
claims-extractor
Extract key claims, contributions, and assumptions from a paper/manuscript into `output/CLAIMS.md` w
作者 WILLOSCAR|オープンソース
Claims Extractor
Transforms manuscript text into a traceable claim ledger for paper-review.
Input
output/PAPER.md
Output
output/CLAIMS.mdoutput/CLAIMS.jsonl(review-claim.v1, one addressable claim per line)
Contract
Each claim block must include:
- claim text
- type:
empiricalorconceptual - 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.mdexistsoutput/CLAIMS.jsonlexists and every record has a stableclaim_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