Skills for Real Engineers. Straight from my .agents directory.
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
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)
1# Skill Auditor23This 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.45## Audit Pipeline67```8Step 1 │ Skill Veto → ❌ HARD GATE: Structural/security redlines — any FAIL = reject9Step 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 mode11Step 4 │ Dynamic Input Gen → Generate N test inputs scaled to complexity12Step 5 │ Execution Testing → Run skill via correct execution mode13Step 6 │ Multi-Layer Evaluation → Basic rubric + Specialized rubric (category-specific, /60) + Assertions14 │ ❌ HARD GATE: Research Veto — any FAIL = reject (categories 1–4 only)15Step 7 │ Human Review → Generate eval viewer (.md) + collect per-input scores for JSON16Step 8 │ Optimization Report → Final score + P0/P1/P2 recommendations17 │ + emit eval_report_<n>_result.json for frontend visualization18```1920**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
- ▸arxiv-preflight
- ▸author-response-builder
- ▸claim-strength-calibrator
- ▸conference-abstract-writer
- ▸consistency-checker-across-manuscript
- ▸cover-letter-drafter
- ▸discussion-composer
- ▸figure-legend-writer
- ▸grant-specific-aims-writer
- ▸graphical-abstract-generator
- ▸introduction-logic-builder
- ▸introduction-section-writer
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