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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 | 105 |
| Forks | 2 |
| Language | Shell |
| Category | AI Tool |
| Quality Score | 53/100 |
| Last Updated | 2026-03-09 |
| Created | 2026-03-09 |
| Platforms | cli |
| Est. Tokens | ~3k |
Great Product Skills A collection of Cursor agent skills for a full-cycle product development workflow — from ideation to interactive prototype. Overview is the orchestrator skill that acts as an AI Team Lead (codename: Seven / 阿七), driving a product from fuzzy idea to polished demo through four phases: Skills Installation Copy the skill directories into your project's folder: Usage Trigger the...
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SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration
Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights
Skill to talk to Claude about your projects over the phone
.NET MAUI skills for GitHub Copilot and Claude Code
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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: