# funky-fund-flamingo

> funky-fund-flamingo — icemastert-funky-fund-flamingo. Use this tool when you need to optimize and refine OpenClaw's performance by auditing logs, memory, and skills, and running measurable mutation cycles to achieve self-evolution. It solves problems related to system inefficiencies and errors by identifying and repairing issues through a repair-first approach. The tool accepts input from OpenClaw's systems and outputs optimized performance and refined skills.

Canonical page: https://skillsregistry.net/skills/icemastert-funky-fund-flamingo  
JSON: https://api.skillsregistry.net/v1/skills/icemastert-funky-fund-flamingo

## Description

Repair-first self-evolution for OpenClaw — audit logs, memory, and skills; run measurable mutation cycles.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/icemastert-funky-fund-flamingo)

## 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": "icemastert-funky-fund-flamingo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/icemastert-funky-fund-flamingo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/icemastert-funky-fund-flamingo/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