rest-graphql-debug

Automate debugging and validation of REST and GraphQL APIs with curl and Python requests.

2|Updated Jun 8, 2026
One-click install
npx skills add https://github.com/vikrant-project/devil-agent-ai-platform --skill rest-graphql-debug-vikrant-project
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rest-graphql-debug
Source: https://github.com/vikrant-project/devil-agent-ai-platform/tree/main/agent_core/optional-skills/software-development/rest-graphql-debug
Command: npx skills add https://github.com/vikrant-project/devil-agent-ai-platform --skill rest-graphql-debug-vikrant-project

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl, python, requests, openssl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies API debugging and validation, ensuring the accuracy and reliability of REST and GraphQL APIs.

Core Features & Use Cases

  • Automated API Testing: Perform comprehensive tests on APIs to identify errors, issues, and performance bottlenecks.
  • Debugging Tools: Utilize various tools like curl, Python requests, and vendor API documentation.
  • Use Case: If you are facing unexpected API responses or need to ensure that your API is performing as expected, this Skill can help isolate issues and provide detailed debugging information.

Quick Start

Use the rest-graphql-debug skill to test the endpoint '/users/1' with curl command 'curl -v https://api.example.com/users/1'.

Frequently Asked Questions about rest-graphql-debug

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I debug unexpected REST API responses using curl?

To debug REST API responses, use curl with the verbose flag (-v) to inspect HTTP headers, status codes, and payload data. This isolates issues by providing detailed endpoint interaction information.

Can I use Python requests for GraphQL API integration testing?

Yes, you can use Python requests for GraphQL API integration testing by sending POST requests with JSON payloads. This automates query validation and checks for performance bottlenecks or errors.

What is the best way to automate API validation for REST and GraphQL endpoints?

The best way to automate API validation is combining curl, Python requests, and vendor documentation. This approach handles integration tests, performance profiling, and error troubleshooting across REST and GraphQL.

Do I need openssl installed to troubleshoot API errors?

OpenSSL is listed as a dependency, suggesting it is used for handling HTTPS connections or certificate validation during API troubleshooting. Curl, Python, and requests are also required for core API interactions.

Why does my API performance profiling return inconsistent results?

API performance profiling may return inconsistent results due to network latency, endpoint rate limits, or unhandled errors. Combining terminal commands with automated Python requests helps isolate performance bottlenecks.