# asbuilt

> asbuilt — anijani-asbuilt. Use this tool when you need to validate code assumptions against actual backend infrastructure, ensuring that tables, schemas, and resources exist as expected. Asbuilt verifies the accuracy of these assumptions, preventing potential errors and misconfigurations. It takes in code assumptions as input and outputs verification results, making it ideal for use cases where infrastructure consistency is crucial.

Canonical page: https://skillsregistry.net/skills/anijani-asbuilt  
JSON: https://api.skillsregistry.net/v1/skills/anijani-asbuilt

## Description

Asbuilt is an MCP server that verifies code assumptions against live backend infrastructure, checking that tables, schemas, and resources exist as expected before agents act.

## Trust

- **Trust score (0–1):** 0.67
- **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/ibzvbt03o2)
- **Repository:** <https://github.com/aniJani/asbuilt>

## 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": "anijani-asbuilt"
    }
  }
}
```

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