No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by product-on-purpose · Codex Skill · ★ 670
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pm-skills safe to install? View the security audit →
PM-Skills A curated library of 66 best-practice, plug-and-play product management skills covering the complete product lifecycle - plus templates, workflows, and 95+ real-world sample outputs that set the quality bar. Report a Bug · Request a Feature · Ask a Question <img src="https://img.shields.io/badge/spec-agentskills.io-orange.svg?style=flat-square" alt="Agent Skills Sp
| Stars | 670 |
| Forks | 84 |
| Language | JavaScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 68.2073421713668/100 |
| Open Issues | 19 |
| Last Updated | 2026-09-15 |
| Created | 2026-01-09 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~25k |
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pm-skills is 68 plug-and-play, best-practice product management skills for AI agents: 30 Triple Diamond phase + 11 foundation + 12 utility + 15 tool (Foundation Sprint + Design Sprint). Plus 6 sub-agents, workflow. It is categorized as a Codex Skill with 670 GitHub stars.
pm-skills is primarily written in JavaScript. It covers topics such as agent-skills, agentskills, ai-skills.
You can find installation instructions and usage details in the pm-skills GitHub repository at github.com/product-on-purpose/pm-skills. The project has 670 stars and 84 forks, indicating an active community.
pm-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to pm-skills on Agent Skills Hub include ai-skills, cursor-rules-java, token-optimizer. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: