amc-run-video-calibration: worth installing? Reported results

Reported results for amc-run-video-calibration (NVIDIA/skills) from NVIDIA, one row per receipt, in plain words.

Skill skills/amc-run-video-calibration in NVIDIA/skills.

One row per receipt. No figure on this page combines two rows.

Reported by: Reported by NVIDIA in its benchmark card
Model: Claude Opus 4.8 (aws/anthropic/bedrock-claude-opus-4-8, as the source names it)
Harness: claude-code, version not stated
Date: 2026-08-08
Tasks and runs: 6 tasks, as printed
Result: NVIDIA reported +33 points overall (1 attempt per task). Overall: 49% → 82% (+33 points) Security: 92% → 92% (±0 points) Correctness: 17% → 83% (+67 points) Discoverability: 53% → 93% (+40 points) Effectiveness: 30% → 50% (+20 points) Efficiency: 54% → 91% (+37 points)
Tokens: token use not recorded
Freshness: Reported on Opus 4.8. Registered opus models released after this run, as of the build date: Opus 5.5.
Skill commit: 14a98ae278cec7e867695189d0f4003c08e4f765
Receipt: amc-run-video-calibration-aws-anthropic-bedrock-claude-opus-4-8-imported-nvidia-cards-claude-code-2026-08-08-d0507a7f1cf5.json

Reported by: Reported by NVIDIA in its benchmark card
Model: GPT-5.5 (openai/openai/gpt-5.5, as the source names it)
Harness: codex, version not stated
Date: 2026-08-08
Tasks and runs: 6 tasks, as printed
Result: NVIDIA reported +48 points overall (1 attempt per task). Overall: 35% → 83% (+48 points) Security: 42% → 100% (+58 points) Correctness: 13% → 77% (+63 points) Discoverability: 47% → 89% (+42 points) Effectiveness: 27% → 49% (+21 points) Efficiency: 47% → 100% (+53 points)
Tokens: token use not recorded
Freshness: Reported on GPT-5.5. Freshness unknown: the registry has no release date for it.
Skill commit: 14a98ae278cec7e867695189d0f4003c08e4f765
Receipt: amc-run-video-calibration-openai-openai-gpt-5-5-imported-nvidia-cards-codex-2026-08-08-d0507a7f1cf5.json

Built on 2026-10-15 from committed receipts.