by kimsanguine · Agent Tool · ★ 57
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin marketplace add kimsanguine/AI_PM
/plugin install ai-pm@ai-pm
Taken from the project's README on GitHub.
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.
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 | 57 |
| Forks | 19 |
| Language | Shell |
| Category | Agent Tool |
| Quality Score | 60/100 |
| Last Updated | 2026-08-16 |
| Created | 2026-02-22 |
| Platforms | claude-code, cli |
| Est. Tokens | ~137k |
🚀 Claude Code for PMs — AI 네이티브 PM 실전 가이드 한국어 PM 을 위한 Claude Code 실전 플레이북. 기준, 8파트 + 10 유즈케이스. "도구를 배우는 것이 아니라, PM의 일하는 방식을 재설계한다." AI 네이티브 PM은 컨텍스트 인프라를 설계한다 — CLAUDE.md · INDEX.md · Skills · Hooks. 시리즈 안에서의 위치 자매 PM 도구: hplan — Product Build Gate (만들기 전 검증). AIPM 이 "어떻게 만들 것인가" 라면, hplan 은 "정말 만들 것인가" 의 30분 체크리스트.
These tools work well together with AI_PM for enhanced workflows:
Looking for a AI_PM alternative? If you're comparing AI_PM with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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AI-native, markdown-first project management. Your repo is the project manager.
Ready-to-use CLAUDE.md and starter skill for product managers using Claude Code.
🤖 Resources for AI product managers.
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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: