claims-extractorlisted

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。
WILLOSCAR/research-units-pipeline-skills · ★ 499 · Data & Documents · score 79

Install: claude install-skill WILLOSCAR/research-units-pipeline-skills

# Claims Extractor 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