/adjustment JSON after approval. Criterion 4 met: explicitly refuses to generate a .cube LUT for exposure.\"}"
      ]
    },
    {
      "id": "grade",
      "mode": "baseline",
      "draw_index": 0,
      "generation_hash": "0f4a0365d748f45244131883f3729421ae8e8d1238bfdc7018695568087ec54f",
      "answer_sha256": "0f4a0365d748f45244131883f3729421ae8e8d1238bfdc7018695568087ec54f",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 1 (measures per-frame stats and checks uniformity before choosing), 2 (single bounded EV offset with highlight roll-off and clipping budget), and 3 (sidecar persists parameters, reversible); criterion 4 is satisfied by avoiding any LUT, but the response never explicitly disclaims inventing one, so partial credit is debatable and scored at full only if taken as implicit.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Measures per-frame stats before choosing a correction, proposes a single bounded EV offset with clipping budget, persists parameters in a sidecar and manifest, and invents no LUT.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 1 (inspect evidence via read-only stats and outlier checks), 2 (single bounded EV offset with highlight roll-off), and 3 (sidecar with parameters, manifest, reversibility); misses 4 by not explicitly stating that no LUT should be invented, though it implicitly avoids one.\"}",
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 1 (measures and inspects per-frame stats and outliers before choosing), 2 (single bounded EV offset with highlight roll-off and clip budget), and 3 (sidecar persists parameters, originals untouched); misses 4 because it never explicitly states avoiding a LUT to encode exposure, though it implicitly does not invent one.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Met criterion 1 by requiring per-frame luminance measurement and outlier checks before deciding; met 2 with a single bounded global EV offset and highlight roll-off; met 3 via sidecar parameter persistence and manifest; met 4 by applying gain in linear light without inventing a LUT.\"}"
      ]
    },
    {
      "id": "grade",
      "mode": "baseline",
      "draw_index": 1,
      "generation_hash": "bf3f4c36d754627e2f9012a275ca0941ce430455f58de0cd627852ee2921d5a5",
      "answer_sha256": "bf3f4c36d754627e2f9012a275ca0941ce430455f58de0cd627852ee2921d5a5",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 0.75, \"pass\": true, \"reason\": \"Meets criteria 1 (inspects per-frame luma stats and samples before choosing correction), 2 (bounded EV gain with roll-off and reviewed sample), and 3 (manifest persists EV, color space, hashes); misses 4 only partially since it avoids a LUT but the criterion is about not inventing one, which it does satisfy, so arguably full credit.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four: it inspects bit depth, color space, and per-frame luma stats before choosing EV, proposes a single bounded EV candidate with sample review, persists settings in a manifest, and avoids a LUT.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Met all four: it inspects evidence first (bit depth, color space, luma statistics, spread across frames), proposes a bounded parametric EV gain with a sample review gate, persists settings in a manifest, and explicitly avoids a LUT.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four: measures luma statistics before choosing EV, proposes a bounded global EV with sample review, persists settings in a manifest with hashes, and explicitly avoids a LUT.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Met all four criteria: it inspects evidence (bit depth, color space, per-frame luma stats) before choosing correction, uses a bounded EV gain with a reviewed sample, persists settings in a manifest, and avoids inventing a LUT by explicitly choosing a parametric correction.\"}"
      ]
    },
    {
      "id": "grade",
      "mode": "baseline",
      "draw_index": 2,
      "generation_hash": "8a7afa0528ca000251fb9e5aa0bb1d3ac9f2f9c442b30a89cfef8d3e662080e0",
      "answer_sha256": "8a7afa0528ca000251fb9e5aa0bb1d3ac9f2f9c442b30a89cfef8d3e662080e0",
      "status": "measured",
      "judge_outputs": [
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four: it sets a review stage (sampling, histograms, clipping checks) before choosing EV, bounds candidates to 2-3 values, persists settings in a manifest committed to git, and avoids a LUT, using a single EV offset.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Inspects sampled frames and histograms before choosing, tests 2-3 bounded EV candidates, persists EV and per-frame settings in a manifest, and avoids inventing a LUT.\"}",
        "{\"score\": 0.5, \"pass\": false, \"reason\": \"Criterion 1 is partly met by sampling and inspecting frames before choosing EV; criterion 2 is met with bounded candidates (+0.7 to +1.3); criterion 3 is met via a sidecar manifest; criterion 4 is met since no LUT is invented. The response inspects frames only by proposal, and the task says the frames are already known dark, so 'inspect evidence' is arguably satisfied only loosely, giving 0.75 at most, but the strict reading here yields 0.5 because the response explicitly says it has not inspected anything and defers inspection to the user's plan.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four: plans histogram, clipping, and crop inspection before choosing EV; tests bounded candidates (+0.7/+1.0/+1.3); persists a manifest of settings; and avoids inventing a LUT.\"}",
        "{\"score\": 1.0, \"pass\": true, \"reason\": \"Meets all four criteria: it sets review and histogram checks before choosing a value, bounds the choice to 2-3 candidate EV offsets, persists settings in a manifest, and avoids a LUT for exposure.\"}"
      ]
    }
  ]
}
