# lousy-agents

> lousy-agents — zpratt-lousy-agents. Use this tool when you need to bootstrap projects with pre-configured instructions and tests to guide AI coding agents. It solves the problem of ensuring reliable code production by providing a structured foundation for development, complete with linters and tests. Ideal for initializing new projects, it takes in project requirements as input and outputs a fully configured git repository ready for AI agent coding.

Canonical page: https://skillsregistry.net/skills/zpratt-lousy-agents  
JSON: https://api.skillsregistry.net/v1/skills/zpratt-lousy-agents

## Description

Bootstrap projects with pre-configured instructions, tests, and linters that guide AI coding agents to produce reliable code

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/zpratt/lousy-agents)

## 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": "zpratt-lousy-agents"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zpratt-lousy-agents` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zpratt-lousy-agents/pull`

---
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