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 md8-habibullah · AI Tool · ★ 102
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is top-github-repos-list safe to install? View the security audit →
🌟 200+ Ultimate Open-Source Repositories: The Developer's Curated Guide [2026] 🚀 (Curated by Category) The ultimate curated collection of 200+ high-impact open-source repositories for Web Dev, DevOps, AI, and Security. Updated for 2026. A curated, categorized, and regularly updated list of must-see open source repositories for developers, students, and tech enthusiasts. 🚀 Established in 2024 | Continuously Maintained 📍 Table of Contents 🚀 Roadmaps & Learning Paths 🤖 AI & LLM Engineering 🌐 Web Development [📱 Mobile Develop
| Stars | 102 |
| Forks | 19 |
| Category | AI Tool |
| Quality Score | 49.8911444991377/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-15 |
| Created | 2025-05-18 |
| Est. Tokens | ~20k |
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top-github-repos-list is A curated list of top open-source GitHub repositories across various categories to help developers discover valuable projects and resources.. It is categorized as a AI Tool with 102 GitHub stars.
You can find installation instructions and usage details in the top-github-repos-list GitHub repository at github.com/md8-habibullah/top-github-repos-list. The project has 102 stars and 19 forks, indicating an active community.
The top alternatives to top-github-repos-list on Agent Skills Hub include gemini-flow, awesome-code-docs, api200. 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: