# audit-oe [![Build & Release Skill](https://github.com/htlin222/audit-oe-skill/actions/workflows/release.yml/badge.svg)](https://github.com/htlin222/audit-oe-skill/actions/workflows/release.yml) [![GitHub Release](https://img.shields.io/github/v/release/htlin222/audit-oe-skill?include_prereleases&label=skill%20version)](https://github.com/htlin222/audit-oe-skill/releases/latest) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![Skills Protocol](https://img.shields.io/badge/protocol-vercel--labs%2Fskills-blue)](https://github.com/vercel-labs/skills) > Audit OpenEvidence MCP citations with parallel PubMed verification and structured accuracy scoring ## Install ```bash npx skills add htlin222/audit-oe-skill npx skills add -g htlin222/audit-oe-skill # global npx skills add htlin222/audit-oe-skill --agent claude-code # specific agent ``` ## What it does This skill orchestrates a rigorous citation audit of OpenEvidence responses: 1. **Queries OpenEvidence** on any biomedical topic (with BibTeX + Crossref validation) 2. **Parses citations** and maps each inline reference to its supporting claim 3. **Launches parallel verification agents** (one per citation) that independently: - Verify paper existence via PubMed/bioRxiv - Fetch abstracts and full text where available - Score claim accuracy on a 1-5 scale - Assess evidence strength (study type, sample size, peer review status) 4. **Produces a structured audit report** with PASS/CAUTION/FAIL grading ## Skill structure ``` audit-oe/ SKILL.md # Skill definition README.md # This file LICENSE # MIT example/ glp1-cv/ # Example: GLP-1 agonists & CV outcomes original.md # Raw OE response assets/ citations.bib # BibTeX from OE (14 citations) report.md # Completed audit report (score: 3.69/5.0) .github/ workflows/ release.yml # CI: package and release .skill ``` ## Example output From the included example audit of "GLP-1 receptor agonists in reducing cardiovascular events": | Metric | Result | |--------|--------| | Citations verified | 13/13 (100% exist) | | Mean accuracy | 3.69/5.0 | | Grade | **CAUTION** | | Critical issue | Stroke claim misrepresented from Galli 2025 | ## Protocol This skill follows the [vercel-labs/skills](https://github.com/vercel-labs/skills) protocol. Each push to `main` triggers a GitHub Action that packages the skill as a `.skill` file and creates a release tagged with the commit SHA. ## License MIT