# Filesystem

> Use this tool when you need to automate file management tasks, such as reading or modifying file contents, to solve problems like data extraction, configuration updates, or code refactoring. It takes file paths, text inputs, and line numbers as inputs and produces updated files or extracted data as outputs. Ideal for use cases like saving email attachments, creating backups, or updating configuration files in various automation workflows.

Canonical page: https://skillsregistry.net/skills/domdomegg-filesystem  
JSON: https://api.skillsregistry.net/v1/skills/domdomegg-filesystem

## Description

Provides core filesystem operations including reading file contents, creating or overwriting files, replacing exact strings within files, and inserting text at specific line numbers. Supports automating tasks like saving email attachments, updating configuration files, code refactoring, and creating backups.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/domdomegg-filesystem)
- **Repository:** <https://github.com/domdomegg/filesystem-mcp>

## 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": "domdomegg-filesystem"
    }
  }
}
```

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