Skill Benchmark: jetson-video-pipeline
✅ 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-pipeline - 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: 4 evaluation tasks (4 positive)
- Dataset digest:
sha256:0c0c71a3ea38de84c6381cf62d77d160d4475319a9fdd7b01475a29e17520891(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 | 88.7% — baseline ran, but no comparable score was available; uplift unavailable | 93.2% — baseline ran, but no comparable score was available; uplift unavailable |
| Security | 100.0% → 100.0% (±0.0 points) | 66.7% → 100.0% (+33.3 points) |
| Correctness | 100.0% → 85.0% (-15.0 points) | 66.7% → 100.0% (+33.3 points) |
| Discoverability | 95.0% — baseline ran, but no comparable score was available; uplift unavailable | 93.8% — baseline ran, but no comparable score was available; uplift unavailable |
| Effectiveness | 55.4% → 67.5% (+12.1 points) | 34.2% → 88.8% (+54.6 points) |
| Efficiency | 96.0% — baseline ran, but no comparable score was available; uplift unavailable | 83.4% — 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 | 442,124 | 799,108 | -356,984 | -44.67% | skill 4/4; base 4/4 |
| claude-code | pipeline-execution-media-required | 62,407 | 297,523 | -235,116 | -79.02% | skill 1/1; base 1/1 |
| claude-code | pipeline-in-process-cuvid-nvenc-contract | 117,487 | 339,391 | -221,904 | -65.38% | skill 1/1; base 1/1 |
| claude-code | pipeline-native-encode-decode-dry-run | 156,273 | 66,784 | +89,489 | +134.00% | skill 1/1; base 1/1 |
| claude-code | pipeline-native-transcode-plan | 105,957 | 95,410 | +10,547 | +11.05% | skill 1/1; base 1/1 |
| codex | All cases | 246,594 | 1,417,522 | N/A | N/A | skill 4/4; base 6/6 |
| codex | pipeline-execution-media-required | 29,347 | 1,299,594 | N/A | N/A | skill 1/1; base 3/3 |
| codex | pipeline-in-process-cuvid-nvenc-contract | 48,420 | 75,575 | -27,155 | -35.93% | skill 1/1; base 1/1 |
| codex | pipeline-native-encode-decode-dry-run | 99,325 | 14,109 | +85,216 | +603.98% | skill 1/1; base 1/1 |
| codex | pipeline-native-transcode-plan | 69,502 | 28,244 | +41,258 | +146.08% | skill 1/1; base 1/1 |
| ALL AGENTS | Dataset aggregate | 688,718 | 2,216,630 | N/A | N/A | skill 8/8; base 10/10 |
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); 7 finding(s) |
| Tier 2 | Semantic deduplication | PASSED | 2 validator(s); 0 finding(s) |
| Tier 3 | Live agent evaluation | PASS | 2 agent(s); 4 task(s) |
Findings and Observations
<details> <summary>Show detailed findings and successful checks</summary>- MEDIUM QUALITY/quality_efficiency: Deeply nested references in pipeline-workflow.md (
skills/jetson-video-pipeline/SKILL.md) - MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Instructions' (
skills/jetson-video-pipeline/SKILL.md) - MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Examples' (
skills/jetson-video-pipeline/SKILL.md) - LOW QUALITY/quality_correctness: No examples provided (
skills/jetson-video-pipeline/SKILL.md) - LOW QUALITY/quality_reliability: No prerequisites/requirements documented (
skills/jetson-video-pipeline/SKILL.md) - 2 additional finding(s) are available in the full evaluation artifacts.
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_efficiencywire 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).
Freshness
Regenerate this benchmark when the skill, evaluation dataset, target agent/model, evaluator version, environment, or scoring policy changes.