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Flagged: sudo usage. 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 | 325 |
| Forks | 56 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 55/100 |
| Last Updated | 2026-04-09 |
| Created | 2026-03-06 |
| Platforms | claude-code, python |
| Est. Tokens | ~16k |
Evasion SubAgents 基于 Claude Code 的免杀技术Subagents集合。 项目概述 本项目是一个 Claude Code 插件，通过 SubAgents 和 Skills 实现： 环境要求 Windows 安装指南 安装 Python 安装 MinGW-w64 (交叉编译器) 安装 GitHub CLI 安装 Claude Code powershell 使用 npm 安装 (需要 Node.js) npm install -g @anthropic-ai/claude-code 或使用官方安装器 https://github.com/anthropics
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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: