# Nightman

> Nightman — falcon305-nightman. Use this tool when you need to identify and debug issues in Python functions by generating adversarial inputs and minimizing regression tests. Nightman solves problems related to bug hunting and test case optimization, providing a robust interface for inputting Python functions and outputting minimized regression tests. It is ideal for use cases where reliability and stability of Python code are crucial, such as in development and testing environments.

Canonical page: https://skillsregistry.net/skills/falcon305-nightman  
JSON: https://api.skillsregistry.net/v1/skills/falcon305-nightman

## Description

MCP server for hunting bugs in Python functions via adversarial input generation and minimized regression tests.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ngb4vmoccq)
- **Repository:** <https://github.com/Falcon305/nightman>

## 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": "falcon305-nightman"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/falcon305-nightman` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/falcon305-nightman/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