evidence-auditor

Solid

Use when `paper-review` needs a claim-by-claim evidence gap report grounded in an extracted claim ledger. **Trigger**: evidence audit, missing evidence, unsupported claims, 审稿证据审计, 证据缺口. **Use when**: `paper-review` 流程中,需要逐条检查 claim 的证据链、缺 baseline、评测薄弱点。 **Skip if**: 缺少 claims 输入(例如还没有 `output/CLAIMS.md`)。 **Network**: none. **Guardrail**: 只写“缺口/风险/下一步验证”,不要替作者补写论述或引入新主张。

Code & Development 498 stars 39 forks Updated today

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70
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50
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50
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Description 5%
100

Skill Content

# 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

Details

Author
WILLOSCAR
Repository
WILLOSCAR/research-units-pipeline-skills
Created
7 months ago
Last Updated
today
Language
Python
License
None

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Code & Development Solid

evidence-review

Build evidence-controlled literature reviews and gap maps with source-status labels, claim registers, citation-role plans, traceability tables, and overclaim audits. Use when drafting or auditing review papers, thesis literature reviews, scoping reviews, or evidence syntheses where adjacent-domain evidence, candidate records, unpublished work, and unsupported claims must be kept separate.

28 Updated 4 days ago
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Data & Documents Solid

claims-extractor

Use when a review workspace has manuscript text and needs a traceable claim ledger. **Trigger**: claims extractor, extract claims, contributions, assumptions, peer review, 审稿, 主张提取. **Use when**: 审稿/评审或 evidence audit,需要把主张列表落盘并可追溯到原文位置(section/page/quote)。 **Skip if**: 没有可用的稿件/全文(例如缺少 `output/PAPER.md` 或等价文本)。 **Network**: none. **Guardrail**: 每条 claim 必须带可定位的 source pointer;区分 empirical vs conceptual claims。

498 Updated today
WILLOSCAR
AI & Automation Featured

evidence-ledger

Build the deterministic evidence ledger (artifact_manifest.json + claims.json) that every other Anti-Autoresearch auditor reads. One pass inventories artifacts, derives the observability level (L0 PDF-only / L1 +LaTeX / L2 +repo+results) by fixed rule, and extracts span-anchored, hashed, checkable claims (numbers, comparisons, scope, method, baselines, citations, captions, table cells) into claims.json. An OPTIONAL additive cross-model pass ADDS span-anchored semantic claims — method, theorem statements with their assumptions, definitions, proof/derivation steps and equations, scope, baselines, conclusions, the motivation span, and reproducibility-artifact references (the proof, derivation, and structure anchors the family B/D/G auditors need) — it never invents a number, emits a finding, or computes a verdict. Run FIRST, before any audit skill. Triggers: "build the ledger", "extract claims", "prep for integrity audit", "evidence ledger", "建证据账本".

139 Updated 3 days ago
wanshuiyin