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claims-extractor

Use when a review workspace has manuscript text and needs a traceable claim ledger.

中文简介正在准备中。当前显示原文说明。

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包含的文件(2)

  • SKILL.md1.7 KB
  • scripts/run.py2.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Claims Extractor

Triggers & routing

  • 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。

Transforms manuscript text into a traceable claim ledger for paper-review.

Input

  • output/PAPER.md

Output

  • output/CLAIMS.md
  • output/CLAIMS.jsonl (review-claim.v1, one addressable claim per line)

Contract

Each claim block must include:

  • claim text
  • type: empirical or conceptual
  • scope
  • source pointer back into output/PAPER.md

The Markdown and JSONL files are two views of the same claim records. Downstream skills should prefer JSONL and retain Markdown fallback for older Workspaces.

Script boundary

scripts/run.py should:

  • detect claim-like sentences
  • normalize them into stable claim blocks
  • attach source pointers
  • separate empirical and conceptual claims

Keep parsing and ranking heuristics in shared review tooling, not in the skill script.

Acceptance

  • output/CLAIMS.md exists
  • output/CLAIMS.jsonl exists and every record has a stable claim_id
  • every claim has a source pointer
  • empirical and conceptual claims are separated

Non-goals

  • judging whether a claim is good
  • generating evidence gaps
  • writing review prose

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