# Chisel

> Use this tool when you need to efficiently manage file access and reduce context usage. Chisel solves problems related to large file handling and security by sending unified diffs and using targeted grep/sed, while also providing kernel-enforced path confinement to prevent accidental reads or writes. It takes file paths and access requests as input and outputs filtered or diffed file content, ideal for use cases where file size and security are a concern.

Canonical page: https://skillsregistry.net/skills/ckanthony-chisel  
JSON: https://api.skillsregistry.net/v1/skills/ckanthony-chisel

## Description

Reduce context usage on file use. Send only unified diffs instead of full files (up to 20-100× fewer tokens), and read large files with targeted grep/sed instead of full reads (up to 500×). Kernel-enforced path confinement hard-locks the agent to a configured root: no accidental reads or writes outside scope. Standalone for your file access or embed in any MCP server (Rust, Node.js, Python via

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zn7yyala4h)
- **Repository:** <https://github.com/ckanthony/Chisel>

## 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": "ckanthony-chisel"
    }
  }
}
```

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