by umputun · Codex Skill · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
go install github.com/umputun/ralphex/cmd/ralphex@latest
brew install umputun/apps/ralphexTaken 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 | 1,505 |
| Forks | 133 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71/100 |
| Open Issues | 4 |
| Last Updated | 2026-11-02 |
| Created | 2026-01-19 |
| Platforms | claude-code, codex, go |
| Est. Tokens | ~27k |
Autonomous plan execution with Claude Code ralphex is a standalone CLI tool that runs in your terminal from the root of a git repository. It orchestrates Claude Code to execute implementation plans autonomously - no IDE plugins or cloud services required, just Claude Code and a single binary. Claude Code is powerful but interactive - it requires you to watch, approve, and guide each step.
Looking for a ralphex alternative? If you're comparing ralphex with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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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: