New Provider
finch-xu/cc-router
用于在 cc-router 仓库新增一个 LLM provider（即在 src-tauri/providers/ 下添加 YAML 描述符并完成配套的同步改动）。当用户说「加 provider」「接入 XX 厂商」「新增订阅源」「provider YAML」「让 cc-router 支持 OpenRouter/Together/Groq/Ollama 之类」时必须触发本…
Intelligent AI model router that automatically switches between two configured models (local for simple tasks, cloud for complex ones).
Install AI Model Router
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-model-router -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-model-router --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-model-router .claude/skills/ai-model-router && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-model-router" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-model-router into .claude/skills/ai-model-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-model-router", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-model-routerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-model-router -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-model-router --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-model-router .agents/skills/ai-model-router && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-model-router" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-model-router into .agents/skills/ai-model-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-model-router", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-model-router -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-model-router --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-model-router .cursor/skills/ai-model-router && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-model-router" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-model-router into .cursor/skills/ai-model-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-model-router", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/ai-model-router--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-model-router -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-model-router --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-model-router .gemini/skills/ai-model-router && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-model-router" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-model-router into .gemini/skills/ai-model-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-model-router", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills ai-model-routerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-model-router -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-model-router .github/skills/ai-model-router && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-model-router" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-model-router into .github/skills/ai-model-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-model-router", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-model-router -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-model-router --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-model-router .opencode/skills/ai-model-router && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-model-router" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-model-router into .opencode/skills/ai-model-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-model-router", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-model-router- GitHub stars
- 2.2k
- Token cost
- ~811 tokens
- SKILL.md length
- 156 words
- Files
- 7
- Skills in repo
- 1,235
- Repo updated
- First seen
- Licence
- MIT
At a glance
Intelligent AI model router that automatically switches between two configured models (local for simple tasks, cloud for complex ones).
- Users ask to switch model
- SKILL.md covers Quick Start, How It Works, Scoring (from… and Features, plus 6 more sections
- Runs Python scripts from its folder; calls python3 and npx
- Use local/cloud model
What it does
AI Model Router is an agent skill from LeoYeAI/openclaw-master-skills. Intelligent AI model router that automatically switches between two configured models (local for simple tasks, cloud for complex ones). Detects local models (Ollama, LM Studio) automatically, routes based on task complexity and privacy. Use when users ask to "switch model", "use local/cloud model", or mention API keys/passwords (triggers privacy mode). Trigger on: sensitive data detection (forces local), complex tasks like "design architecture" (uses cloud), or configuration requests.
Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files (for example `.clawhub/origin.json`, `_meta.json` and `package.json`).
It sits in AI & LLM Engineering, covering Model routing and gateways and LLM inference and serving. It works with Ollama. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
When your agent uses it
- Users ask to switch model
- Use local/cloud model
- Mention API keys/passwords (triggers privacy mode)
- : sensitive data detection (forces local)
Example prompts
- “switch model”
- “use local/cloud model”
- “design architecture”
- “/ai-model-router”
Requirements
- Python 3
- Node.js
What it can do on your machine
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
python3npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
AI Model Router loads about 811 tokens when it runs. Until then it costs about 126 tokens; SKILL.md has 156 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 156 words, ~811 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-model-router/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- ai-model-router
- description
- Intelligent AI model router that automatically switches between two configured models (local for simple tasks, cloud for complex ones). Detects local models (Ollama, LM Studio) automatically, routes based on task complexity and privacy. Use when users ask to "switch model", "use local/cloud model", or mention API keys/passwords (triggers privacy mode). Trigger on: sensitive data detection (forces local), complex tasks like "design architecture" (uses cloud), or configuration requests.
- version
- 1.0.0
AI Model Router
Compact, intelligent model routing that just works.
Quick Start
# Install
npx clawhub@latest install ai-model-router
# First run - auto-detects your models
python3 skill/core/router.py "What is Python?"
# List available models
python3 skill/core/router.py --listHow It Works
Your Request → Analyze → Select Model
↓
Simple? → Primary (fast/cheap)
Complex? → Secondary (capable)
Private? → Primary (forced)Scoring (from model-router-premium)
| Pattern | Points |
|---|---|
| Microservices, architecture | +10 |
| Design, implement, optimize | +5 |
| Explain, analyze, compare | +3 |
| Syntax, example, "what is" | -3 |
Threshold: 5 (simple vs complex)
Features
| Feature | Status |
|---|---|
| Auto-detect local models | ✓ (Ollama, LM Studio) |
| Cloud model registry | ✓ (7 built-in) |
| Privacy detection | ✓ (API keys, passwords) |
| Context tracking | ✓ (conversations) |
| JSON config | ✓ (optional) |
| CLI interface | ✓ |
| Core code size | ~200 lines |
CLI
# Route a task
python3 skill/core/router.py "Design a system"
python3 skill/core/router.py "What is a for loop?"
