# genpark-negative-hypothesis-failed-patch-indexer-skill

> genpark-negative-hypothesis-failed-patch-indexer-skill — alphaparkinc-genpark-negative-hypothesis-failed-patch-indexer-skill. Use this tool when you need to prevent loops in code repositories by indexing failed patches and negative hypotheses, utilizing git capabilities to streamline the development process and improve code quality. It solves problems related to iterative coding and patch management, providing a robust interface for inputting and outputting patch data. Ideal for use in coding projects where version control and efficient patch management are crucial.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-negative-hypothesis-failed-patch-indexer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-negative-hypothesis-failed-patch-indexer-skill

## Description

Negative hypothesis & failed patch indexer preventing loops (Codex Astra)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-negative-hypothesis-failed-patch-indexer-skill)

## 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": "alphaparkinc-genpark-negative-hypothesis-failed-patch-indexer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-negative-hypothesis-failed-patch-indexer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-negative-hypothesis-failed-patch-indexer-skill/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