# seamcheck

> seamcheck — dardameiz-seamcheck. Use this tool when you need to identify and debug issues between your frontend and backend, or between your code and database. Seamcheck reads various frameworks such as Django, FastAPI, and Express, and databases like Supabase and Redis, providing four verdicts on potential bugs. It integrates with git, making it ideal for development teams to resolve integration problems and ensure seamless interactions between different components.

Canonical page: https://skillsregistry.net/skills/dardameiz-seamcheck  
JSON: https://api.skillsregistry.net/v1/skills/dardameiz-seamcheck

## Description

Finds the bugs between your frontend and backend, and between your code and your database. Reads Django, FastAPI, Flask, Express, Fastify, NestJS, Next.js, plus Supabase, Firebase and Redis. Four verdicts, one of which is "I don't know".

## Trust

- **Trust score (0–1):** 0.25
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/dardameiz/seamcheck)

## 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": "dardameiz-seamcheck"
    }
  }
}
```

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