Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Model Router
Route model requests based on configured models, costs and task complexity. Use for routing general/low-complexity requests to the cheapest available model and for higher-complexity requests to stronger models.
skill openclawclawhub Free
Route model requests based on configured models, costs and task complexity. Use for routing general/low-complexity requests to the cheapest available model and for higher-complexity requests to stronger models.
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, examples/models.json, scripts/router.py
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
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.1
Provenance
- Publisher
- MrJootta
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
model-router
This skill provides a compact, runnable router that inspects an OpenClaw-style configuration (or a simple models JSON) and selects an appropriate model for an incoming request based on: declared model capabilities and an optional cost score task complexity (heuristic: short/simple vs long/complex) explicit overrides (user or caller hints) Design principles Keep decision logic small and deterministic. Default to the cheapest model for general, not-complex tasks. Escalate to stronger models when the task appears complex or asks for high-fidelity results. Make model metadata explicit (capabilities, cost_score, tags) so the router is transparent and auditable. What this skill includes scripts/router.py β a small CLI and library to pick a model given a task description and a models configuration file. examples/models.json β example model configurations (name, provider, cost_score, capabilities). When to use Trigger when you need to programmatically choose which LLM to call for a user request. Use for batching or middleware routing in server apps. Usage (quick) Prepare a models file (JSON) with model entries. See examples/models.json. Call: python3 scripts/router.py --models examples/models.json --task "Summarize this email" --mode auto The script prints the chosen model and the reasoning. Files scripts/router.py β router CLI/library examples/models.json β sample model list
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 Docs1 Scripts1 Config
- SKILL.md
- scripts/router.py
- examples/models.json