Run an autonomous Open Ralph Wiggum coding loop using OpenCode Zen with free models and automatic fallback.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。
SkillHub CLI
skillhub install bderiel/open-ralph打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。
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 loop is optimized for free OpenCode Zen models and includes a fallback chain in case models are rate-limited, disabled, or removed.
Use this skill when you want autonomous coding execution such as:
You MUST be inside a git repository before running Ralph.
Always attempt models in this order:
opencode/kimi-k2.5-free ← Best coding performance (limited time free)opencode/minimax-m2.1-free
opencode/glm-4.7-free
opencode/big-pickle ← Free stealth model fallbackIf a model fails due to availability or quota, immediately retry using the next model without changing the prompt or loop parameters.
Fallback if you encounter errors like:
Run:
ralph "<TASK PROMPT>
Success criteria:
Completion promise:
COMPLETE"
--agent opencode
--model opencode/kimi-k2.5-free
--completion-promise "COMPLETE"
--max-iterations 20
If attempt #1 fails due to model issues, rerun with:
--model opencode/minimax-m2.1-free
If attempt #2 fails:
--model opencode/glm-4.7-free
这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。
## 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 #...
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