# io.github.imankha/log-reducer

> Use this tool when you need to simplify complex log files for AI analysis, reducing token count by 50-90% through 18 deterministic transforms. It solves problems of log file verbosity, making it easier for AI agents to consume and process log data. The tool takes log files as input and outputs reduced log files, ideal for use cases where log data needs to be preprocessed for AI-driven insights.

Canonical page: https://skillsregistry.net/skills/io-github-imankha-log-reducer  
JSON: https://api.skillsregistry.net/v1/skills/io-github-imankha-log-reducer

## Description

Reduces log files for AI consumption — 50-90% token reduction via 18 deterministic transforms.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.imankha%2Flog-reducer)
- **Repository:** <https://github.com/launch-it-labs/log-reducer>

## 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": "io-github-imankha-log-reducer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-imankha-log-reducer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-imankha-log-reducer/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