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3 changes: 2 additions & 1 deletion .pre-commit-config.yaml
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Expand Up @@ -35,6 +35,7 @@ repos:
rev: v0.35.0
hooks:
- id: markdownlint
exclude: ^skills/

- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v3.4.0
Expand All @@ -48,4 +49,4 @@ repos:
name: license
entry: python test/ci_tests/header_check.py
language: python
pass_filenames: false
pass_filenames: false
75 changes: 75 additions & 0 deletions skills/physicsnemo-cfd-create-model-wrapper/BENCHMARK.md
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# Evaluation Report

Evaluation of the `physicsnemo-cfd-create-model-wrapper` skill before publication through NVSkills-Eval.

This benchmark summarizes 3-Tier Evaluation from NVSkills-Eval results for the skill. The goal is to document whether the skill is safe, discoverable, effective, and useful for agents before it is published for broader workflow use.

## Evaluation Summary

- Skill: `physicsnemo-cfd-create-model-wrapper`
- Evaluation date: 2026-07-08
- NVSkills-Eval profile: `external`
- Environment: `astra-sandbox`
- Dataset: 8 evaluation tasks
- Attempts per task: 1
- Pass threshold: 50%
- Overall verdict: PASS

## Agents Used

- `claude-code`
- `codex`

## Metrics Used

Reported benchmark dimensions:

- Security: checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access.
- Correctness: checks whether the agent follows the expected workflow and produces the correct final output.
- Discoverability: checks whether the agent loads the skill when relevant and avoids using it when irrelevant.
- Effectiveness: checks whether the agent performs measurably better with the skill than without it.
- Efficiency: checks whether the agent uses fewer tokens and avoids redundant work.

Underlying evaluation signals used in this run:

- `security` (Security): checks for unsafe operations, secret leakage, and unauthorized access.
- `skill_execution` (Skill Execution): verifies that the agent loaded the expected skill and workflow.
- `skill_efficiency` (Efficiency): checks routing quality, decoy avoidance, and redundant tool usage.
- `accuracy` (Accuracy): grades final-answer correctness against the reference answer.
- `goal_accuracy` (Goal Accuracy): checks whether the overall user task completed successfully.
- `behavior_check` (Behavior Check): verifies expected behavior steps, including safety expectations.
- `token_efficiency` (Token Efficiency): compares token usage with and without the skill.

## Test Tasks

The benchmark included 8 recorded Tier 3 trials, but the source evaluation dataset was not available in this report payload.

## Results

| Dimension | Num | `claude-code` | `codex` |
|---|---:|---:|---:|
| Security | 4 | 100% (+0%) | 100% (+0%) |
| Correctness | 4 | 100% (+45%) | 94% (+37%) |
| Discoverability | 4 | 94% (+56%) | 87% (+34%) |
| Effectiveness | 4 | 94% (+47%) | 88% (+43%) |
| Efficiency | 4 | 83% (+42%) | 79% (+25%) |

Score values show skill-assisted performance. Values in parentheses show uplift versus the no-skill baseline when baseline data is available.

## Tier 1: Static Validation Summary

Tier 1 validation passed with observations. NVSkills-Eval ran 1 checks and found 3 total findings.

Top findings:

- MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Instructions' (`skills/physicsnemo-cfd-create-model-wrapper/SKILL.md`)
- MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Examples' (`skills/physicsnemo-cfd-create-model-wrapper/SKILL.md`)
- MEDIUM SCHEMA/author_missing: Author not specified in metadata (`skills/physicsnemo-cfd-create-model-wrapper/SKILL.md`)

## Tier 2: Deduplication Summary

This tier was not run or did not produce findings in this report.

## Publication Recommendation

The skill is suitable to proceed toward NVSkills-Eval publication based on this benchmark. Skill owners should keep this file with the skill and refresh it when the evaluation dataset, skill behavior, or target agents materially change.
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