by pawbytes · Codex Skill · ★ 109
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add pawbytes/skill-suites
git clone https://github.com/pawbytes/skill-suites.git
Taken 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 | 109 |
| Forks | 19 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-03 |
| Created | 2026-04-02 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
Pawbytes Skill Suites 59 AI agent skills for Claude Code — agentic marketing automation, AI creative agency workflows, product development, webinar creation, and developer productivity tools. Install The interactive installer lets you pick individual modules or install everything at once. Modules — 23 skills A full AI marketing team inside Claude Code.
Looking for a skill-suites alternative? If you're comparing skill-suites with other codex skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A Codex/Claude skill that maintains per-repo operating theory documents.
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: