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 doccker · Codex Skill · ★ 1.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cc-use-exp safe to install? View the security audit →
AI 编码助手配置体系 保留你熟悉的 CLI/IDE，让 Claude Code、Gemini CLI、Codex、Cursor 开箱即用 按费力度从低到高，用最少操作获得最大帮助 不是提示词集合，而是一套可维护的 AI 协作配置系统。 适合谁 同时使用 Claude Code、Gemini CLI、Codex、Cursor 中的一种或多种 CLI/IDE 不想在每个 session 里重复交代技术栈、项目结构和编码规范 希望把团队协作方式沉淀成可维护的 r
| Stars | 1,024 |
| Forks | 107 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 60.9191129996553/100 |
| Open Issues | 5 |
| Last Updated | 2026-08-26 |
| Created | 2026-01-04 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~22k |
These tools work well together with cc-use-exp for enhanced workflows:
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cc-use-exp is ⛔ No longer maintained → dev-agent-kit/recipes 让 Claude Code、Antigravity、Gemini CLI、Codex、Cursor 开箱即用的分层配置模板，总结十多年的日常开发经验. It is categorized as a Codex Skill with 1.0k GitHub stars.
cc-use-exp is primarily written in Python. It covers topics such as agent-skills, ai-agent, ai-coding.
You can find installation instructions and usage details in the cc-use-exp GitHub repository at github.com/doccker/cc-use-exp. The project has 1.0k stars and 107 forks, indicating an active community.
The top alternatives to cc-use-exp on Agent Skills Hub include quint-code, agent-skills, pro-workflow. 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: