| name | claims-extractor |
| description | 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。
|
Claims Extractor
Transforms manuscript text into a traceable claim ledger for paper-review.
Input
Output
output/CLAIMS.mdoutput/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 existsoutput/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
