# harness-ml

> harness-ml — msilverblatt-harness-ml. Use this tool when you need to integrate machine learning capabilities into your workflow, solving problems such as automating data analysis and model training. It provides an interface for AI agents to interact with machine learning tasks, accepting inputs like data repositories and git commits, and outputting trained models and predictions. Ideal for use cases involving automated data-driven decision making and model development.

Canonical page: https://skillsregistry.net/skills/msilverblatt-harness-ml  
JSON: https://api.skillsregistry.net/v1/skills/msilverblatt-harness-ml

## Description

An Agent-Computer Interface (ACI) for AI-driven machine learning.

## Trust

- **Trust score (0–1):** 0.73
- **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/msilverblatt/harness-ml)

## 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": "msilverblatt-harness-ml"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/msilverblatt-harness-ml` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/msilverblatt-harness-ml/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