# Files

> Files — abhishekkumar-files. Use this tool when you need to interact with local files in a secure and controlled environment, allowing AI assistants to read, edit, and manage files within a restricted directory. It solves problems related to file management, such as data processing and organization, by providing a sandboxed interface for file operations. Ideal for use cases where local file access is required, without relying on external API calls or compromising security.

Canonical page: https://skillsregistry.net/skills/abhishekkumar-files  
JSON: https://api.skillsregistry.net/v1/skills/abhishekkumar-files

## Description

Gives AI assistants sandboxed access to the local filesystem — reading, searching, editing, copying, and archiving files — with path restrictions to prevent operations outside an approved directory. Implemented in pure JavaScript and published as one of six independently-deployable servers in a shared MCP workspace. Runs entirely locally with no external API calls.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/abhishekkumar-files)
- **Repository:** <https://github.com/abhishekkumar2021/mcp-suite/tree/HEAD/servers/files>

## 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": "abhishekkumar-files"
    }
  }
}
```

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