Tooluck logoTooluck
SKILL.md

skill-auditor

Agent skill fromaipoch/medical-research-skills

A comprehensive auditor for any agent skill — including Manus, OpenClaw/ClawHub, Claude, LobeHub, or custom SKILL.md-based skills. Use this skill whenever a user wants to evaluate, audit, review, score, or quality-check an agent skill before publishing, updating, or deploying. Covers two hard veto gates (structural redlines + research integrity redlines), static quality scoring across 25 criteria (ISO 25010 + OpenSSF + Agent), dynamic test input generation, multi-mode execution testing, multi-layer output evaluation with five specialized category rubrics (Evidence Insight / Protocol Design / Data Analysis / Academic Writing / Other), a Research Veto that applies to all four research categories, human eval viewer generation, actionable P0/P1/P2 optimization recommendations, and automatic skill improvement that outputs a polished, production-ready SKILL.md. Also use whenever a user says "audit my skill", "evaluate my skill", "improve my skill", or wants a corrected version after evaluati

How to install skill-auditor

install skill-auditor
# install the medical-research-skills pack with the skills CLI
npx skills add aipoch/medical-research-skills

# or add only this skill to Claude Code: copy the folder

skill-auditor/

# into

~/.claude/skills/skill-auditor/ (all projects)

.claude/skills/skill-auditor/ (one project)

skill-auditor/SKILL.md

MITFull file
1# Skill Auditor
2
3This skill provides a standardized, end-to-end process for auditing any agent skill — from structural integrity to live functional performance. It combines two independent veto gates, static analysis across 25 criteria, dynamic execution, five-category specialized scoring, and human review into a single coherent workflow.
4
5## Audit Pipeline
6
7```
8Step 1 │ Skill Veto → ❌ HARD GATE: Structural/security redlines — any FAIL = reject
9Step 2 │ Basic Evaluation → Static quality scoring (25 criteria, 100 pts, ISO 25010 + OpenSSF + Agent)
10Step 3 │ Classification → Route to one of 5 categories + detect execution mode
11Step 4 │ Dynamic Input Gen → Generate N test inputs scaled to complexity
12Step 5 │ Execution Testing → Run skill via correct execution mode
13Step 6 │ Multi-Layer Evaluation → Basic rubric + Specialized rubric (category-specific, /60) + Assertions
14 │ ❌ HARD GATE: Research Veto — any FAIL = reject (categories 1–4 only)
15Step 7 │ Human Review → Generate eval viewer (.md) + collect per-input scores for JSON
16Step 8 │ Optimization Report → Final score + P0/P1/P2 recommendations
17 │ + emit eval_report_<n>_result.json for frontend visualization
18```
19
20**Two hard rejection gates run at Steps 1 and 6. Both are mandatory and cannot be skipped.**
21…

Excerpt shown under the repository's MIT license.

More skills in medical-research-skills

Keep exploring

Similar skill repositories

Newsletter

Join the Community

Subscribe to our newsletter for the latest news and updates