# utf8

> utf8 — hegner123-utf8. Use this tool when you need to detect and fix corrupted UTF-16/BOM files to convert them to clean UTF-8 format. It solves character encoding issues in text files, ensuring compatibility and readability. The tool accepts corrupted files as input and outputs cleaned UTF-8 files, making it ideal for use in git workflows and text processing pipelines.

Canonical page: https://skillsregistry.net/skills/hegner123-utf8  
JSON: https://api.skillsregistry.net/v1/skills/hegner123-utf8

## Description

Detect and fix corrupted UTF-16/BOM files to clean UTF-8. MCP server (stdio) and CLI tool.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/hegner123/utf8)

## 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": "hegner123-utf8"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hegner123-utf8` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hegner123-utf8/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