by AdamBartkiewicz · Codex Skill · ★ 9
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 | 9 |
| Forks | 3 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 61/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-13 |
| Created | 2026-04-09 |
| Platforms | claude-code, codex, gemini, node |
| Est. Tokens | ~18k |
Open-source AI skill manager — sync SKILL.md across Claude Code, Cursor, Codex, Copilot, Windsurf, Gemini & more. Self-host or use the cloud.
Looking for a praxl-oss alternative? If you're comparing praxl-oss 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.
The open-source skill registry for AI coding agents. Create, manage, and distribute SKILL.md files across Open
Multi-agent Claude Code skill for building apps and stuff
A verification-first engineering toolkit for Claude Code. Built for senior ICs and tech leads who already know
Stop "vibe coding" and start Stream Coding, the 10-20x velocity methodology for AI-accelerated development. In
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
Turn feature specs into merged PRs with a self-supervising swarm of coding agents — parallel execution, isolat
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: