rest-graphql-debug

Diagnose REST and GraphQL API issues with Python and terminal commands.

Updated Jun 26, 2026
One-click install
npx skills add https://github.com/NITISH-gitbit/hermes-custom --skill rest-graphql-debug-nitish-gitbit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rest-graphql-debug
Source: https://github.com/NITISH-gitbit/hermes-custom/tree/main/optional-skills/software-development/rest-graphql-debug
Command: npx skills add https://github.com/NITISH-gitbit/hermes-custom --skill rest-graphql-debug-nitish-gitbit

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the debugging of REST and GraphQL APIs, enabling users to quickly identify and rectify issues related to status codes, authentication, schemas, and repro.

Core Features & Use Cases

  • API Diagnosis: Offers tools to diagnose connectivity, timeouts, TLS/SSL, authentication, request format, response parsing, and semantic validation issues.
  • Layered Debug Flow: Guides through a systematic process to isolate the layer with the problem, such as connectivity, timeouts, TLS/SSL, authentication, request format, response parsing, and semantic validation.
  • Quickstart Guide: Provides step-by-step instructions for debugging REST and GraphQL APIs using terminal commands and Python scripts.

Quick Start

Use the rest-graphql-debug skill to execute a curl command to inspect the status code of a REST API.

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 REST API connectivity and timeout issues?

To debug REST API connectivity and timeout issues, execute terminal curl commands and Python requests scripts to systematically isolate the failing network layer. This Skill guides you through a layered debug flow to verify if the problem stems from DNS, connection drops, or server timeouts.

What is the best way to troubleshoot GraphQL API authentication and request format errors?

Troubleshooting GraphQL API authentication and request format errors involves executing Python scripts to send test queries and inspect returned status codes. This Skill provides step-by-step guidance to validate your headers, tokens, and query schemas against the expected API response formats.

How do I diagnose TLS/SSL certificate failures when calling an API?

Diagnosing TLS/SSL certificate failures when calling an API requires running curl commands with verbose flags to inspect the SSL handshake process. This Skill helps you identify mismatched certificates, expired credentials, and untrusted certificate authorities blocking your API requests.

How do I parse and validate REST and GraphQL API responses using Python?

Parsing and validating REST and GraphQL API responses uses Python requests to capture the JSON payload and run semantic validation checks. This Skill helps you verify the response schema, extract specific data fields, and confirm the API returns the correct semantic values.

Does this API debugging approach work with both curl and Python requests?

Yes, this API debugging approach works with both curl and Python requests, utilizing terminal commands and Python scripts to execute tasks and verify API responses. It leverages these two dependencies to diagnose connectivity, timeouts, and authentication issues across REST and GraphQL protocols.

Why is my REST API returning a 401 status code and how do I fix it?

A REST API returning a 401 status code indicates an authentication failure, which you can fix by debugging your authorization headers and tokens using curl commands. This Skill guides you through the authentication layer to isolate missing credentials, expired tokens, or malformed header formats.