by wesleysimplicio · Codex Skill · ★ 6
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 | 6 |
| Forks | 0 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 72/100 |
| Last Updated | 2026-07-21 |
| Created | 2026-05-06 |
| Platforms | claude-code, codex, gemini, node |
| Est. Tokens | ~16k |
Skill bundle for Claude, Codex, Hermes, OpenClaw, Cursor, Windsurf, and generic agents covering PiAPI (Midjourney, Suno, Kling, Flux, Hailuo, Luma, Hunyuan, Faceswap, Trellis 3D, MMAudio, F5-TTS, Veo 3, Gemini 2.5 Flash Image, Seedance, and the OpenAI-compatible LLM gateway).
Looking for a PiAPI-Skills alternative? If you're comparing PiAPI-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.
Complete Kaggle integration plugin/skill for AI coding agents — competition reports, dataset/model downloads,
High-value AI skills repository for Codex, Claude Code, OpenClaw, agents, prompts, and automation workflows.
The open-source skill registry for AI coding agents. Create, manage, and distribute SKILL.md files across Open
RunAPI MCP server for model discovery, pricing lookup, media task creation, and balance checks.
MCP server for OpenRouter — chat with 300+ LLMs (Claude, Gemini, GPT), analyze images / audio / video, generat
Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTT
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: