Flagged: installs a background service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by jianshuo · Claude Skill · ★ 123
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-skills safe to install? View the security audit →
claude-skills 我（王建硕）日常在 Claude Code 里用的 skills。 Auto-mirrored from by a PostToolUse hook — 每次我编辑 skill，对应目录会被 rsync 到这里并推送到 GitHub。 Hook 源码： 前置:安装 Claude Code / Install Claude Code 这些 skill 跑在 Claude Code 里,所以先装 Claude Code。 装好后在任意项目目录运行 即可。首次启动会引导登录(Claude 账号或 API key)。 升级:(原生安装)或 (npm 安装)。 安装 Skills / Install Skills 兼容性 / Compatibility 是 Anthropic 公开的 skill 格式标准（2025 年 10 月发布，2025 年 12 月被 OpenAI Codex 采纳），所以这套 skill 同样适用于: Claude Code — 主要测试和使用环境 OpenAI Codex CLI — 2025-12+ 起兼容 Cursor / Gemini CLI / Goose —
| Stars | 123 |
| Forks | 18 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 62.9550303574337/100 |
| Last Updated | 2026-08-20 |
| Created | 2026-05-11 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~18k |
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claude-skills is 13 Claude Code skills for video production (transcribe / translate / dub / multicam / subtitles / reframe) + WeChat publishing. Compatible with Claude Code, OpenAI Codex CLI, Cursor, Gemini.. It is categorized as a Claude Skill with 123 GitHub stars.
claude-skills is primarily written in Python. It covers topics such as agent-skills, ai-agent, claude.
You can find installation instructions and usage details in the claude-skills GitHub repository at github.com/jianshuo/claude-skills. The project has 123 stars and 18 forks, indicating an active community.
claude-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-skills on Agent Skills Hub include cursor-rules-java, awesome-ai-agent-skills, yt2bb. 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: