Audit OpenEvidence MCP citations with parallel PubMed verification and structured accuracy scoring
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 agentThis skill orchestrates a rigorous citation audit of OpenEvidence responses:
- Queries OpenEvidence on any biomedical topic (with BibTeX + Crossref validation)
- Parses citations and maps each inline reference to its supporting claim
- 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)
- Produces a structured audit report with PASS/CAUTION/FAIL grading
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
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 |
This skill follows the 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.
MIT