api-tester

Test and document API endpoints - validate responses, check status, generate examples

9 stars

Best use case

api-tester is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Test and document API endpoints - validate responses, check status, generate examples

Teams using api-tester should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/orthogonal-api-tester/SKILL.md --create-dirs "https://raw.githubusercontent.com/orthogonal-sh/skills/main/skills/orthogonal-api-tester/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/orthogonal-api-tester/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How api-tester Compares

Feature / Agentapi-testerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Test and document API endpoints - validate responses, check status, generate examples

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# API Tester - Test Any API Endpoint

Test API endpoints, validate responses, and generate documentation examples.

## Workflow

### Step 1: Test GET Endpoints
Make GET requests to test endpoints:

```bash
orth api run linkup /fetch --body '{"url": "https://api.example.com/health"}'
```

### Step 2: Test POST Endpoints
Test POST requests by fetching API docs:

```bash
orth api run scrapegraph /v1/smartscraper --body '{
  "website_url": "https://api.example.com/docs",
  "user_prompt": "Extract all API endpoints, methods, parameters, and example responses"
}'
```

### Step 3: Get API Documentation
Fetch and parse API docs:

```bash
orth api run scrapegraph /v1/markdownify --body '{"website_url": "https://api.example.com/docs"}'
```

### Step 4: Validate Response Schema
Check response structure:

```bash
orth api run riveter /v1/run --body '{
  "url": "https://api.example.com/endpoint",
  "schema": {
    "id": "string",
    "name": "string",
    "created_at": "string"
  }
}'
```

## Example Usage

```bash
# Extract API spec from docs
orth api run scrapegraph /v1/smartscraper --body '{
  "website_url": "https://stripe.com/docs/api",
  "user_prompt": "Extract API authentication methods and example curl commands"
}'

# Fetch API page
orth api run linkup /fetch --body '{"url": "https://api.openai.com/v1/models"}'
```

## Tips

- Test both happy paths and error cases
- Verify response schemas match documentation
- Check rate limits and authentication
- Document any discrepancies found

## Discover More

List all endpoints, or add a path for parameter details:

```bash
orth api show linkup
orth api show riveter
orth api show scrapegraph
```

Example: `orth api show olostep /v1/scrapes` for endpoint parameters.

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