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Open Ralph

Automates coding tasks using an autonomous loop with OpenCode, optimizing for free models and fallback options.

Installable skillMITBy kbarbel640-delUpdated Oct 30, 2026
INTENDED FOROpenClawInstall in a listed agent.

instructions.md

---
name: ralph-opencode-free-loop-23143712c0d3
description: Run an autonomous Open Ralph Wiggum coding loop using OpenCode Zen with free models and automatic fallback.
metadata:
  {
    "openclaw":
      {
        "emoji": "🔁",
        "homepage": "https://github.com/Th0rgal/open-ralph-wiggum",
        "requires": { "bins": ["opencode", "ralph", "git"] },
      },
  }
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

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Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.