Api Smoke Testing

Community

spencerpauly

api-smoke-testing

Start the dev server, discover API routes from the codebase, hit every endpoint, and report which ones return errors.

Overview

Publisher	spencerpauly
Repository	`awesome-cursor-skills`
Skill name	`api-smoke-testing`
Stars	848
Forks	169
Bundled files	Instructions only
License	CC0-1.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by spencerpauly on GitHub. Read the source before you install it.

Installation

Install the Api Smoke Testing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/spencerpauly/awesome-cursor-skills/tree/main/resources/api-smoke-testing
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/spencerpauly/awesome-cursor-skills/tree/main/resources/api-smoke-testing

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/spencerpauly/awesome-cursor-skills.git /tmp/awesome-cursor-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-cursor-skills/resources/api-smoke-testing .claude/skills/api-smoke-testing

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Api Smoke Testing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Api Smoke Testing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Api Smoke Testing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

API Smoke Testing

Verify all API endpoints return healthy responses by combining codebase analysis with HTTP requests.

Workflow

1. Discover Routes

Search the codebase for API route definitions:

Next.js (App Router): app/api/**/route.ts Next.js (Pages Router): pages/api/**/*.ts Express: Look for app.get(, app.post(, router.get(, etc. Django: Look for urlpatterns in urls.py FastAPI: Look for @app.get(, @app.post(, decorators Rails: Look for routes.rb

Build a list of endpoints with their HTTP methods.

2. Ensure Server is Running

Check terminal files for a running dev server. If none found, start one.

3. Hit Every Endpoint

For each route:

bash
curl -s -o /dev/null -w "%{http_code}" -X <METHOD> http://localhost:<PORT><PATH>

For endpoints that require a body (POST/PUT/PATCH), send a minimal valid JSON:

bash
curl -s -o /dev/null -w "%{http_code}" -X POST http://localhost:<PORT><PATH> \
  -H "Content-Type: application/json" \
  -d '{}'

4. Classify Results

Status	Meaning
200-299	OK
301/302	Redirect (OK)
400	Bad request (expected for empty POST bodies)
401/403	Auth required (expected for protected routes)
404	Route not found (BUG — route exists in code but not served)
500	Server error (BUG)
000/timeout	Server not responding (BUG)

5. Report


API Smoke Test Results:
  Tested: 15 endpoints
  Passed: 12
  Auth required: 2 (GET /api/user, POST /api/settings)
  Errors:
    500 — POST /api/webhooks/stripe (TypeError: Cannot read property 'id' of undefined)
    404 — GET /api/v2/health (route defined but not mounted)

6. Fix Errors

For 500 errors, read the terminal output for the stack trace and fix the root cause. For 404s, check that the route file is in the correct location and properly exported.

Frequently asked questions

What does the Api Smoke Testing AI skill do?

Start the dev server, discover API routes from the codebase, hit every endpoint, and report which ones return errors.

Why use Api Smoke Testing on TypingMind?

Because you install it once and use it with any model. Api Smoke Testing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Api Smoke Testing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/spencerpauly/awesome-cursor-skills/tree/main/resources/api-smoke-testing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Api Smoke Testing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Api Smoke Testing?

As many as you like. As long as a model supports skills, you can use Api Smoke Testing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Api Smoke Testing AI skill free?

Yes. It is published on GitHub by spencerpauly under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

API Smoke Testing

Workflow

1. Discover Routes

2. Ensure Server is Running

3. Hit Every Endpoint

4. Classify Results

5. Report

6. Fix Errors

Frequently asked questions

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