Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Model Router
A comprehensive AI model routing system that automatically selects the optimal model for any task. Set up multiple AI providers (Anthropic, OpenAI, Gemini, Moonshot, Z.ai, GLM) with secure API key storage, then route tasks to the best model based on task type, complexity, and cost optimization. Includes interactive setup wizard, task classification, and cost-effective delegation patterns. Use when you need "use X model for this", "switch model", "optimal model", "which model should I use", or to balance quality vs cost across multiple AI providers.
skill openclawclawhub Free
A comprehensive AI model routing system that automatically selects the optimal model for any task. Set up multiple AI providers (Anthropic, OpenAI, Gemini, Moonshot, Z.ai, GLM) with secure API key storage, then route tasks to the best model based on task type, complexity, and cost optimization. Includes interactive setup wizard, task classification, and cost-effective delegation patterns. Use when you need "use X model for this", "switch model", "optimal model", "which model should I use", or to balance quality vs cost across multiple AI providers.
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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, references/USAGE_EXAMPLES.md, references/model-specs.md, scripts/classify_task.py, scripts/setup-wizard.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
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- Download the package from Yavira.
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New install
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Upgrade existing
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- digitaladaption
- Source page
- View original listing
- Canonical URL
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Documentation
Model Router
Intelligent AI model routing across multiple providers for optimal cost-performance balance. Automatically select the best model for any task based on complexity, type, and your preferences. Support for 6 major AI providers with secure API key management and interactive configuration.
๐ฏ What It Does
Analyzes tasks and classifies them by type (coding, research, creative, simple, etc.) Routes to optimal models from your configured providers Optimizes costs by using cheaper models for simple tasks Secures API keys with file permissions (600) and isolated storage Provides recommendations with confidence scoring and reasoning
Step 1: Run the Setup Wizard
cd skills/model-router python3 scripts/setup-wizard.py The wizard will guide you through: Provider setup - Add your API keys (Anthropic, OpenAI, Gemini, etc.) Task mappings - Choose which model for each task type Preferences - Set cost optimization level
Step 2: Use the Classifier
# Get model recommendation for a task python3 scripts/classify_task.py "Build a React authentication system" # Output: # Recommended Model: claude-sonnet # Confidence: 85% # Cost Level: medium # Reasoning: Matched 2 keywords: build, system
Step 3: Route Tasks with Sessions
# Spawn with recommended model sessions_spawn --task "Debug this memory leak" --model claude-sonnet # Use aliases for quick access sessions_spawn --task "What's the weather?" --model haiku
๐ Supported Providers
ProviderModelsBest ForKey FormatAnthropicclaude-opus-4-5, claude-sonnet-4-5, claude-haiku-4-5Coding, reasoning, creativesk-ant-...OpenAIgpt-4o, gpt-4o-mini, o1-mini, o1-previewTools, deep reasoningsk-proj-...Geminigemini-2.0-flash, gemini-1.5-pro, gemini-1.5-flashMultimodal, huge context (2M)AIza...Moonshotmoonshot-v1-8k/32k/128kChinese languagesk-...Z.aiglm-4.5-air, glm-4.7Cheapest, fastVariousGLMglm-4-flash, glm-4-plus, glm-4-0520Chinese, codingID.secret
๐๏ธ Task Type Mappings
Default routing (customizable via wizard): Task TypeDefault ModelWhysimpleglm-4.5-airFastest, cheapest for quick queriescodingclaude-sonnet-4-5Excellent code understandingresearchclaude-sonnet-4-5Balanced depth and speedcreativeclaude-opus-4-5Maximum creativitymatho1-miniSpecialized reasoningvisiongemini-1.5-flashFast multimodalchineseglm-4.7Optimized for Chineselong_contextgemini-1.5-proUp to 2M tokens
Aggressive Mode
Always uses the cheapest capable model: Simple โ glm-4.5-air (~10% cost) Coding โ claude-haiku-4-5 (~25% cost) Research โ claude-sonnet-4-5 (~50% cost) Savings: 50-90% compared to always using premium models
