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open-ralph开放拉尔夫

Agent Skill

open-ralph 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

59,755

周安装

2,475

GitHub Stars

4

下载量

20,158
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:open-ralph(开放拉尔夫)
来源仓库:https://github.com/bderiel/open-ralph
安装命令:
openclaw skills install open-ralph
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install open-ralph

简介

使用具有免费模型和自动回退功能的 OpenCode Zen 运行自主的 Open Ralph Wiggum 编码循环。

SKILL.md

name
ralph-opencode-free-loop
description
Run an autonomous Open Ralph Wiggum coding loop using OpenCode Zen with free models and automatic fallback.
metadata
user-invocable
true

What this skill does

This skill runs an autonomous Ralph Wiggum coding loop using the ralph CLI with OpenCode as the agent provider.

It repeatedly executes the same coding prompt until:

  • The success criteria are met, OR
  • The completion promise is printed, OR
  • Max iterations are reached

The loop is optimized for free OpenCode Zen models and includes a fallback chain in case models are rate-limited, disabled, or removed.


When to use

Use this skill when you want autonomous coding execution such as:

  • Fixing failing tests
  • Implementing scoped features
  • Refactoring codebases
  • Resolving lint/type errors
  • Running build-fix loops
  • Multi-iteration debugging

You MUST be inside a git repository before running Ralph.


Free model fallback order

Always attempt models in this order:

  1. opencode/kimi-k2.5-free ← Best coding performance (limited time free)
  2. opencode/minimax-m2.1-free
  3. opencode/glm-4.7-free
  4. opencode/big-pickle ← Free stealth model fallback

If a model fails due to availability or quota, immediately retry using the next model without changing the prompt or loop parameters.

Failure triggers for fallback

Fallback if you encounter errors like:

  • model disabled
  • model not found
  • insufficient quota
  • quota exceeded
  • payment required
  • rate limit
  • provider unavailable

How to run the loop

Attempt #1 (primary model)

Run:

ralph "<TASK PROMPT>

Success criteria:

  • <list verifiable checks>
  • Build passes
  • Tests pass

Completion promise: <promise>COMPLETE</promise>" \ --agent opencode \ --model opencode/kimi-k2.5-free \ --completion-promise "COMPLETE" \ --max-iterations 20


Attempt #2 (fallback)

If attempt #1 fails due to model issues, rerun with:

--model opencode/minimax-m2.1-free


Attempt #3 (fallback)

If attempt #2 fails:

--model opencode/glm-4.7-free


Attempt #4 (final fallback)

If attempt #3 fails:

--model opencode/big-pickle


Tasks mode (for large projects)

For multi-step execution:

ralph "<BIG TASK PROMPT>" \ --agent opencode \ --model opencode/kimi-k2.5-free \ --tasks \ --max-iterations 50

Fallback model order still applies.


Plugin troubleshooting

If OpenCode plugins interfere with loop execution, rerun with:

--no-plugins


Sanity check available Zen models

If free model availability changes, check:

https://opencode.ai/zen/v1/models

Update fallback order if needed.


Safety notes

  • Always run inside a git repo
  • Set iteration limits to avoid runaway loops
  • Ensure prompts contain verifiable success criteria
  • Review diffs before merging autonomous changes

Example usage

Fix failing TypeScript errors:

ralph "Fix all TypeScript errors in the repo.

Success criteria:

  • tsc passes
  • Build succeeds

Completion promise: <promise>COMPLETE</promise>" \ --agent opencode \ --model opencode/kimi-k2.5-free \ --completion-promise "COMPLETE" \ --max-iterations 20

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

72.6%
按下载量换算14,635

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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