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rest-graphql-debug

Diagnose REST and GraphQL API failures with curl and Python requests.

Updated Apr 9, 2026
Search Tags:#testing#debugging#api#rest#graphql#curl#requests
One-click install
npx skills add https://github.com/nadicodeai/argo-agent --skill rest-graphql-debug-nadicodeai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rest-graphql-debug
Source: https://github.com/nadicodeai/argo-agent/tree/main/optional-skills/software-development/rest-graphql-debug
Command: npx skills add https://github.com/nadicodeai/argo-agent --skill rest-graphql-debug-nadicodeai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Diagnose and triage failures in REST and GraphQL APIs by guiding a structured, layered debugging process that isolates the failing component from connectivity to data semantics.

Core Features & Use Cases

  • Terminal debugging: run curl commands to verify connectivity, status codes, and headers.
  • Programmatic requests debugging: use execute_code to issue Python requests and inspect responses.
  • GraphQL debugging: craft GraphQL queries and analyze response errors.
  • Documentation referencing: pull endpoint specs from vendor docs via web_extract to validate expectations.
  • Layered troubleshooting flow: follow a step-by-step sequence (connectivity, TLS/SSL, authentication, request format, response parsing, semantics) to isolate issues.

Quick Start

Run a simple curl health check against your API to verify connectivity and authentication.

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 a REST API that is returning authentication errors?▼

Debug REST API authentication errors using a layered workflow that checks connectivity with curl, validates headers, and verifies credentials against vendor documentation. This process isolates whether failures originate from TLS, authentication tokens, or request formats.

What is the best way to troubleshoot GraphQL query failures and response errors?▼

Troubleshoot GraphQL query failures by crafting queries and analyzing response errors to isolate data format validation issues. The workflow uses Python requests to inspect responses and validates endpoint expectations against vendor documentation.

Can I use Python requests to diagnose and test API health checks?▼

Yes, you can use Python requests to diagnose API health checks by issuing programmatic requests and inspecting responses. This verifies status codes, response parsing, and data semantics across REST and GraphQL endpoints during regression debugging.

Why does my API request fail and how do I isolate the failing component?▼

API requests fail due to connectivity, TLS, authentication, request format, or data semantics issues. Isolate the failing component by following a deterministic, layered troubleshooting flow that checks each step sequentially using curl and Python requests.

Do I need curl to run REST and GraphQL regression debugging?▼

You do not strictly need curl, but it is recommended for terminal debugging to quickly verify connectivity and status codes. You can alternatively use Python requests for programmatic debugging to inspect responses and validate data formats.

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