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 SuperClaude-Org · Agent Tool · ★ 23.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is SuperClaude_Framework safe to install? View the security audit →
🚀 SuperClaude Framework Transform Claude Code into a Structured Development Platform <a href="https:/
| Stars | 23,910 |
| Forks | 2,000 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.0003622391074/100 |
| Open Issues | 72 |
| Last Updated | 2026-09-27 |
| Created | 2025-06-22 |
| Platforms | claude-code, python |
| Est. Tokens | ~18k |
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SuperClaude_Framework is A configuration framework that enhances Claude Code with specialized commands, cognitive personas, and development methodologies.. It is categorized as a Agent Tool with 23.9k GitHub stars.
SuperClaude_Framework is primarily written in Python.
You can find installation instructions and usage details in the SuperClaude_Framework GitHub repository at github.com/SuperClaude-Org/SuperClaude_Framework. The project has 23.9k stars and 2000 forks, indicating an active community.
SuperClaude_Framework is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to SuperClaude_Framework on Agent Skills Hub include awesome-claude-code, open-saas, notebooklm-skill. 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: