paper-search — 多源学术论文检索
SkillSearchPaper search sub-skill. Aggregates academic literature searches across four free sources—OpenAlex API (default), arXiv, Semantic Scholar, and CrossRef—returning structured paper metadata (including DOI / abstract / citation count). Zero configuration by default; optionally set EZMM_OPENALEX_EMAIL /
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the paper-search — 多源学术论文检索 skill
What this skill tells your AI
The instructions your AI receives, as published by woodfishhhh/ez_math_model in skills/ez-math-model/tools/paper_search/SKILL.md and read by ahel’s review.
何时使用
- writer 在 pipeline 04 写理论性章节("为什么用 AHP" 等)
- modeler 在 pipeline 02 选择非教科书算法时找文献
- 任何需要"标题 → DOI → 摘要"的场景
入口脚本
scripts/openalex_scholar.py — OpenAlex 单源(首选,零配置)
scripts/aggregated_search.py — 多源聚合(OpenAlex + arXiv + S2 + CrossRef)
命令行用法
# 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
输出格式(JSON 数组)
[
{
"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。
配置
| 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。
限速与重试
- 单源失败重试 1 次(指数退避 1s, 4s)
- 第 2 次失败 → 标记该源不可用,跳过
- 至少 1 个源成功就返回结果,不强求全部
失败诊断
| 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 |
Signals
- GitHub stars
- 41
- Forks
- 1
- Last commit
- Jul 2026
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paper-search-woodfishhhh- Source
- github.com/woodfishhhh/ez_math_model