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citation-finder
作者
antonia huang
· GitHub ↗
· v1.0.0
· MIT-0
359
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install citation-finder
功能描述
Academic citation lookup and formatter. Given a fuzzy paper title (Chinese or English), searches CrossRef, Semantic Scholar, Baidu Scholar, and CNKI, then re...
使用说明 (SKILL.md)
Citation Finder Skill
Description
Academic citation lookup and formatter. Given a fuzzy paper title or description (in Chinese or English), searches both Chinese and English academic databases, identifies the most likely paper, and returns formatted citations in GB/T 7714, APA, and MLA formats along with source links.
Trigger Conditions
Use this skill when the user:
- Asks to find a paper or citation (e.g. "帮我找这篇文献", "cite this paper", "这篇论文怎么引用")
- Provides a fuzzy or partial paper title in Chinese or English
- Asks to format a reference in GB/T 7714, APA, or MLA
- Uses keywords: 参考文献, 引用格式, 文献查找, find paper, citation, reference, cite
Workflow
- Detect input language (Chinese / English / mixed)
- Search in parallel:
- English: CrossRef API + Semantic Scholar API
- Chinese: Baidu Scholar (web scrape) + CNKI search
- Score and rank candidates by title similarity + metadata completeness
- If top match confidence > 80%: return directly
- If confidence 50–80%: show top 3 candidates, ask user to confirm
- If confidence \x3C 50%: inform user and ask for more details
- Format confirmed paper into GB/T 7714, APA 7th, MLA 9th
- Return citations + DOI/source URL
Usage
用法：直接描述或粘贴模糊文献标题
示例：帮我找一下 "注意力机制在自然语言处理中的应用" 这篇论文的引用格式
示例：find citation for "attention is all you need"
Scripts
scripts/search_en.py— CrossRef + Semantic Scholar searchscripts/search_cn.py— Baidu Scholar + CNKI searchscripts/format_cite.py— Citation formatter (GB/T 7714, APA, MLA)scripts/run.py— Main entry point (orchestrates all steps)
Dependencies
requests>=2.28.0
beautifulsoup4>=4.11.0
rapidfuzz>=3.0.0
Install: pip install requests beautifulsoup4 rapidfuzz
安全使用建议
This skill appears to do what it says: it searches public APIs and scrapes Chinese search pages, then formats citations. Things to consider before installing: (1) it will make outbound HTTP requests to CrossRef, Semantic Scholar, Baidu Scholar, and CNKI — avoid sending sensitive or private data as the query. (2) Web scraping (Baidu/CNKI) may be blocked, fragile, or violate site terms; expect occasional failures or missing results. (3) There's a small documentation/code mismatch: SKILL.md's confidence thresholds differ from run.py's numeric thresholds (80/50 vs 75/45); behavior you see will follow the code. (4) No credentials are requested and no unusual file/system access occurs. If you need stricter guarantees, review the code yourself (it's included) or run it in an isolated environment and verify outputs before relying on citations in formal work.
功能分析
Type: OpenClaw Skill
Name: citation-finder
Version: 1.0.0
The citation-finder skill is a legitimate academic tool designed to search for research papers and format citations in GB/T 7714, APA, and MLA styles. The code uses standard libraries (requests, BeautifulSoup, rapidfuzz) to query public APIs (CrossRef, Semantic Scholar) and scrape academic search engines (Baidu Scholar, CNKI) as described in the documentation. No evidence of data exfiltration, malicious execution, or prompt injection was found across the scripts (run.py, search_en.py, search_cn.py, format_cite.py).
能力评估
Purpose & Capability
Name/description (citation lookup + formatting) align with the included scripts: English searches use CrossRef and Semantic Scholar APIs; Chinese searches scrape Baidu Scholar and CNKI; formatting produces GB/T 7714, APA, and MLA. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
Runtime instructions and code stay within the stated purpose (search, rank, and format). Minor inconsistencies: SKILL.md states confidence thresholds (>80% direct, 50–80% ask to confirm) whereas run.py uses 75/45 thresholds (CONFIDENCE_HIGH=75, CONFIDENCE_MID=45). Also the skill performs web scraping of Baidu Scholar and CNKI (documented), which is expected but may be brittle or subject to anti-scraping/TOS concerns; the code does not attempt to read unrelated files or environment variables.
Install Mechanism
No install spec (instruction-only skill) and only standard Python dependencies (requests, beautifulsoup4, rapidfuzz) are required via pip. There are no downloads from untrusted URLs or archive extraction steps.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The code does perform outbound HTTP calls to public APIs and web pages (CrossRef, Semantic Scholar, xueshu.baidu.com, kns.cnki.net) which is consistent with its stated purpose.
Persistence & Privilege
Skill is not forced-always (always:false) and uses normal autonomous invocation settings. It does not modify other skills or system config and does not request persistent elevated privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install citation-finder - 安装完成后，直接呼叫该 Skill 的名称或使用
/citation-finder触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Citation Finder Skill 1.0.0 – Initial release
- Searches academic papers by fuzzy title in Chinese or English.
- Supports CrossRef, Semantic Scholar, Baidu Scholar, and CNKI sources.
- Returns formatted citations in GB/T 7714, APA 7th, and MLA 9th styles, with source links.
- Handles low-confidence matches by prompting for confirmation.
- Easy usage: simply enter a paper title or citation request.
- Dependencies: requests, beautifulsoup4, rapidfuzz.
元数据
常见问题
citation-finder 是什么？
Academic citation lookup and formatter. Given a fuzzy paper title (Chinese or English), searches CrossRef, Semantic Scholar, Baidu Scholar, and CNKI, then re... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 359 次。
如何安装 citation-finder？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install citation-finder」即可一键安装，无需额外配置。
citation-finder 是免费的吗？
是的，citation-finder 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
citation-finder 支持哪些平台？
citation-finder 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 citation-finder？
由 antonia huang（@antonia-sz）开发并维护，当前版本 v1.0.0。
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