Model Hierarchy
zscole/model-hierarchy-skill
Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity.
A comprehensive AI model routing system that automatically selects the optimal model for any task.
Install Model Router
$ npx skills add sundial-org/awesome-openclaw-skills --skill model-router -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills 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/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/model-router .claude/skills/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 "model-router" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/model-router into .claude/skills/model-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/sundial-org/awesome-openclaw-skills/tree/main/skills/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 sundial-org/awesome-openclaw-skills --skill model-router -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills model-router --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/model-router .agents/skills/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 "model-router" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/model-router into .agents/skills/model-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 sundial-org/awesome-openclaw-skills --skill model-router -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills model-router --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/model-router .cursor/skills/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 "model-router" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/model-router into .cursor/skills/model-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/sundial-org/awesome-openclaw-skills.git --path skills/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 sundial-org/awesome-openclaw-skills --skill model-router -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills model-router --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/model-router .gemini/skills/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 "model-router" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/model-router into .gemini/skills/model-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 sundial-org/awesome-openclaw-skills 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 sundial-org/awesome-openclaw-skills --skill model-router -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/model-router .github/skills/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 "model-router" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/model-router into .github/skills/model-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 sundial-org/awesome-openclaw-skills --skill 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 sundial-org/awesome-openclaw-skills model-router --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/model-router .opencode/skills/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 "model-router" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/model-router into .opencode/skills/model-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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
model-router- GitHub stars
- 663
- Token cost
- ~2.2k tokens
- SKILL.md length
- 600 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- None found
At a glance
A comprehensive AI model routing system that automatically selects the optimal model for any task.
- Works in 3 steps: Run the Setup Wizard → Use the Classifier → Route Tasks with Sessions
- You need use X model for this
- SKILL.md covers 🎯 What It Does, 🚀 Quick Start, 📊 Supported Providers and 🎛️ Task Type Mappings, plus 6 more sections
- Runs Python scripts from its folder; calls python3 and pip3; needs ANTHROPIC_API_KEY and OPENAI_API_KEY
What it does
Model Router is an agent skill from sundial-org/awesome-openclaw-skills. 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…
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/USAGE_EXAMPLES.md`, `references/model-specs.md` and `scripts/classify_task.py`).
It sits in AI & LLM Engineering, covering Model routing and gateways. It works with Zhipu GLM and OpenAI. The repository describes itself as: Top OpenClaw skills, with the most popular and useful ones.
When your agent uses it
- You need use X model for this
- Which model should I use
- Balance quality vs cost across multiple AI providers
Example prompts
- “use X model for this”
- “switch model”
- “optimal model”
- “/model-router”
Requirements
- Python 3
- A credential in ANTHROPIC_API_KEY
- A credential in OPENAI_API_KEY
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Run the Setup Wizard
- Use the Classifier
- Route Tasks with Sessions
What it can do on your machine
Read from SKILL.md and the folder at commit b80cde2. 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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pip3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.anthropic.complatform.openai.comai.google.devplatform.moonshot.cnapi.z.aiopen.bigmodel.cn
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
ANTHROPIC_API_KEYOPENAI_API_KEYGEMINI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Model Router loads about 2.2k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 142 tokens; SKILL.md has 600 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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 600 words (~2,197 tokens).
“Intelligent AI model routing across multiple providers for optimal cost-performance balance.”
- name
- model-router
- version
- 1.1.0
Files
SKILL.md and 4 other files (scripts, references) in skills/model-router of sundial-org/awesome-openclaw-skills.
- SKILL.md
- references/USAGE_EXAMPLES.md
- references/model-specs.md
- scripts/classify_task.py
- scripts/setup-wizard.py
Open the folder on GitHubat commit b80cde2
Compare with similar skills
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 |
|---|---|---|---|---|---|---|
| Model Router this skillsundial-org/awesome-openclaw-skills | 663 | — | ~2.2k | Automated safety check: Pass | None | |
| Model Hierarchyzscole/model-hierarchy-skill | 346 | — | ~2.3k | Automated safety check: Pass | MIT | |
| 9Router AI Gateway Setupdecolua/9router | 30k | — | ~744 | Automated safety check: Pass | MIT | |
| Higress Openclaw Integrationhigress-group/higress | 9.5k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| 9Router Chat Completionsdecolua/9router | 30k | — | ~635 | Automated safety check: Pass | MIT | |
| Agent Squad Python Guide2FastLabs/agent-squad | 7.8k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
Similar skills
9Router AI Gateway Setup
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Sets up access to the 9Router AI gateway, an OpenAI-compatible REST endpoint for chat, images, speech, embeddings, web search and web fetch, and indexes its capability skills.
Higress Openclaw Integration
higress-group/higress
Deploy and configure Higress AI Gateway for OpenClaw integration.
9Router Chat Completions
decolua/9router
Sends chat and code-generation requests through a 9Router gateway using OpenAI or Anthropic message formats, with streaming and auto-fallback combos.
Agent Squad Python Guide
2FastLabs/agent-squad
Map of the agent-squad Python framework for async multi-agent orchestration: which agent, classifier, storage and tool provider to pick, and the pitfalls to avoid.
Embeddings via 9Router
decolua/9router
Generates vector embeddings through the 9Router /v1/embeddings endpoint, using models from providers such as OpenAI, Gemini, Mistral and Voyage for RAG and semantic search.
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Related
Categories
Questions about Model Router
What does Model Router do?
A comprehensive AI model routing system that automatically selects the optimal model for any task. Model Router is an agent skill from sundial-org/awesome-openclaw-skills. A comprehensive AI model routing system that automatically selects the optimal model for any task.
When should I use Model Router?
Model Router fits situations like: you need use X model for this; which model should I use; balance quality vs cost across multiple AI providers.
How do I install Model Router in Claude Code?
Run `npx skills add sundial-org/awesome-openclaw-skills --skill model-router -a claude-code`. Or copy the skill folder (skills/model-router in sundial-org/awesome-openclaw-skills) into .claude/skills/model-router in your project. Claude Code loads it when a task matches its description.
How do I install Model Router in Codex?
Run `npx skills add sundial-org/awesome-openclaw-skills --skill model-router -a codex`. Or copy the skill folder (skills/model-router in sundial-org/awesome-openclaw-skills) into .agents/skills/model-router in your project. Codex loads it when a task matches its description.
Can I use 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 sundial-org/awesome-openclaw-skills --skill 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/model-router, .gemini/skills/model-router, .github/skills/model-router and .opencode/skills/model-router in your project.
What does Model Router need to run?
Going by SKILL.md and its folder, Model Router needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and pip3) and credentials named ANTHROPIC_API_KEY, OPENAI_API_KEY and GEMINI_API_KEY. Our summary lists: Python 3; A credential in ANTHROPIC_API_KEY; A credential in OPENAI_API_KEY.
Does Model Router access the network?
SKILL.md names 6 domains. As links in the text: docs.anthropic.com, platform.openai.com, ai.google.dev, platform.moonshot.cn, api.z.ai and open.bigmodel.cn. This is read from the text; nothing was executed.
Is 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Model Router use?
No licence was found for Model Router or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Model Router use?
About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.9k tokens, read only when the agent opens those files.
What are the alternatives to Model Router?
Skills that share tags, products or a category with Model Router: Model Hierarchy (zscole/model-hierarchy-skill, 346 stars), 9Router AI Gateway Setup (decolua/9router, 30k stars), Higress Openclaw Integration (higress-group/higress, 9.5k stars) and 9Router Chat Completions (decolua/9router, 30k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Model Router?
sundial-org (a GitHub organization) maintains it in sundial-org/awesome-openclaw-skills, which has 663 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on March 7, 2026.
Source: sundial-org/awesome-openclaw-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.