# genpark-automated-red-teaming-adversarial-probe-skill

> genpark-automated-red-teaming-adversarial-probe-skill — alphaparkinc-genpark-automated-red-teaming-adversarial-probe-skill. Use this tool when you need to identify vulnerabilities in systems and applications through automated adversarial probing and fuzz testing. It solves problems related to security testing and penetration testing by simulating real-world attacks to uncover potential weaknesses. The tool takes system or application inputs and outputs detailed reports of identified vulnerabilities and potential exploits.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-automated-red-teaming-adversarial-probe-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-automated-red-teaming-adversarial-probe-skill

## Description

Automated red teaming adversarial safety probe & jailbreak fuzzer

## 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-automated-red-teaming-adversarial-probe-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-automated-red-teaming-adversarial-probe-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-automated-red-teaming-adversarial-probe-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-automated-red-teaming-adversarial-probe-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