# Opzyai Security Check

> Use this tool when you need to identify potential security vulnerabilities in AI coding projects, such as exposed secrets, .env files, or git history leaks. The Opzyai Security Check scans for common issues, including CVEs, to ensure secure coding practices. It provides a local-first security audit, accepting code repositories as input and outputting a report of detected vulnerabilities and recommendations for remediation.

Canonical page: https://skillsregistry.net/skills/com-opzyai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-opzyai-mcp

## Description

Local-first security check for AI coding agents: secrets, .env exposure, git-history leaks, CVEs.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-07-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.opzyai%2Fmcp)

## 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": "com-opzyai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-opzyai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-opzyai-mcp/pull`

---
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