by yinxulai · Codex Skill · ★ 168
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
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 | 168 |
| Forks | 2 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 54/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-19 |
| Created | 2026-08-11 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~13k |
OSW Put every LLM channel you own behind one local address. When one goes down, the next one takes over. English | 简体中文 OSW runs a proxy on your machine. You register all the channels you have — different providers, different accounts, different models — put them in the order you want them tried, and point every AI client at a single local address.
These tools work well together with one-switch for enhanced workflows:
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Minimal LLM API reverse proxy for Claude Code, Codex CLI & Gemini CLI — YAML routing, hot reload, and automati
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Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server
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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: