Use when a review workspace has manuscript text and needs a traceable claim ledger.
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Run score Not tested
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output/PAPER.md 或等价文本）。Transforms manuscript text into a traceable claim ledger for paper-review.
output/PAPER.mdoutput/CLAIMS.mdoutput/CLAIMS.jsonl (review-claim.v1, one addressable claim per line)Each claim block must include:
empirical or conceptualoutput/PAPER.mdThe Markdown and JSONL files are two views of the same claim records. Downstream skills should prefer JSONL and retain Markdown fallback for older Workspaces.
scripts/run.py should:
Keep parsing and ranking heuristics in shared review tooling, not in the skill script.
output/CLAIMS.md existsoutput/CLAIMS.jsonl exists and every record has a stable claim_idNo reviews yet. Tell others what you thought.
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Internal template for creating or refactoring a skill into the repository's reference-first shape. **Trigger**: reference-first template, blueprint skill, create a reusable skill, refactor a script-heavy skill. **Use when**: you need a lean `SKILL.md`, explicit `references/`, machine-readable `assets/`, and a minimal deterministic `run.py`.
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Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.
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Extract per-subsection “anchor facts” (NO PROSE) from evidence packs so the writer is forced to include concrete numbers/benchmarks/limitations instead of generic summaries.
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Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.
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Build a final, machine-readable argument snapshot from current H3 sections and refresh section fingerprints before merge.
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Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing `output/CONTRACT_REPORT.md`; use for mid-Run coverage snapshots or final delivery completeness, not deep provenance integrity.
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