# genpark-distributed-agent-chaos-latency-fuzzer-skill

> genpark-distributed-agent-chaos-latency-fuzzer-skill — alphaparkinc-genpark-distributed-agent-chaos-latency-fuzzer-skill. Use this tool when you need to test the resilience of distributed systems by injecting latency and faults, solving problems related to network reliability and fault tolerance. It takes in system configurations and test scenarios as inputs and outputs detailed reports on system performance under chaotic conditions. Ideal for use in pre-deployment testing and quality assurance contexts to identify and mitigate potential failures.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-distributed-agent-chaos-latency-fuzzer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-distributed-agent-chaos-latency-fuzzer-skill

## Description

Distributed multi-agent chaos latency injection & fault fuzzer (Chaos Mesh)

## 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-distributed-agent-chaos-latency-fuzzer-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-distributed-agent-chaos-latency-fuzzer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-distributed-agent-chaos-latency-fuzzer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-distributed-agent-chaos-latency-fuzzer-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