# ultra-agent-stinct

> ultra-agent-stinct — grimmjoww-ultra-agent-stinct. Use this tool when you need to debug and optimize internal code, identify errors, and improve overall system performance. The ultra-agent-stinct tool provides internal debugging and coding capabilities, solving problems related to code efficiency and reliability. It takes in system logs and code snippets as inputs and outputs detailed error reports and optimized code suggestions.

Canonical page: https://skillsregistry.net/skills/grimmjoww-ultra-agent-stinct  
JSON: https://api.skillsregistry.net/v1/skills/grimmjoww-ultra-agent-stinct

## Description

Internal debugging and coding skill.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/grimmjoww-ultra-agent-stinct)

## 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": "grimmjoww-ultra-agent-stinct"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/grimmjoww-ultra-agent-stinct` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/grimmjoww-ultra-agent-stinct/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
