# omegaprompt

> omegaprompt — hibou04-ops-omegaprompt. Use this tool when you need to validate the generalizability of winning prompts and prevent overfitting. It solves the problem of prompts performing well on training data but failing on unseen examples by re-testing them on held-out data. The omegaprompt tool takes in prompts and held-out examples as input and outputs a pass or fail signal, integrating with CLI, MCP, and CI interfaces.

Canonical page: https://skillsregistry.net/skills/hibou04-ops-omegaprompt  
JSON: https://api.skillsregistry.net/v1/skills/hibou04-ops-omegaprompt

## Description

The overfit gate for your prompts: re-test the winning prompt on held-out examples it never tuned on, and block the ship if it doesn't generalize. Sits on top of promptfoo/DSPy. CLI + MCP + CI.

## 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:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/hibou04-ops/omegaprompt)

## 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": "hibou04-ops-omegaprompt"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hibou04-ops-omegaprompt` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hibou04-ops-omegaprompt/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
