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 Shaivpidadi · Claude Skill · ★ 231
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is FreeRide safe to install? View the security audit →
🎢 FreeRide Stop paying for AI. Start riding free. FreeRide gives you unlimited free AI in OpenClaw by automatically managing OpenRouter's free models. The Problem You're using OpenClaw. You love it. But: 💸 API costs add up fast 🚫 Free models have rate limits 😤 Manually switching models is annoying 🤷 You don't know which free model is actually good The Solution One command. Free AI. Forever. That's it. FreeRide: Finds the 30+ free models on OpenRouter Ranks them by quality (context length, capabilities, speed) Sets the best one as your primary
| Stars | 231 |
| Forks | 39 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 75.7091455143254/100 |
| Last Updated | 2026-05-07 |
| Created | 2026-02-05 |
| Platforms | claude-code, python |
| Est. Tokens | ~9k |
These tools work well together with FreeRide for enhanced workflows:
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FreeRide is FreeRide gives you unlimited free AI in OpenClaw by automatically managing OpenRouter's free models.. It is categorized as a Claude Skill with 231 GitHub stars.
FreeRide is primarily written in Python. It covers topics such as claude-code, claude-skills, openclaw.
You can find installation instructions and usage details in the FreeRide GitHub repository at github.com/Shaivpidadi/FreeRide. The project has 231 stars and 39 forks, indicating an active community.
The top alternatives to FreeRide on Agent Skills Hub include skills, awesome-agent-skills, soul.md. 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: