by nashsu · Codex Skill · ★ 926
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add https://github.com/nashsu/AutoCLI-skillTaken 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 | 926 |
| Forks | 90 |
| Category | Codex Skill |
| Quality Score | 65/100 |
| Open Issues | 6 |
| Last Updated | 2026-04-20 |
| Created | 2026-03-25 |
| Platforms | browser, claude-code, cli |
| Est. Tokens | ~5k |
autocli-skill The perfect companion for ClaudeCode/OpenClaw/Agent, Give your AI Agent the ability to reach information across the entire web, fetching real-time data from Bilibili, Zhihu, Twitter/X, YouTube, Weibo, Reddit, Facebook, Instagram, TikTok, Notion, Cursor and 55+ platforms with natural language — reusing your Chrome login session, no API keys needed. Blazing fast Rust binary.
These tools work well together with autocli-skill for enhanced workflows:
Looking for a autocli-skill alternative? If you're comparing autocli-skill with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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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.
Sources & who's responsible: