SuperAPI AI Directory

evidence-auditor

Writing & research

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Updated 10-16 04:43

About this skill

Evidence Auditor

Triggers & routing

  • Trigger: evidence audit, missing evidence, unsupported claims, review evidence audit, evidence gaps.
  • Use when: paper-review In the process, it is necessary to check the evidence chain of each claim, missing baselines, and weak points in evaluation one by one.
  • Skip if: missing claims input (for example, there is not yet output/CLAIMS.md)。
  • Network: none.
  • Guardrail: only write "gaps/risks/next-step verification"; do not write arguments on behalf of the authors or introduce new claims.

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