# Options
--json # JSON output
--force primary # Force primary model
--list # List all models
--status # Show statusPython API
from skill.core.router import RouterCore
router = RouterCore()
result = router.route("Design microservices")
print(result.model_name) # "Claude Opus 4"
print(result.reason) # "complex_task(score=15)"
print(result.confidence) # 0.75Configuration (Optional)
Create ~/.model-router/models.json:
{
"primary_model": {"id": "ollama:llama3:8b"},
"secondary_model": {"id": "anthropic:claude-opus-4"},
"models": [...]
}Without config: Auto-detects local + uses cloud registry.
Privacy Protection
Automatically forces primary (local) when sensitive data detected:
- API keys (
sk-...,api_key) - Passwords (
password,passwd) - Tokens (
bearer,secret) - Emails, SSN, credit cards
Files
core/router.py- Core routing engine (~200 lines)modules/detector.py- Auto-detection (optional)modules/context.py- Context tracking (optional)
Inspired By
- model-router-premium: Simple scoring logic, cost-aware routing
- Model Router v1: Full feature set, documentation
This version combines:
- The simplicity of model-router-premium (~200 lines)
- The features of ai-model-router (privacy, auto-detect, context)
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files in skills/ai-model-router of LeoYeAI/openclaw-master-skills.
- SKILL.md
- .clawhub/origin.json
- _meta.json
- package.json
- skill/context.py
- skill/detector.py
- skill/router.py
Open the folder on GitHubat commit e5199b5
Compare with similar skills
AI Model Router next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Model Router this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~811 | Automated safety check: Pass | MIT | |
| New Providerfinch-xu/cc-router | 277 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Configuring Visionoxbshw/watch-skill | 470 | — | ~509 | Automated safety check: Notes | MIT | |
| QuorumDetrol/quorum-cli | 119 | — | ~807 | Automated safety check: Notes | Custom licence | |
| NanoClaw Ollama Providernanocoai/nanoclaw | 31k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Local LLM Routerhoodini/ai-agents-skills | 282 | — | ~20k | Automated safety check: Pass | None |
Similar skills
Configuring Vision
oxbshw/watch-skill
The user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter", wants local Ollama, or needs different cheap and strong models.
Quorum
Detrol/quorum-cli
Run a structured debate between agent CLIs (claude, codex, agy, grok) and the user's configured API or local models (OpenAI, Anthropic, Google, xAI, OpenRouter, Ollama and more) through the Quorum…
NanoClaw Ollama Provider
nanocoai/nanoclaw
Routes a NanoClaw agent group to a local Ollama model instead of the Anthropic API, using environment overrides and an optional block on Anthropic hosts.
Local LLM Router
hoodini/ai-agents-skills
Route AI coding queries to local LLMs in air-gapped networks.
Claudish Usage
MadAppGang/claudish
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with any AI model (OpenRouter, Gemini, OpenAI, local models).
More from LeoYeAI/openclaw-master-skills
All 1,200 skills in this repoDevOps Pipeline Management
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
Feishu Document Collaboration
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
Files Memory System
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
GEO-Claw AI Visibility Agent
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
Google Workspace CLI
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
HealthFit Health Advisors
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Related
Works with
Categories
Questions about AI Model Router
What does AI Model Router do?
Intelligent AI model router that automatically switches between two configured models (local for simple tasks, cloud for complex ones). AI Model Router is an agent skill from LeoYeAI/openclaw-master-skills. Intelligent AI model router that automatically switches between two configured models (local for simple tasks, cloud for complex ones).
When should I use AI Model Router?
AI Model Router fits situations like: users ask to switch model; use local/cloud model; mention API keys/passwords (triggers privacy mode); : sensitive data detection (forces local).
How do I install AI Model Router in Claude Code?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill ai-model-router -a claude-code`. Or copy the skill folder (skills/ai-model-router in LeoYeAI/openclaw-master-skills) into .claude/skills/ai-model-router in your project. Claude Code loads it when a task matches its description.
How do I install AI Model Router in Codex?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill ai-model-router -a codex`. Or copy the skill folder (skills/ai-model-router in LeoYeAI/openclaw-master-skills) into .agents/skills/ai-model-router in your project. Codex loads it when a task matches its description.
Can I use AI Model Router in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill ai-model-router -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-model-router, .gemini/skills/ai-model-router, .github/skills/ai-model-router and .opencode/skills/ai-model-router in your project.
What does AI Model Router need to run?
Going by SKILL.md and its folder, AI Model Router needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and npx). Our summary lists: Python 3; Node.js.
Does AI Model Router access the network?
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is AI Model Router safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does AI Model Router use?
AI Model Router is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI Model Router use?
About 811 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to AI Model Router?
Skills that share tags, products or a category with AI Model Router: New Provider (finch-xu/cc-router, 277 stars), Configuring Vision (oxbshw/watch-skill, 470 stars), Quorum (Detrol/quorum-cli, 119 stars) and NanoClaw Ollama Provider (nanocoai/nanoclaw, 31k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Model Router?
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.