by kangarooking · Agent Tool · ★ 66
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git clone https://github.com/kangarooking/X-growth-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 | 66 |
| Forks | 8 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61/100 |
| Last Updated | 2026-07-14 |
| Created | 2026-07-14 |
| Est. Tokens | ~16k |
X-growth-skills 一套面向 X（Twitter）创作者的实战 Agent Skills：从账号定位、主页搭建和冷启动，到内容生产、推荐算法、互动增长、数据复盘与变现。 本仓库不是“爆款公式”合集，也不承诺每条内容都获得高曝光。它把多位 X 创作者的实战经验、X 官方创作建议和公开算法资料，蒸馏成 15 个可独立调用、可组合使用、带适用边界的 skills。 这套 skills 能解决什么问题 新账号不知道如何定位、装修主页和完成冷启动 内容发了没人看，不知道问题出在选题、结构、互动还是主页转化 想把 AI 工具、开源项目和行业资讯写成值得收藏的内容 想理解 For You 推荐机制，而不是依赖流量玄学 想系统研究对标账号，找到差异化内容方向 想用数据复盘内容，并规划可持续的变现路径 15 个 Skills 内容价值与生产 算法与长期策略 账号工程与冷启动 互动、定位与增长 |
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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.
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