by dengyie · Codex Skill · ★ 59
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. 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 | 59 |
| Forks | 13 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 67/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-20 |
| Created | 2026-06-11 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
Awesome Skills Independent Agent Skills packaged according to the Anthropic Agent Skills specification. These packages provide modular workflows for software engineering, code quality review, network tunneling, and UI components. Compatible with OpenAI Codex, Claude Code, ZCode, Cursor, Gemini CLI, and Windsurf.
These tools work well together with awesome-skills for enhanced workflows:
Looking for a awesome-skills alternative? If you're comparing awesome-skills 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.
Reusable project context and specialist workflows for the AI tools you already use. Agents, skills, rules and
103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf,
Type one sentence, approve once, walk away — Toh Framework installs an AI build department (14 commands, 8 age
Give your AI coding agent a personality. Composable persona + style + skills for Claude Code, Codex, Gemini CL
An LLM council that reviews your coding agent's every move
Skills for AI coding agents — Laravel, PHP, React, TypeScript, testing, security, and code quality.
Explore other popular codex skill tools:
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: