# flameox

> flameox — morluto-flameox. Use this tool when you need to analyze and compare local performance data without exposing sensitive code or data. Flameox enables querying, comparison, and auditing of profiler traces, benchmarks, and memory captures through CLI and MCP interfaces. Ideal for debugging and optimizing applications while maintaining data privacy and security.

Canonical page: https://skillsregistry.net/skills/morluto-flameox  
JSON: https://api.skillsregistry.net/v1/skills/morluto-flameox

## Description

Enables coding agents to query, compare, and audit local profiler traces, benchmarks, memory captures, and execution evidence without uploading code or data, using CLI and MCP interfaces.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gs0k0w0nmu)
- **Repository:** <https://github.com/morluto/flameox>

## 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": "morluto-flameox"
    }
  }
}
```

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