No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Zechang-Xiong · Codex Skill · ★ 74
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is chinese-reference-formatter-skill safe to install? View the security audit →
中文参考文献.skill Chinese Reference Formatter Skill 把“只有题名”的文献，整理成可核验的中文论文参考文献和 BibTeX。 效果示例 · 安装 · 它解决什么 · 工作原理 · 开发 一句话 人工整理参考文献时，最烦的是格式；让 AI 代劳时，最怕的是信息不可靠。 这个 skill 同时解决这两个问题：先核验公开元数据，再输出通用中文论文参考文献条目和 BibTeX。找不到明确文献时，它会直接说找不到；来源冲突时，它会给出歧义说明。 少调格式，不编参考文献。 效果示例 你输入 它输出 bibtex @article{kipf-2017-semi-supervised-classification-graph, author = {Kipf, Thomas N and Welling, Max}, title = {Semi-supervised classification with graph convolutional networks}, journal = {International Conference on Learning Representations}, year = {2017}, doi = {10.48550/arX
| Stars | 74 |
| Forks | 5 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67.2387899643089/100 |
| Last Updated | 2026-05-10 |
| Created | 2026-05-07 |
| Platforms | codex, python |
| Est. Tokens | ~2k |
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chinese-reference-formatter-skill is Codex skill for formatting Chinese academic references and BibTeX. It is categorized as a Codex Skill with 74 GitHub stars.
chinese-reference-formatter-skill is primarily written in Python. It covers topics such as academic-writing, agent-skills, bibliography.
You can find installation instructions and usage details in the chinese-reference-formatter-skill GitHub repository at github.com/Zechang-Xiong/chinese-reference-formatter-skill. The project has 74 stars and 5 forks, indicating an active community.
chinese-reference-formatter-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to chinese-reference-formatter-skill on Agent Skills Hub include OneCite, Codex-Academic-Skills, cli-anything-zotero. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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