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 CodePhiliaX · Codex Skill · ★ 670
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is youclaw safe to install? View the security audit →
YouClaw Desktop AI Assistant powered by Claude Agent SDK Download & Install macOS Download the file from the Releases page, open it and drag YouClaw into Applications. Apple Silicon (M1/M2/M3/M4) and Intel are both supported. Windows Download the installer from Releases and run it. Linux 🚧 Coming soon — stay tuned! Features Multi-Agent Management — Create and configure multiple AI agents via YAML, each with its own personality, m
| Stars | 670 |
| Forks | 157 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 78.6638313184791/100 |
| Open Issues | 5 |
| Last Updated | 2026-04-11 |
| Created | 2026-03-10 |
| Platforms | claude-code, node |
| Est. Tokens | ~244k |
These tools work well together with youclaw for enhanced workflows:
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youclaw is 🦞 Your AI Personal Assistant. An intelligent assistant with memory, skills, and scheduled tasks that truly understands you . Helping you tackle everything in work and life.. It is categorized as a Codex Skill with 670 GitHub stars.
youclaw is primarily written in TypeScript. It covers topics such as ai, ai-agent, claude.
You can find installation instructions and usage details in the youclaw GitHub repository at github.com/CodePhiliaX/youclaw. The project has 670 stars and 157 forks, indicating an active community.
youclaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to youclaw on Agent Skills Hub include Overture, google_workspace_mcp, skillshare. 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: