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 BlockRunAI · Codex Skill · ★ 6.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ClawRouter safe to install? View the security audit →
The agent-native LLM router for OpenClaw Route every request to the right model at the right price. 15-dimension scoring, One wallet, 41+ models, zero API keys. [](https://github.com/BlockRunAI/ClawRouter/ac
| Stars | 6,611 |
| Forks | 651 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62.520580571032/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-21 |
| Created | 2026-02-03 |
| Platforms | gemini, node |
| Est. Tokens | ~17k |
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ClawRouter is The agent-native LLM router for autonomous agents. Every frontier model behind one wallet, <1ms local routing, USDC payments on Base & Solana via x402.. It is categorized as a Codex Skill with 6.6k GitHub stars.
ClawRouter is primarily written in TypeScript. It covers topics such as ai, ai-agents, anthropic.
You can find installation instructions and usage details in the ClawRouter GitHub repository at github.com/BlockRunAI/ClawRouter. The project has 6.6k stars and 651 forks, indicating an active community.
ClawRouter is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ClawRouter on Agent Skills Hub include awesome-free-llm-apis, 9router, repomix. 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: