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 CloudWave818 · Codex Skill · ★ 164
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ieee-skills safe to install? View the security audit →
ieee-skills One IEEE manuscript, all reviewer-facing checks. 普通润色工具帮你改句子，ieee-skills 更关心 IEEE 审稿人会不会买账：对象是否明确，工况是否成立，baseline 是否公平，实验是否真的支撑 claim，图表双栏缩放后是否还能读，返修回复是否有证据。 这是一组面向 IEEE 会议、期刊、Transactions、Letters 和工程技术论文工作流 的 Codex skills，覆盖写作、润色、预审、实验设计、图表检查、审稿回复、LaTeX 排版、引用核验和论文阅读。它不是 IEEE 官方项目，而是一套非官方的 IEEE-style academic writing and review skills。 English README 安装方法 这是什么 的目标不是泛泛地“帮你写论文”，而是把 IEEE 审稿中常见的硬要求拆成可复用的工作流： 它更适合 AI、通信、控制、信号处理、电力电子、嵌入式、机器人、硬件系统、工程应用等 IEEE 常见方向。核心风格是 工程问题明确、方法依据具体、实验支撑充分、图表排版专业、回复审稿克制有证据。 IEEE SubmitCheck 是这个仓库推荐的旗舰用法：不是单独问“帮我润色一下”，而是把一篇 IEEE 手稿按审稿人会看的证据链跑一遍。 一次完整检查应该输
| Stars | 164 |
| Forks | 10 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.3428144926423/100 |
| Last Updated | 2026-08-12 |
| Created | 2026-07-14 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
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ieee-skills is 面向 IEEE 风格论文写作、润色、审稿、实验、图表、LaTeX、引用和论文阅读的 Codex skills。. It is categorized as a Codex Skill with 164 GitHub stars.
ieee-skills is primarily written in Python.
You can find installation instructions and usage details in the ieee-skills GitHub repository at github.com/CloudWave818/ieee-skills. The project has 164 stars and 10 forks, indicating an active community.
ieee-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ieee-skills on Agent Skills Hub include ai-maestro, upskill, skills. 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.
Sources & who's responsible: