by vishalmdi · MCP Server · ★ 101
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git clone https://github.com/vishalmdi/ai-native-pm-os.gitTaken 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 | 101 |
| Forks | 14 |
| Language | Shell |
| Category | MCP Server |
| Quality Score | 65/100 |
| Last Updated | 2026-04-27 |
| Created | 2026-04-23 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~14k |
AI-Native PM OS Your Complete Product Management Operating System — Built with Claude Code Not a tutorial. A real, deployable work infrastructure. By the time you finish, you won't just know Claude Code — you'll have a working PM command center you use every day. What This Course Is Most AI courses teach you to prompt. This course teaches you to operate.
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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: