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.
Install
mkdir -p .claude/skills/freeride-opencode && curl -L -o skill.zip "https://mcp.directory/api/skills/download/3557" && unzip -o skill.zip -d .claude/skills/freeride-opencode && rm skill.zipInstalls to .claude/skills/freeride-opencode
About this skill
Freeride OpenCode
Configure OpenCode Zen free models with intelligent fallbacks to optimize costs while maintaining reliability.
⚠️ 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"
}
}
}
}
🔑 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-freeopencode/kimi-k2.5-freeopencode/glm-4.7-freeopencode/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 → tries next OpenCode fallback or OpenRouter model
- If OpenRouter models fail → 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 Type | Recommended Model | Rationale |
|---|---|---|
| Primary/General | MiniMax M2.1 Free | Best free model capability |
| Fallback 1 | Trinity Large Free | Different provider (OpenRouter) for rate limit resilience |
| Fallback 2 | Kimi K2.5 Free | General purpose, balance |
| Heartbeat | GLM 4.7 Free | Multilingual, cost-effective for frequent checks |
| Subtasks/Subagents | Kimi K2.5 Free | Balanced capability for secondary tasks |
Free Models Available
| Model | ID | Best For |
|---|---|---|
| MiniMax M2.1 Free | opencode/minimax-m2.1-free | Complex reasoning, coding (Primary) |
| Trinity Large Free | openrouter/arcee-ai/trinity-large-preview:free | High-quality OpenRouter option (Fallback 1) |
| Kimi K2.5 Free | opencode/kimi-k2.5-free | General purpose, balance (Fallback 2) |
Fallback Strategy
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 → tries OpenRouter fallback first (Trinity Large), then back to OpenCode (Kimi)
- If OpenRouter model fails → tries OpenCode fallback (Kimi)
- This cross-provider approach ensures at least one model is usually available
Per-Task Configuration
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-freeoropenrouter/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
References
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.
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