# context-clean-up

> context-clean-up — phenomenoner-context-clean-up. Use this tool when you need to optimize OpenClaw performance by removing unnecessary prompt context, solving issues like slow replies, high costs, and repeated transcript noise, with input of bloated context and output of cleaned-up context for more efficient processing. It streamlines the conversation flow, reducing unnecessary data and improving overall response quality. Ideal for use when noticing performance degradation or excessive costs in OpenClaw interactions.

Canonical page: https://skillsregistry.net/skills/phenomenoner-context-clean-up  
JSON: https://api.skillsregistry.net/v1/skills/phenomenoner-context-clean-up

## Description

Use when: you suspect OpenClaw prompt context is bloating (slow replies, high cost, repeated transcript noise)

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/phenomenoner-context-clean-up)

## 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": "phenomenoner-context-clean-up"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/phenomenoner-context-clean-up` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/phenomenoner-context-clean-up/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