# forkfuzz

> forkfuzz — cognis-digital-forkfuzz. Use this tool when you need to test smart contracts for protocol invariant breaches before deployment. Forkfuzz replays contracts against live state and stateful sequences to identify potential issues, solving problems related to contract security and reliability. It takes contract code as input and outputs test results, ideal for use in development environments where contract integrity is crucial.

Canonical page: https://skillsregistry.net/skills/cognis-digital-forkfuzz  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-forkfuzz

## Description

Mainnet-fork invariant fuzzer that replays your contract against live state and stateful sequences to break protocol invariants before deploy.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/forkfuzz)

## 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": "cognis-digital-forkfuzz"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-forkfuzz` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-forkfuzz/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