Expand and refine search keywords (synonyms, acronyms, exclusions) and update `queries.md`.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
queries.md 已经能稳定检出覆盖面（无需扩大范围导致后续成本爆炸）。queries.md without drifting scope.queries.mdDECISIONS.md scope notesqueries.mdqueries.md with a clear “why” note for each change.queries.md contains updated keywords and excludes.DECISIONS.md scope constraints.Fix:
DECISIONS.md scope notes and add explicit exclusions in queries.md for common false positives.Fix:
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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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