# io.github.rog0x/log

> Use this tool when you need to parse, filter, and analyze logs for AI agents, solving problems related to log data management and insight extraction. It takes log data as input and outputs filtered and analyzed results, enabling efficient log analysis and decision-making. Ideal for use cases where log data needs to be processed and understood by AI systems.

Canonical page: https://skillsregistry.net/skills/io-github-rog0x-log  
JSON: https://api.skillsregistry.net/v1/skills/io-github-rog0x-log

## Description

Log parse, filter, analyze for AI agents

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.rog0x%2Flog)
- **Repository:** <https://github.com/rog0x/mcp-log-tools>

## 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-rog0x-log"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-rog0x-log` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-rog0x-log/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