# vigilante

> Use this tool when you need to autonomously debug applications without modifying their code, as it records runtime events and exposes them to Large Language Models (LLMs) for analysis. Vigilante solves issues related to identifying and resolving runtime errors, providing valuable insights for improvement. It takes runtime events as input and outputs actionable data for LLMs to facilitate autonomous debugging.

Canonical page: https://skillsregistry.net/skills/retamayo-vigilante  
JSON: https://api.skillsregistry.net/v1/skills/retamayo-vigilante

## Description

Records runtime events from any app via zero-code instrumentation and exposes them to LLMs through MCP for autonomous debugging.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z1m2u6asce)
- **Repository:** <https://github.com/retamayo/vigilante>

## 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": "retamayo-vigilante"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/retamayo-vigilante` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/retamayo-vigilante/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