# genpark-adversarial-prompt-jailbreak-detector-skill

> genpark-adversarial-prompt-jailbreak-detector-skill — alpha-park-genpark-adversarial-prompt-jailbreak-detector-skill. Use this tool when you need to detect and prevent adversarial prompt jailbreaks in AI systems, solving problems related to framing evasion, hypothetical bypasses, and token smuggling. It analyzes input prompts to identify potential security threats, providing output warnings and flags for suspicious activity. Ideal for use in AI model development and deployment contexts where security and integrity are paramount.

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

## Description

Adversarial prompt jailbreak detector analyzing framing evasion, hypothetical bypasses, and token smuggling

## 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/Alpha-Park/genpark-adversarial-prompt-jailbreak-detector-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-adversarial-prompt-jailbreak-detector-skill"
    }
  }
}
```

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