# graphqlmap

> graphqlmap — cognis-digital-graphqlmap. Use this tool when you need to analyze GraphQL APIs for security vulnerabilities, such as risky fields, excessive query depth, and authorization gaps. It solves problems related to insecure GraphQL schema configurations, providing insights into potential attack surfaces. By taking GraphQL introspection data as input, graphqlmap outputs a comprehensive report highlighting security risks and areas for improvement.

Canonical page: https://skillsregistry.net/skills/cognis-digital-graphqlmap  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-graphqlmap

## Description

Analyze GraphQL introspection for risky fields, depth, and authz gaps

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/graphqlmap)

## 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": "cognis-digital-graphqlmap"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-graphqlmap` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-graphqlmap/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