Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by loongclaw-ai · Codex Skill · ★ 600
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is loongclaw safe to install? View the security audit →
🐉 Loong - Rust Base for Vertical AI Agents "Originated from the East, here to benefit the world" </
| Stars | 600 |
| Forks | 92 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.9250419994617/100 |
| Open Issues | 171 |
| Last Updated | 2026-04-11 |
| Created | 2026-03-05 |
| Platforms | rust |
| Est. Tokens | ~1955k |
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loongclaw is Lightweight, clear, and fully extensible AI agent infrastructure — learn easily, customize anything 🐉. It is categorized as a Codex Skill with 600 GitHub stars.
loongclaw is primarily written in Rust. It covers topics such as agent, agentic-ai, agents.
You can find installation instructions and usage details in the loongclaw GitHub repository at github.com/loongclaw-ai/loongclaw. The project has 600 stars and 92 forks, indicating an active community.
loongclaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to loongclaw on Agent Skills Hub include loong, zerostack, openakita. 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: