# genpark-prompt-injection-jailbreak-neutralizer-skill

> genpark-prompt-injection-jailbreak-neutralizer-skill — alpha-park-genpark-prompt-injection-jailbreak-neutralizer-skill. Use this tool when you need to neutralize adversarial prompt injections and overrides in AI models, solving problems related to prompt engineering and model security. It provides a zero-dependency heuristic solution, taking in potentially malicious prompts as input and outputting neutralized prompts that prevent jailbreaking. Ideal for use cases where model integrity and security are crucial, such as in high-stakes decision-making applications.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-prompt-injection-jailbreak-neutralizer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-prompt-injection-jailbreak-neutralizer-skill

## Description

Zero-dependency heuristic adversarial prompt injection & override neutralizer (Lakera / NeMo)

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** scanned
- **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/Alpha-Park/genpark-prompt-injection-jailbreak-neutralizer-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": "alpha-park-genpark-prompt-injection-jailbreak-neutralizer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-prompt-injection-jailbreak-neutralizer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-prompt-injection-jailbreak-neutralizer-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
