# LogHarvester

> LogHarvester — average-enjoyer-logharvester. Use this tool when you need to efficiently collect logs from multiple sources, especially when requiring date-specific data or remote access via SSH. LogHarvester solves the problem of manual log extraction by providing an interactive CLI interface that accepts source and date inputs and outputs filtered logs. It is ideal for use cases involving multi-source log analysis, troubleshooting, and auditing.

Canonical page: https://skillsregistry.net/skills/average-enjoyer-logharvester  
JSON: https://api.skillsregistry.net/v1/skills/average-enjoyer-logharvester

## Description

Interactive CLI log extractor with date filtering and SSH support for efficient multi-source log collection.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **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/average-enjoyer/LogHarvester)

## 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": "average-enjoyer-logharvester"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/average-enjoyer-logharvester` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/average-enjoyer-logharvester/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