Balanced Mode (Default)
Considers cost vs quality: Simple tasks โ Cheap models Critical tasks โ Premium models Automatic escalation if cheap model fails
Quality Mode
Always uses the best model regardless of cost
API Key Storage
~/.model-router/ โโโ config.json # Model mappings (chmod 600) โโโ .api-keys # API keys (chmod 600) Features: File permissions restricted to owner (600) Isolated from version control Encrypted at rest (via OS filesystem encryption) Never logged or printed
Best Practices
Never commit .api-keys to version control Use environment variables for production deployments Rotate keys regularly via the wizard Audit access with ls -la ~/.model-router/
Example 1: Cost-Optimized Workflow
# Classify task first python3 scripts/classify_task.py "Extract prices from this CSV" # Result: simple task โ use glm-4.5-air sessions_spawn --task "Extract prices" --model glm-4.5-air # Then analyze with better model if needed sessions_spawn --task "Analyze price trends" --model claude-sonnet
Example 2: Progressive Escalation
# Try cheap model first (60s timeout) sessions_spawn --task "Fix this bug" --model glm-4.5-air --runTimeoutSeconds 60 # If fails, escalate to premium sessions_spawn --task "Fix complex architecture bug" --model claude-opus
Example 3: Parallel Processing
# Batch simple tasks in parallel with cheap model sessions_spawn --task "Summarize doc A" --model glm-4.5-air & sessions_spawn --task "Summarize doc B" --model glm-4.5-air & sessions_spawn --task "Summarize doc C" --model glm-4.5-air & wait
Example 4: Multimodal with Gemini
# Vision task with 2M token context sessions_spawn --task "Analyze these 100 images" --model gemini-1.5-pro
~/.model-router/config.json
{ "version": "1.1.0", "providers": { "anthropic": { "configured": true, "models": ["claude-opus-4-5", "claude-sonnet-4-5", "claude-haiku-4-5"] }, "openai": { "configured": true, "models": ["gpt-4o", "gpt-4o-mini", "o1-mini", "o1-preview"] } }, "task_mappings": { "simple": "glm-4.5-air", "coding": "claude-sonnet-4-5", "research": "claude-sonnet-4-5", "creative": "claude-opus-4-5" }, "preferences": { "cost_optimization": "balanced", "default_provider": "anthropic" } }
~/.model-router/.api-keys
# Generated by setup wizard - DO NOT edit manually ANTHROPIC_API_KEY=sk-ant-... OPENAI_API_KEY=sk-proj-... GEMINI_API_KEY=AIza...
New Features
โ Interactive setup wizard for guided configuration โ Secure API key storage with file permissions โ Task-to-model mapping customization โ Multi-provider support (6 providers) โ Cost optimization levels (aggressive/balanced/quality)
Improvements
โ Better task classification with confidence scores โ Provider-specific model recommendations โ Enhanced security with isolated storage โ Comprehensive documentation
Migration from 1.0
Run the setup wizard to reconfigure: python3 scripts/setup-wizard.py
Setup Wizard
python3 scripts/setup-wizard.py Interactive configuration of providers, mappings, and preferences.
Task Classifier
python3 scripts/classify_task.py "your task description" python3 scripts/classify_task.py "your task" --format json Get model recommendation with reasoning.
List Models
python3 scripts/setup-wizard.py --list Show all available models and their status.
๐ค Integration with Other Skills
SkillIntegrationmodel-usageTrack cost per provider to optimize routingsessions_spawnPrimary tool for model delegationsession_statusCheck current model and usage
โก Performance Tips
Start simple - Try cheap models first Batch tasks - Combine multiple simple tasks Use cleanup - Delete sessions after one-off tasks Set timeouts - Prevent runaway sub-agents Monitor usage - Track costs per provider
"No suitable model found"
Run setup wizard to configure providers Check API keys are valid Verify permissions on .api-keys file
"Module not found"
pip3 install -r requirements.txt # if needed
Wrong model selected
Customize task mappings via wizard Use explicit model in sessions_spawn --model Adjust cost optimization preference
๐ Additional Resources
Provider Docs: Anthropic OpenAI Gemini Moonshot Z.ai GLM Setup: Run python3 scripts/setup-wizard.py Support: Check references/ folder for detailed guides
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs2 Scripts
- SKILL.md
- references/model-specs.md
- references/USAGE_EXAMPLES.md
- scripts/classify_task.py
- scripts/setup-wizard.py