# agented

> agented — frane-agented. Use this tool when you need to efficiently manage and edit large volumes of text data for language models, leveraging git integration for version control and collaboration. It solves problems related to text data management, such as data consistency and scalability, for LLMs. The tool accepts text inputs and produces edited text outputs, streamlining the workflow for AI model training and development.

Canonical page: https://skillsregistry.net/skills/frane-agented  
JSON: https://api.skillsregistry.net/v1/skills/frane-agented

## Description

A text editor for LLMs, not humans.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/frane/agented)

## 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": "frane-agented"
    }
  }
}
```

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

---
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