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 obra · Claude Skill · ★ 736
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is superpowers-skills safe to install? View the security audit →
Superpowers Skills Community-editable skills for Claude Code's superpowers plugin. Structure - Core skills library - Utility scripts for skill management Installation This repository is automatically cloned by the superpowers plugin to . Contributing Users can fork this repo and submit PRs with new skills or improvements to existing ones.
| Stars | 736 |
| Forks | 164 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 49.0727730794685/100 |
| Open Issues | 7 |
| Last Updated | 2025-10-14 |
| Created | 2025-10-11 |
| Platforms | claude-code, node |
| Est. Tokens | ~14k |
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superpowers-skills is Community-editable skills for Claude Code's superpowers plugin. It is categorized as a Claude Skill with 736 GitHub stars.
superpowers-skills is primarily written in TypeScript.
You can find installation instructions and usage details in the superpowers-skills GitHub repository at github.com/obra/superpowers-skills. The project has 736 stars and 164 forks, indicating an active community.
superpowers-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to superpowers-skills on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. 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: