# painpoints

> painpoints — prodbirdy-painpoints. Use this tool when you need to identify and score architectural issues in a codebase, solving problems related to complexity, security, and maintainability. It analyzes code files based on layering, data access, failure handling, and other factors, providing a ranked JSON output. Ideal for use in git-based development workflows, particularly when integrating with AI coding agents or MCP servers.

Canonical page: https://skillsregistry.net/skills/prodbirdy-painpoints  
JSON: https://api.skillsregistry.net/v1/skills/prodbirdy-painpoints

## Description

Find the architectural pain points in any codebase. Scores every file on layering, complexity, data access, failure handling, UI cost and trust-boundary risk against Google, Amazon and OWASP guidance. Ranked JSON for AI coding agents, an MCP server, a native viewer. Rust.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** scanned
- **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/prodBirdy/painpoints)

## 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": "prodbirdy-painpoints"
    }
  }
}
```

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