# Gretl

> Use this tool when you need to perform econometric analysis and modeling tasks, such as running regressions and generating dataset summaries, and integrate them into your AI workflow. It solves problems related to data analysis, statistical modeling, and data visualization by providing a command-line interface to the Gretl package. The tool takes Hansl scripts and dataset inputs, and outputs results, summaries, and graph screenshots, making it ideal for use cases that require automated econometric tasks and data-driven insights.

Canonical page: https://skillsregistry.net/skills/gh-ondrejlapes-gretl  
JSON: https://api.skillsregistry.net/v1/skills/gh-ondrejlapes-gretl

## Description

Enables AI agents to drive Gretl, the open-source econometrics package, through its command-line interface. Supports executing Hansl scripts, running OLS regressions, generating dataset summaries, managing packages, and capturing graph screenshots. Requires a local Gretl 2026b or newer installation and communicates via gretlcli.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-ondrejlapes-gretl)
- **Repository:** <https://github.com/ondrejlapes/gretlmcp>

## 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": "gh-ondrejlapes-gretl"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-ondrejlapes-gretl` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-ondrejlapes-gretl/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