# Files Stdio

> Use this tool when you need to securely manage and manipulate files with advanced pattern matching and content editing capabilities. It solves problems related to file integrity, search, and editing, particularly in Obsidian and Markdown workflows, by providing features like checksum verification, multi-mount directory support, and specialized pattern recognition. It accepts file system inputs and provides outputs through a command-line interface with dry-run previews and safety mechanisms to prevent directory traversal attacks.

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

## Description

Provides sandboxed file system access with advanced pattern matching and content manipulation capabilities. Features checksum-based file integrity verification, multi-mount directory support, and specialized tools for Obsidian/Markdown workflows including wikilink, tag, and task pattern recognition. Supports line-based and pattern-based file editing with dry-run previews, comprehensive search across directories with regex and fuzzy matching modes, and built-in safety mechanisms to prevent directory traversal attacks.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/iceener-files-stdio)
- **Repository:** <https://github.com/iceener/files-stdio-mcp-server>

## 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": "iceener-files-stdio"
    }
  }
}
```

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