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 aza-ali · Agent Tool · ★ 135
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ai-product-management safe to install? View the security audit →
Awesome AI Product Management A curated list for product managers. The job of "PM" is being rewritten in real time. This list is for PMs who want to ship faster with AI, think clearly about AI product strategy, and stay current as the practice forms. Contents Tools for PMs AI-native or AI-augmented tools PMs actually use day to day. Research & synthesis <img src="./text/claude.svg" align="absmiddle" alt=
| Stars | 135 |
| Forks | 9 |
| Category | Agent Tool |
| Quality Score | 54.0322809530883/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-24 |
| Created | 2026-05-15 |
| Platforms | claude-code |
| Est. Tokens | ~9k |
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awesome-ai-product-management is 🤖 Resources for AI product managers.. It is categorized as a Agent Tool with 135 GitHub stars.
You can find installation instructions and usage details in the awesome-ai-product-management GitHub repository at github.com/aza-ali/awesome-ai-product-management. The project has 135 stars and 9 forks, indicating an active community.
The top alternatives to awesome-ai-product-management on Agent Skills Hub include awesome-claude-skills, awesome-openclaw, Product-to-Prod. 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: