# glm-autoroute

> glm-autoroute — raufimusaddiq-glm-autoroute. Use this tool when you need to optimize binary model routing for ZAI GLM models, solving problems of inefficient task allocation between lightweight and heavyweight tasks. It takes in model specifications and task requirements as inputs and outputs optimized routing decisions. Use glm-autoroute in contexts where dynamic task allocation is crucial for efficient model performance.

Canonical page: https://skillsregistry.net/skills/raufimusaddiq-glm-autoroute  
JSON: https://api.skillsregistry.net/v1/skills/raufimusaddiq-glm-autoroute

## Description

Binary model routing for ZAI GLM models - lightweight vs heavyweight tasks.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** productivity
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/raufimusaddiq-glm-autoroute)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "raufimusaddiq-glm-autoroute"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raufimusaddiq-glm-autoroute` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raufimusaddiq-glm-autoroute/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt