维护中文毕业论文的 `codex_md/question_list.md`：把本轮问题、边界、优先级、协作方案和验收口径结构化，作为整条 thesis pipeline 的控制面。
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See how to installReview the instructions the agent will receive before you install.
这个 skill 负责维护毕业论文流程的控制面文档：
codex_md/question_list.md它不是备忘录，而是这一轮工作的单一入口。
codex_md/material_index.mdcodex_md/missing_info.mdcodex_md/*.mdclaude_md/review_checklist.mdcodex_md/question_list.mdAlways read:
references/overview.mdreferences/question_entry_schema.mdreferences/examples_good.mdreferences/examples_bad.mdMachine-readable contract:
assets/question_list_contract.jsonuv run python .codex/skills/thesis-question-list/scripts/run.py --workspace <workspace>No 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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