# Tokenectomy

> Tokenectomy — tokenectomy-labs-tokenectomy. Use this tool when you need to scrub sensitive information from AI agent error logs, reducing framework noise and protecting secrets. Tokenectomy takes in error logs, redacts confidential data, and outputs sanitized logs, making it ideal for secure machine-to-machine communication. It's particularly useful in development contexts where error log analysis is crucial, such as in git-based workflows.

Canonical page: https://skillsregistry.net/skills/tokenectomy-labs-tokenectomy  
JSON: https://api.skillsregistry.net/v1/skills/tokenectomy-labs-tokenectomy

## Description

Autonomous M2M MCP server that scrubs framework noise & redacts secrets from AI agent error logs before they hit your context window

## Trust

- **Trust score (0–1):** 0.02
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Tokenectomy-Labs/Tokenectomy)

## 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": "tokenectomy-labs-tokenectomy"
    }
  }
}
```

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