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 HybridAIOne · Codex Skill · ★ 156
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hybridclaw safe to install? View the security audit →
HybridClaw Business Skills That Work On Smaller Models HybridClaw's main promise is practical business work. The bundled CRM, marketing, analytics, finance, cloud, office, and operations s
| Stars | 156 |
| Forks | 14 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.9380495161888/100 |
| Open Issues | 321 |
| Last Updated | 2026-10-04 |
| Created | 2026-02-24 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~17k |
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hybridclaw is Enterprise-ready self-hosted AI assistant runtime with sandboxed execution, secure credentials, approvals, and memory. It is categorized as a Codex Skill with 156 GitHub stars.
hybridclaw is primarily written in TypeScript. It covers topics such as ai, ai-agents, anthropic.
You can find installation instructions and usage details in the hybridclaw GitHub repository at github.com/HybridAIOne/hybridclaw. The project has 156 stars and 14 forks, indicating an active community.
hybridclaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to hybridclaw on Agent Skills Hub include open-skills, kindly-web-search-mcp-server, c4-genai-suite. 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: