Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Freeride Opencode
Configure and optimize OpenCode Zen free models with smart fallbacks for subtasks, heartbeat, and cron jobs. Use when setting up cost-effective AI model routing with automatic failover between free models.
skill openclawclawhub Free
Configure and optimize OpenCode Zen free models with smart fallbacks for subtasks, heartbeat, and cron jobs. Use when setting up cost-effective AI model routing with automatic failover between free models.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
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- Open the source page and confirm the package flow manually.
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Package facts
- Download mode
- Manual review
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- PLAN.md, README.md, SKILL.md, SPECIFICATION.md, TASKS.md, examples/usage.md
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.2.0
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- Heldinhow
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Documentation
Freeride OpenCode
Configure OpenCode Zen free models with intelligent fallbacks to optimize costs while maintaining reliability. β οΈ Important: To use this skill, you need two API keys: OpenCode Zen API key - For OpenCode free models (MiniMax M2.1, Kimi K2.5, GLM 4.7, GPT 5 Nano) OpenRouter API key - For OpenRouter free models (Trinity Large and other OpenRouter providers) Configure both keys in your OpenCode/Zen settings before applying these configurations.
Quick Start
Apply optimal free model configuration with provider diversification: { "agents": { "defaults": { "model": { "primary": "opencode/minimax-m2.1-free", "fallbacks": [ "openrouter/arcee-ai/trinity-large-preview:free", "opencode/kimi-k2.5-free" ] }, "heartbeat": { "model": "opencode/glm-4.7-free" }, "subagents": { "model": "opencode/kimi-k2.5-free" } } } }
π API Keys Required
This skill uses models from two different providers, so you need both API keys configured:
1. OpenCode Zen API Key
Required for: opencode/minimax-m2.1-free opencode/kimi-k2.5-free opencode/glm-4.7-free opencode/gpt-5-nano Where to get: Sign up at OpenCode Zen and generate an API key.
2. OpenRouter API Key
Required for: openrouter/arcee-ai/trinity-large-preview:free Any other OpenRouter free models you add Where to get: Sign up at OpenRouter.ai and generate an API key.
Configuration
Add both keys to your OpenCode configuration: { "providers": { "opencode": { "api_key": "YOUR_OPENCODE_ZEN_API_KEY" }, "openrouter": { "api_key": "YOUR_OPENROUTER_API_KEY" } } }
Fallback Behavior by Provider
If OpenCode models fail β tries next OpenCode fallback or OpenRouter model If OpenRouter models fail β tries next OpenRouter or OpenCode fallback Configure both providers for maximum reliability
Model Selection Guide
See models.md for detailed model comparisons, capabilities, and provider information. Task TypeRecommended ModelRationalePrimary/GeneralMiniMax M2.1 FreeBest free model capabilityFallback 1Trinity Large FreeDifferent provider (OpenRouter) for rate limit resilienceFallback 2Kimi K2.5 FreeGeneral purpose, balanceHeartbeatGLM 4.7 FreeMultilingual, cost-effective for frequent checksSubtasks/SubagentsKimi K2.5 FreeBalanced capability for secondary tasks
Free Models Available
ModelIDBest ForMiniMax M2.1 Freeopencode/minimax-m2.1-freeComplex reasoning, coding (Primary)Trinity Large Freeopenrouter/arcee-ai/trinity-large-preview:freeHigh-quality OpenRouter option (Fallback 1)Kimi K2.5 Freeopencode/kimi-k2.5-freeGeneral purpose, balance (Fallback 2)
Provider Diversification (v1.2.0)
This version implements provider diversification to maximize resilience against rate limits and service disruptions: "fallbacks": [ "openrouter/arcee-ai/trinity-large-preview:free", // Different provider (OpenRouter) "opencode/kimi-k2.5-free" // Same provider as primary (OpenCode) ] Why Provider Diversification Matters: Rate limit isolation: If OpenCode experiences rate limits, OpenRouter models remain available (and vice versa) First fallback from different provider: Trinity Large on OpenRouter ensures continuity even if all OpenCode models are rate-limited Maximum resilience: By spreading across providers, you avoid a single point of failure Fallback triggers: Rate limits exceeded Auth failures Timeouts Provider unavailability
Fallback Behavior by Provider
If OpenCode models fail β tries OpenRouter fallback first (Trinity Large), then back to OpenCode (Kimi) If OpenRouter model fails β tries OpenCode fallback (Kimi) This cross-provider approach ensures at least one model is usually available
Heartbeat (Every 30 min)
"heartbeat": { "every": "30m", "model": "opencode/gpt-5-nano" } Use the cheapest model for frequent, lightweight checks.
Subtasks/Subagents
"subagents": { "model": "opencode/kimi-k2.5-free" } Good balance for secondary tasks that need reasonable capability.
Complete Example
{ "agents": { "defaults": { "model": { "primary": "opencode/minimax-m2.1-free", "fallbacks": [ "openrouter/arcee-ai/trinity-large-preview:free", "opencode/kimi-k2.5-free" ] }, "models": { "opencode/minimax-m2.1-free": { "alias": "MiniMax M2.1" }, "opencode/kimi-k2.5-free": { "alias": "Kimi K2.5" }, "openrouter/arcee-ai/trinity-large-preview:free": { "alias": "Trinity Large" } }, "heartbeat": { "every": "30m", "model": "opencode/glm-4.7-free" }, "subagents": { "model": "opencode/kimi-k2.5-free" } } } }
Applying Configuration
Use OpenClaw CLI: openclaw config.patch --raw '{ "agents": { "defaults": { "model": { "primary": "opencode/minimax-m2.1-free", "fallbacks": ["openrouter/arcee-ai/trinity-large-preview:free", "opencode/kimi-k2.5-free"] }, "heartbeat": { "model": "opencode/glm-4.7-free" }, "subagents": { "model": "opencode/kimi-k2.5-free" } } } }'
Best Practices
Provider diversification - Always have your first fallback from a different provider (e.g., OpenRouter) to avoid rate limits affecting all models Keep fallbacks minimal - 2-3 well-chosen fallbacks are better than many Match model to task - Don't use MiniMax for simple checks Test fallback order - Put more capable models first, with provider diversification Monitor usage - Track which models get used most
Troubleshooting
Authentication errors (401/403)? Check that you have both API keys configured: OpenCode Zen API key for OpenCode models OpenRouter API key for Trinity Large and OpenRouter models Verify keys are valid and have not expired Rate limits still occurring? Add provider diversification (ensure first fallback is from different provider) Consider reducing heartbeat frequency Responses too slow? Move GPT 5 Nano higher in fallback chain Use simpler model for subtasks Model not available? Check model ID format: opencode/model-id-free or openrouter/provider/model:free Verify model is still free (check models.md) Ensure you have the correct API key for the provider OpenRouter models not working? Verify OpenRouter API key is configured Check OpenRouter account has credits/access Some models may have additional access requirements
models.md
Complete reference of all free models with capabilities, providers, performance comparisons, and error handling.
templates.md
Ready-to-use configuration templates for different use cases (minimal, complete, cost-optimized, performance-optimized).
examples/usage.md
Practical examples showing how to use this skill in real scenarios.
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
6 Docs
- SKILL.md
- examples/usage.md
- PLAN.md
- README.md
- SPECIFICATION.md
- TASKS.md