by CommonstackAI · Agent Tool · ★ 685
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is UncommonRoute safe to install? View the security audit →
English | 简体中文 UncommonRoute Cut your API bill in half without giving up performance. UncommonRoute plugs into Claude Code, Cursor, Codex, or the OpenAI SDK. It runs locally and routes each request to the right model. On a held-out 100-case SWE-bench Verified split, the trained router solved 75/100 tasks vs 74/100 with Opus-only, at 53% lower API cost. Quick Start · Savings · Dashboard · Benchmark · How It Works · FAQ 75 / 100
pipx install uncommon-route
git clone https://github.com/CommonstackAI/UncommonRoute.gitTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
| Stars | 685 |
| Forks | 28 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.927976767211/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-26 |
| Created | 2026-03-12 |
| Platforms | python |
| Est. Tokens | ~674k |
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UncommonRoute is Automatic LLM router — 82% cost savings, 79.4% accuracy, 93.4% pass rate. Drop-in OpenAI proxy.. It is categorized as a Agent Tool with 685 GitHub stars.
UncommonRoute is primarily written in Python. It covers topics such as agent, ai, anthropic.
The README on GitHub (github.com/CommonstackAI/UncommonRoute) gives: pipx install uncommon-route , then git clone https://github.com/CommonstackAI/UncommonRoute.git. Usage details are in the same README.
UncommonRoute is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to UncommonRoute on Agent Skills Hub include NadirClaw, NadirClaw, tools. 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: