rest-graphql-debug

Diagnose REST and GraphQL API failures across connectivity, TLS, authentication, and payload structure.

1|Updated May 12, 2026

Search Tags:#testing #debugging #api #rest #graphql #http

Ready to run

npx skills add https://github.com/projectedanx/hermes-agent --skill rest-graphql-debug-projectedanx

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: rest-graphql-debug
Source: https://github.com/projectedanx/hermes-agent/tree/main/optional-skills/software-development/rest-graphql-debug
Command: npx skills add https://github.com/projectedanx/hermes-agent --skill rest-graphql-debug-projectedanx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests.

What problem does it solve?

This skill provides a structured, layered approach to troubleshooting REST and GraphQL API issues, helping you isolate failures in connectivity, authentication, or data schema mismatches.

Core Features & Use Cases

Layered Diagnosis: Follows a systematic 6-step process from connectivity checks to semantic validation to pinpoint the exact point of failure.
Tool Integration: Leverages terminal commands for network diagnostics and Python execution for complex API interaction and contract validation.
Use Case: When an API integration returns an unexpected 401 or 422 error, use this skill to verify token validity, inspect request headers, and validate the response schema against your expectations.

Quick Start

Use the rest-graphql-debug skill to diagnose the failing API endpoint by running a verbose curl request to verify connectivity and authentication headers.

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 integration failures returning 401 or 422 errors?▼

Diagnose REST API failures by running a verbose curl request to verify endpoint connectivity, inspect authentication headers, and validate the response payload structure. This isolates whether the error originates from network connectivity, invalid tokens, or malformed request data.

What is the best way to troubleshoot GraphQL API schema mismatches during backend development?▼

Troubleshoot GraphQL schema mismatches by executing diagnostic network calls with Python requests to validate the query syntax, verify authentication, and confirm the returned data schema matches your expected contract. This pinpoints exact semantic validation failures.

Why does my API integration fail with a TLS or network connectivity error?▼

API integration TLS or connectivity errors are diagnosed using standard terminal utilities for network checks to verify endpoint reachability, resolve DNS issues, and confirm secure connection establishment before testing authentication layers.

Can I use Python requests to test and validate third-party service API contracts?▼

Yes, Python requests executes diagnostic network calls to test and validate third-party service API contracts by handling complex API interactions, verifying token validity, and performing response schema validation against expected data structures.

Does this API debugging approach work for both REST and GraphQL endpoints?▼

Yes, this API debugging approach works for both REST and GraphQL endpoints by following a systematic 6-step process that progresses from initial connectivity checks to semantic validation, isolating failures across both HTTP protocols.

How to systematically verify API authentication tokens and request headers?▼

Systematically verify API authentication tokens and request headers by following a layered 6-step diagnostic process that checks TLS, inspects header validity, and tests token authentication using Python requests to execute controlled diagnostic network calls.