by Th0rgal · Codex Skill · ★ 1.9k
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git clone https://github.com/Th0rgal/open-ralph-wiggumTaken from the project's README on GitHub. Check the security audit before running it.
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. Full audit →
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 | 1,892 |
| Forks | 143 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 77/100 |
| Open Issues | 8 |
| Last Updated | 2026-06-02 |
| Created | 2026-01-06 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~1505k |
Open Ralph Wiggum Autonomous Agentic Loop for Claude Code, Codex, Copilot CLI, Cursor Agent & OpenCode Works with Claude Code, OpenAI Codex, Copilot CLI, Cursor Agent, and OpenCode — switch agents with --agent. Based on the Ralph Wiggum technique by Geoffrey Huntley Supported Agents • What is Ralph? • Installation • Quick Start • Commands Tired of agents breaking your local environme
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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: