# specdrift

> specdrift — qorpe-specdrift. Use this tool when you need to validate manifest-driven golden paths and detect configuration drift in a deterministic manner. It solves problems related to ensuring consistency and accuracy in development environments by checking invariants and identifying deviations. The tool accepts git repository data as input and outputs validation results, making it ideal for use cases where maintaining precise control over infrastructure configurations is crucial.

Canonical page: https://skillsregistry.net/skills/qorpe-specdrift  
JSON: https://api.skillsregistry.net/v1/skills/qorpe-specdrift

## Description

Deterministic spec lint for manifest-driven golden paths — validates invariants, detects drift, speaks MCP. Never calls an LLM; LLMs call it.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **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/qorpe/specdrift)

## 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": "qorpe-specdrift"
    }
  }
}
```

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