by stephenlzc · Agent Tool · ★ 139
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.git literature-reviewer-skill
git clone https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills.gitTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 139 |
| Forks | 18 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66/100 |
| Last Updated | 2026-09-07 |
| Created | 2026-03-05 |
| Platforms | python |
| Est. Tokens | ~17k |
Literature Reviewer Skill 中文（主文档） | English ⚠️ 安全提示: 本 Skill 依赖 browser skill 进行浏览器自动化，将访问浏览器 cookies 和登录状态。建议在隔离环境（如 Docker）中运行。详见 SECURITY.md 系统性学术文献回顾（Literature Survey）Skill for Kimi CLI 采用 8阶段工作流，浏览器自动化检索，支持 CNKI/WOS/ScienceDirect，零配置输出 GB/T 7714-2015 格式文献综述 📖 简介 Literature Survey Skill 是一个为 Kimi CLI 设计的 Skill 插件，用于帮助用户进行系统性的学术文献回顾。 核心优势 🚀 8阶段工作流：从查询分析到综述生成的完整流程 🌐 浏览器自动化：无需API配置，直接访问学术数据库...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: