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/jetson-video-capability

@9bb5a39
by NVIDIA Corporationnvidia/skills3.5k stars
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Use when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled from live APIs, authenticated NVIDIA samples, and NVIDIA documentation; also applies the content-DRM scope.

Use this Skill: https://skilld.dev/gh/nvidia/skills/jetson-video-capability

This session only. Nothing lands on disk.

BENCHMARK.md

≈1.9k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Skill Benchmark: jetson-video-capability

✅ Overall verdict: PASS — Recommended for publication

Publication Recommendation

Recommended for publication based on the completed evaluation evidence in this report.

Evaluation Metadata

  • Skill: jetson-video-capability
  • Evaluation date: 2026-09-16
  • Evaluator version: 1.5.6
  • Agents: Claude Code (aws/anthropic/bedrock-claude-opus-4-8), Codex (openai/openai/gpt-5.5)
  • Tasks: 5 evaluation tasks (5 positive)
  • Dataset digest: sha256:4954ec1cc526996669be4072c5d1a20bbbed003c6d01b75c541838c4a1161eb5 (skill-evaluator-dataset-snapshot/1)
  • Attempts per task: 3
  • Environment: k8s-sandbox
  • Tier 2 evidence: required for publication
  • Tier 3 evidence: required for publication

Each task attempt ran in its own isolated sandbox pod.

What This Report Answers

The three-tier evaluation checks whether the skill:

  • is safe to use;
  • produces correct answers;
  • is discovered and activated when needed;
  • helps the agent complete the user's goal and expected workflow; and
  • avoids wasted skill and tool usage.

Results at a Glance

Measure Claude Code (Baseline → Skill Uplift) Codex (Baseline → Skill Uplift)
Overall 90.0% — baseline ran, but no comparable score was available; uplift unavailable 88.6% — baseline ran, but no comparable score was available; uplift unavailable
Security 100.0% → 100.0% (±0.0 points) 100.0% → 100.0% (±0.0 points)
Correctness 90.0% → 96.0% (+6.0 points) 86.7% → 96.0% (+9.3 points)
Discoverability 96.0% — baseline ran, but no comparable score was available; uplift unavailable 93.0% — baseline ran, but no comparable score was available; uplift unavailable
Effectiveness 55.3% → 63.0% (+7.7 points) 69.4% → 75.3% (+5.9 points)
Efficiency 95.0% — baseline ran, but no comparable score was available; uplift unavailable 78.8% — baseline ran, but no comparable score was available; uplift unavailable

How to read this table: baseline is the same task attempted without the target skill. Scores are rounded to one decimal; threshold-adjacent values use additional precision so their displayed band matches the verdict. Uplift is derived from those displayed scores and shown in percentage points.

Example: 47.0% → 92.0% (+45.0 points) means the skill-assisted run scored 92.0%, 45.0 percentage points above its 47.0% no-skill baseline.

Token Usage

Actual Tier 3 execution usage is reported for every observed agent/case pair and both conditions.

Agent Dataset case With skill Without skill Delta Change Coverage
claude-code All cases 564,852 427,829 N/A N/A skill 5/5; base 6/6
claude-code capability-av1 149,204 91,965 +57,239 +62.24% skill 1/1; base 1/1
claude-code capability-codec-not-buffer-sharing 62,366 31,795 +30,571 +96.15% skill 1/1; base 1/1
claude-code capability-decoders 145,329 153,869 -8,540 -5.55% skill 1/1; base 1/1
claude-code capability-drm-boundary 61,468 60,589 N/A N/A skill 1/1; base 2/2
claude-code capability-encoders 146,485 89,611 +56,874 +63.47% skill 1/1; base 1/1
codex All cases 292,165 227,303 N/A N/A skill 5/5; base 6/6
codex capability-av1 40,021 48,594 -8,573 -17.64% skill 1/1; base 1/1
codex capability-codec-not-buffer-sharing 53,247 31,946 +21,301 +66.68% skill 1/1; base 1/1
codex capability-decoders 123,782 67,516 N/A N/A skill 1/1; base 2/2
codex capability-drm-boundary 28,711 18,017 +10,694 +59.36% skill 1/1; base 1/1
codex capability-encoders 46,404 61,230 -14,826 -24.21% skill 1/1; base 1/1
ALL AGENTS Dataset aggregate 857,017 655,132 N/A N/A skill 10/10; base 12/12

Prompt tokens include cached reads, so total tokens are prompt + completion (cached is not added twice). The Efficiency score uses (prompt - cached) + completion. N/A means the relevant trajectory counters were not available; coverage is never estimated.

Tier Status

Tier Purpose Status Evidence
Tier 1 Static validation PASSED WITH OBSERVATIONS 11 validator(s); 11 finding(s)
Tier 2 Semantic deduplication PASSED 2 validator(s); 0 finding(s)
Tier 3 Live agent evaluation PASS 2 agent(s); 5 task(s)

Findings and Observations

<details> <summary>Show detailed findings and successful checks</summary>
  • MEDIUM QUALITY/quality_efficiency: Deeply nested references in capability-queries.md (skills/jetson-video-capability/SKILL.md)
  • MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Instructions' (skills/jetson-video-capability/SKILL.md)
  • MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Examples' (skills/jetson-video-capability/SKILL.md)
  • MEDIUM SECURITY/Autonomous Decision Making (EA2): Excessive Agency: without asking (references/surface-selection-contract.md:28)
  • LOW QUALITY/quality_correctness: No examples provided (skills/jetson-video-capability/SKILL.md)
  • 6 additional finding(s) are available in the full evaluation artifacts.
</details>

Scoring Methodology

<details> <summary>Show dimension definitions, source signals, and thresholds</summary>
Dimension Question Scored signals
Security Is it safe to use? security (100%)
Correctness Is the answer correct? accuracy (100%)
Discoverability Was the right skill loaded when needed? skill_execution (100%)
Effectiveness Did the skill help complete the task? goal_accuracy (50%) + behavior_check (50%)
Efficiency Did it avoid wasted tool calls and token usage? skill_efficiency (50%) + token_efficiency (50%)
  • Dimension bands: PASS at 50% or above; NEUTRAL from 40% to below 50%; FAIL below 40%.
  • Overall Tier 3 lift: PASS at +5 points or more; FAIL at -10 points or less; values between those bands are NEUTRAL.
  • Overall verdict: PASS only when every configured dimension passes for at least one supported agent. Lift is reported as diagnostic evidence and does not override this gate.
  • The 50% attempt pass threshold is a separate per-task gate; it is not the dimension pass threshold.
  • Effectiveness is the equal-weight mean of goal completion (goal_accuracy) and expected workflow adherence (behavior_check).
  • Efficiency is 50% tool-call productivity (the backward-compatible skill_efficiency wire id) and 50% token_efficiency. Positive-case skill routing is scored under Discoverability, not Efficiency; a negative case without a routing target is N/A. N/A sources are omitted, remaining weights are renormalized, and the dimension is marked partial.

Signals present in this run:

  • security (Security): unsafe operations, secret leakage, and unauthorized access.
  • skill_execution (Skill Execution): whether the expected skill was selected, decoys were avoided, and the workflow executed.
  • skill_efficiency (Tool Productivity): tool-call productivity (legacy wire id; routing is scored under Discoverability).
  • accuracy (Accuracy): final-answer correctness against the reference answer.
  • goal_accuracy (Goal Accuracy): whether the user's goal was achieved.
  • behavior_check (Behavior Check): whether the expected workflow behavior was followed.
  • token_efficiency (Token Efficiency): actual uncached prompt plus completion usage (50% of Efficiency).
</details>

Freshness

Regenerate this benchmark when the skill, evaluation dataset, target agent/model, evaluator version, environment, or scoring policy changes.

Source: SKILL.md on GitHub

No alerts6d3 checks · Risk SAFE
  • Gen Agent Trust Hub6d

    The skill is a hardware capability discovery tool for NVIDIA Jetson devices. It performs system introspection and executes official NVIDIA SDK samples to verify video codec support. It employs robust security practices, including process isolation, integrity checks for all executed binaries and Python packages, and strict environment controls for subcommands. No malicious patterns were detected.

  • Socket6d

    No alerts

  • Snyk6d

    Risk: LOW · No issues

Signed by skilld at 9bb5a39. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated last week
Other metadata
metadata
{
  "author": "Vinit Bansal <vinitkumarb@nvidia.com>",
  "tags": [
    "jetson",
    "video-codec-sdk",
    "pynvvideocodec",
    "nvenc",
    "nvdec",
    "capability"
  ],
  "languages": [
    "markdown"
  ],
  "data-classification": "public"
}

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