# openclaw-context-doctor

> openclaw-context-doctor — fowlerjapanesespeaking973-openclaw-context-doctor. Use this tool when you need to monitor and manage your AI agent's context window to optimize token usage and prevent input limit issues. It tracks token usage before conversations begin, providing valuable insights to improve context management. Ideal for developers looking to fine-tune their AI models and prevent input-related errors.

Canonical page: https://skillsregistry.net/skills/fowlerjapanesespeaking973-openclaw-context-doctor  
JSON: https://api.skillsregistry.net/v1/skills/fowlerjapanesespeaking973-openclaw-context-doctor

## Description

Monitor your AI agent’s context window to track token usage before conversations begin, enabling better management of input limits.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Fowlerjapanesespeaking973/openclaw-context-doctor)

## 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": "fowlerjapanesespeaking973-openclaw-context-doctor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fowlerjapanesespeaking973-openclaw-context-doctor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fowlerjapanesespeaking973-openclaw-context-doctor/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