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 KKKKhazix · Codex Skill · ★ 21.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is khazix-skills safe to install? View the security audit →
中文 · English 🧰 Khazix Skills 我自己每天在用的一些 AI Skill，都开源在这里 都是在自己项目里跑通了一段时间，确实省事，才搬出来开源的。没什么花活，就是几个挺实用的东西。 这里的每个 Skill 都是 Agent 能直接加载的结构化指令集，遵循 Agent Skills 开放标准。Claude Code、Codex、Qoder、Kimi Code、iFlow、CodeBuddy、Cursor 等 40+ 支持该标准的 Agent 都能装。 📋 目录 | 🔭
| Stars | 21,090 |
| Forks | 2,235 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.1663068584554/100 |
| Open Issues | 49 |
| Last Updated | 2026-10-01 |
| Created | 2026-04-06 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
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khazix-skills is 数字生命卡兹克开源的 AI Skills 合集 | Agent Skills: leader（帮你定义目标）, neat-freak 洁癖, hv-analysis, khazix-writer & more — Claude Code, Codex & 40+ agents. It is categorized as a Codex Skill with 21.1k GitHub stars.
khazix-skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, claude.
You can find installation instructions and usage details in the khazix-skills GitHub repository at github.com/KKKKhazix/khazix-skills. The project has 21.1k stars and 2235 forks, indicating an active community.
khazix-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to khazix-skills on Agent Skills Hub include awesome-claude-skills, humanizer, 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: