open-ralph

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 "

Success criteria:

• Build passes

• Tests pass

Completion promise: COMPLETE" \ --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 "" \ --agent opencode \ --model opencode/kimi-k2.5-free \ --tasks \ --max-iterations 50