# nova

> nova — teamspwk-nova. Use this tool when you need to ensure the quality and reliability of AI-generated code, as it provides an independent evaluation, adversarial review, and pre-commit quality gate for Claude Code. Nova integrates with git to review and validate code before commit, solving problems related to code accuracy and security. It takes in AI-generated code as input and outputs a quality assessment, helping developers to identify and address potential issues early on.

Canonical page: https://skillsregistry.net/skills/teamspwk-nova  
JSON: https://api.skillsregistry.net/v1/skills/teamspwk-nova

## Description

AI Agent Ops framework for Claude Code — independent evaluator, adversarial review, and pre-commit quality gate for AI-generated code.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/TeamSPWK/nova)

## 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": "teamspwk-nova"
    }
  }
}
```

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