Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
open-ralph
Run an autonomous Open Ralph Wiggum coding loop using OpenCode Zen with free models and automatic fallback.
skill openclawclawhub Free
Run an autonomous Open Ralph Wiggum coding loop using OpenCode Zen with free models and automatic fallback.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Bderiel
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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: opencode/kimi-k2.5-free β Best coding performance (limited time free) opencode/minimax-m2.1-free opencode/glm-4.7-free opencode/big-pickle β 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
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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md