# Trazum

> Trazum — davmunrey-trazum. Use this tool when you need to track and manage costs associated with AI agent usage, particularly for projects with sensitive information. Trazum provides a secure, offline solution with a command-line interface, MCP server, and CI gate, allowing you to monitor costs without exposing your prompts. Ideal for projects requiring zero dependencies and git integration.

Canonical page: https://skillsregistry.net/skills/davmunrey-trazum  
JSON: https://api.skillsregistry.net/v1/skills/davmunrey-trazum

## Description

Know what your AI agents cost, per project, without your prompts leaving the machine. CLI, MCP server and CI gate. Zero dependencies, offline.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Davmunrey/Trazum)

## 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": "davmunrey-trazum"
    }
  }
}
```

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

---
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