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 titanwings · Codex Skill · ★ 23.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is colleague-skill safe to install? View the security audit →
🧬 dot-skill（同事.skill） "You folks building LLMs are all code-sages! Flesh is weak! Ascend to cyberspace!" 🧑💼 Your colleague quit, your mentor graduated, your teammate transferred — taking their whole playbook and con
| Stars | 23,695 |
| Forks | 2,098 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.561849082453/100 |
| Open Issues | 37 |
| Last Updated | 2026-08-21 |
| Created | 2026-03-30 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~18k |
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colleague-skill is 将冰冷的离别化为温暖的 Skill，欢迎加入数字生命1.0！Transforming cold farewells into warm skills? It's giving rebirth era. Welcome to Digital Life 1.0. 🫶. It is categorized as a Codex Skill with 23.7k GitHub stars.
colleague-skill is primarily written in Python. It covers topics such as agent-skills, agentic-ai, ai-agent.
You can find installation instructions and usage details in the colleague-skill GitHub repository at github.com/titanwings/colleague-skill. The project has 23.7k stars and 2098 forks, indicating an active community.
colleague-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to colleague-skill on Agent Skills Hub include claude-skills, iPolloWork, cherry-studio. 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: