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 pandazki · Agent Tool · ★ 162
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pneuma-skills safe to install? View the security audit →
Pneuma Skills Co-creation Infrastructure for Humans × Code Agents Visual environment, skills, continuous learning, and distribution — everything humans and agents need to build content together. Works with Claude Code by Anthropic Codex by OpenAI Kimi by Moonshot AI <img src="ht
| Stars | 162 |
| Forks | 16 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.8345946037712/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-27 |
| Created | 2026-02-26 |
| Platforms | claude-code, node |
| Est. Tokens | ~18k |
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pneuma-skills is Co-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.. It is categorized as a Agent Tool with 162 GitHub stars.
pneuma-skills is primarily written in TypeScript. It covers topics such as ai-agents, ai-coding-assistant, ai-tools.
You can find installation instructions and usage details in the pneuma-skills GitHub repository at github.com/pandazki/pneuma-skills. The project has 162 stars and 16 forks, indicating an active community.
pneuma-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pneuma-skills on Agent Skills Hub include claudepro-directory, claude-elixir-phoenix, claude-code-mastery. 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: