by lukas-grigis · Codex Skill · ★ 23
[![Built with Donuts](https:/
| Stars | 23 |
| Forks | 1 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.419621137762/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-17 |
| Created | 2026-02-05 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~19k |
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ralphctl is A ralph harness for long-running AI coding tasks — a generator-evaluator loop that drives Claude Code, GitHub Copilot, OpenAI Codex, OpenCode or Grok across one or more repositories 🍩. It is categorized as a Codex Skill with 23 GitHub stars.
ralphctl is primarily written in TypeScript. It covers topics such as agent-harness, ai-coding, anthropic.
You can find installation instructions and usage details in the ralphctl GitHub repository at github.com/lukas-grigis/ralphctl. The project has 23 stars and 1 forks, indicating an active community.
ralphctl is released under the MIT license, making it free to use and modify according to the license terms.