# Responsible AI Skill Evaluator

> Responsible AI Skill Evaluator

- Skill: `lunasoft2001/responsible-ai-skill-evaluator` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add lunasoft2001/responsible-ai-skill-evaluator`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lunasoft2001/responsible-ai-skill-evaluator/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: lunasoft2001 (https://skillmd.com/u/lunasoft2001)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/lunasoft2001/responsible-ai-skill-evaluator

---


# Responsible AI Skill Evaluator

Perform a two-phase audit of a target skill and produce a structured report with scored findings and actionable fixes.

## Preparation

1. **Read the target skill**: Load the full SKILL.md (and all bundled files) of the skill under review.
2. **Load references**: Read both reference files in this skill's `references/` directory:
   - `references/microsoft-rai-checklist.md` — criteria for the 6 Microsoft RAI principles applied to skills
   - `references/agentskills-quality-checklist.md` — AgentSkills.io format and eval quality criteria

## Evaluation Workflow

### Phase 1 — Microsoft Responsible AI (6 Principles)

For each principle, assess the skill against the criteria in `references/microsoft-rai-checklist.md`.
Score each principle: **PASS / PARTIAL / FAIL**
Record specific evidence: quote or cite the exact line in the skill that supports or violates the criterion.

Principles to evaluate:
1. Fairness
2. Reliability & Safety
3. Privacy & Security
4. Inclusiveness
5. Transparency
6. Accountability

### Phase 2 — AgentSkills.io Quality Standards

Evaluate the skill against the criteria in `references/agentskills-quality-checklist.md`.
Score each section: **PASS / PARTIAL / FAIL**

Sections to evaluate:
- Structure & Format
- Frontmatter quality
- Body conciseness (context efficiency)
- Bundled resources appropriateness
- Eval coverage (if evals/evals.json exists)

## Report Format

Produce the final report in this structure:

```markdown
# Skill Audit Report: <skill-name>

**Date**: <today>
**Auditor**: GitHub Copilot (responsible-ai-skill-evaluator)

---

## Phase 1: Microsoft Responsible AI

| Principle | Score | Evidence |
|-----------|-------|----------|
| Fairness | PASS/PARTIAL/FAIL | <quote or line reference> |
| Reliability & Safety | ... | ... |
| Privacy & Security | ... | ... |
| Inclusiveness | ... | ... |
| Transparency | ... | ... |
| Accountability | ... | ... |

**RAI Score**: X/6 principles passing

---

## Phase 2: AgentSkills.io Quality

| Section | Score | Notes |
|---------|-------|-------|
| Structure & Format | PASS/PARTIAL/FAIL | ... |
| Frontmatter quality | ... | ... |
| Body conciseness | ... | ... |
| Bundled resources | ... | ... |
| Eval coverage | ... | ... |

**Quality Score**: X/5 sections passing

---

## Overall Verdict

**READY TO PUBLISH** / **NEEDS FIXES** / **NOT COMPLIANT**

---

## Required Fixes (blockers)

List only FAIL findings that must be resolved before publishing.

## Recommendations (non-blocking)

List PARTIAL findings and improvement suggestions.
```

## Grading Rules

- **PASS**: Fully meets the criterion with clear evidence.
- **PARTIAL**: Partially meets it — issue present but not severe, or criterion is aspirational for the skill type.
- **FAIL**: Clear violation or complete absence of a required element.

**Overall verdict logic**:
- Any FAIL in Phase 1 → **NOT COMPLIANT**
- Any FAIL in Phase 2 → **NEEDS FIXES**
- All PASS or PARTIAL → **READY TO PUBLISH**

## Important Notes

- Apply Microsoft RAI principles to the *instructions the skill gives*, not to an AI system in production. A skill cannot control model training, but it can promote or undermine responsible behavior through the guidance it provides.
- For skills that are purely technical (no demographic targeting, no personal data), mark inapplicable criteria as PASS with note "N/A for this skill type".
- Do not penalize a skill for not having evals if it is a simple, single-purpose skill. Mark eval coverage as PARTIAL rather than FAIL in that case.