# constraints-registry

> constraints-registry — sureshkhemka-constraints-registry. Use this tool when you need to ensure AI-generated code complies with engineering constraints and policies. The constraints-registry provides a queryable source of policy-as-code guardrails, backed by OPA, Conftest, Checkov, and Semgrep, to validate code generated by AI agents like Claude Code, Cursor, and Codex. It integrates with git to enforce constraints and maintain code integrity.

Canonical page: https://skillsregistry.net/skills/sureshkhemka-constraints-registry  
JSON: https://api.skillsregistry.net/v1/skills/sureshkhemka-constraints-registry

## Description

MCP server giving AI coding agents (Claude Code, Cursor, Codex) a queryable source of engineering constraints — policy-as-code guardrails for AI-generated code, backed by OPA, Conftest, Checkov & Semgrep.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/SureshKhemka/constraints-registry)

## 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": "sureshkhemka-constraints-registry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sureshkhemka-constraints-registry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sureshkhemka-constraints-registry/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