by Shaivpidadi · Claude Skill · ★ 238
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx clawhub@latest install free-ride
Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 238 |
| Forks | 40 |
| Language | Python |
| Category | Claude Skill |
| License | MIT-0 |
| Quality Score | 77/100 |
| Last Updated | 2026-10-24 |
| Created | 2026-02-05 |
| Platforms | claude-code, python |
| Est. Tokens | ~8k |
🎢 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.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: