mcpbeat

Evidence Auditor

willoscar/evidence-auditor

| Use when `paper-review` needs a claim-by-claim evidence gap report grounded in an extracted claim ledger.

1k tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
496
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill evidence-auditor

What comes with it

3 858 bytes besides the instruction
scripts/run.py

The instruction itself

7 sections, as written by the author

Evidence Auditor

Transforms a claim ledger into a gap report for paper-review.

Input

  • output/CLAIMS.md

Output

  • output/MISSING_EVIDENCE.md
  • output/EVIDENCE_AUDIT.jsonl (review-evidence-gap.v1)

Contract

Each gap block should include:

  • claim reference
  • what evidence is already present
  • what is missing or weak
  • minimal fix
  • severity

Each JSONL record must retain claim_id and a stable gap_id so the final

review can cite the exact failure rather than paraphrasing an unlocated concern.

Script boundary

scripts/run.py should:

  • iterate existing claims only
  • classify the likely evidence risk
  • write actionable, bounded gap items

It should not invent new claims or rewrite the manuscript.

Acceptance

  • every claim has a corresponding evidence note or gap item
  • minimal fixes are actionable and concrete
  • structured records join back to every claim_id

Non-goals

  • manuscript rewriting
  • novelty assessment
  • recommendation writing

How to use it

Copy the folder

Take willoscar/evidence-auditor from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.