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论文检索子 skill。通过 OpenAlex API（默认）、arXiv、Semantic Scholar、CrossRef 四个免费源聚合搜索学术文献，返回结构化论文元信息（含 DOI / 摘要 / 引用数）。 默认零配置；可选 EZMM_OPENALEX_EMAIL / EZMM_S2_API_KEY 提升配额。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules. Maintains a worklog and snapshots each iteration so revert is real, not symbolic. TRIGGER when the orchestrator delegates Step 5 or when the user asks to "refine the draft", "iterate on the paper", or "run peer review on this paper".
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy title match, temporal cutoff, dedup by paperId), build a BibTeX file, and draft Introduction + Related Work using ≥90% of the verified pool. Runs in parallel with the plotting-agent. TRIGGER when the orchestrator delegates Step 3 or when the user asks to "find citations for my paper", "draft the related work", or "build the bibliography".
Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator delegates Step 1 or when the user asks to "outline a paper from raw materials" or "generate the paper structure".
Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines, optional figures) into a submission-ready LaTeX manuscript and compiled PDF. TRIGGER when the user asks to "write a paper from my experiments", "turn this idea and these results into a paper", "generate a conference submission", "run paper-orchestra on X", or otherwise wants the end-to-end paper-writing pipeline. Coordinates the outline-agent, plotting-agent, literature-review-agent, section-writing-agent, and content-refinement-agent skills.
Use when solving CUMCM, MCM, ICM, or other mathematical modeling tasks that need contest problem intake, model selection, Python solving, figures, paper writing, quality audit, and packaged deliverables.
Use when EZ_math_model needs to convert paper.md to paper.docx, read a DOCX problem statement, preserve equations and tables, or package a modeling report as a Word document.
| name | paper-search |
| description | 论文检索子 skill。通过 OpenAlex API（默认）、arXiv、Semantic Scholar、CrossRef 四个免费源聚合搜索学术文献，返回结构化论文元信息（含 DOI / 摘要 / 引用数）。 默认零配置；可选 EZMM_OPENALEX_EMAIL / EZMM_S2_API_KEY 提升配额。 |
| allowed-tools | Bash, Read |
| read_when | ["论文写作时需要参考文献","模型选择论证段需要理论支撑","寻找经典教材或近期综述"] |
scripts/openalex_scholar.py — OpenAlex 单源（首选，零配置）
scripts/aggregated_search.py — 多源聚合（OpenAlex + arXiv + S2 + CrossRef）
# 单源（推荐先试）
python scripts/openalex_scholar.py "AHP TOPSIS comprehensive evaluation" --top-k 5
# 多源聚合（更全但慢）
python scripts/aggregated_search.py "grey prediction GM(1,1)" --top-k 8
# 输出到文件（用于 writer 后续读取）
python scripts/aggregated_search.py "Sobol sensitivity analysis" --top-k 5 \
--out workdir/{task_id}/refs/sensitivity.json
[
{
"title": "...",
"authors": ["...", "..."],
"year": 2022,
"doi": "10.1109/...",
"venue": "Journal / Conf",
"abstract": "...（≤ 500 字符）",
"cited_by_count": 132,
"url": "https://doi.org/...",
"source": "openalex | arxiv | s2 | crossref"
}
]
writer 取后插入 footnote 候选；每条文献全文唯一引用一次。
| Env Var | 必需 | 用途 |
|---|---|---|
EZMM_OPENALEX_EMAIL | 否 | 提供邮箱可提升 OpenAlex 配额 |
EZMM_S2_API_KEY | 否 | Semantic Scholar 配额翻倍 |
不填仍可使用所有源的免费配额。
| 情况 | 处理 |
|---|---|
| 全部源不可达（断网） | stdout 输出 []，stderr 给出诊断 |
| 单源限流 | 跳过；其他源继续 |
| 关键词太长 | 自动截至 200 字符 |