Agent skill

API Tester

by gooseworks-ai in gooseworks-ai/goose-skills

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

MITAuto-check passedBackend & APIs

Install API Tester

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill api-tester -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills api-tester --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-tools/capabilities/api-tester .claude/skills/api-tester && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
api-tester
GitHub stars
1.2k
Used in
1 other repo
Token cost
~975 tokens
SKILL.md length
121 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 4 steps: Test GET Endpoints → Test POST Endpoints → Get API Documentation → …
  • Tasks that involve REST APIs
  • SKILL.md covers Setup, Workflow, Example Usage and Tips, plus 1 more section
  • Calls curl, python3 and npx; reaches api.gooseworks.ai and stripe.com; needs GOOSEWORKS_API_KEY

What it does

API Tester is an agent skill from gooseworks-ai/goose-skills. Test and document API endpoints - validate responses, check status, generate examples

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Backend & APIs, covering REST APIs. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • Tasks that involve REST APIs

Example prompts

  • “/api-tester”

Requirements

  • Python 3
  • Node.js
  • A credential in GOOSEWORKS_API_KEY

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Test GET Endpoints
  2. Test POST Endpoints
  3. Get API Documentation
  4. Validate Response Schema

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • python3
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.gooseworks.ai
    • stripe.com
    • api.openai.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GOOSEWORKS_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

API Tester loads about 975 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 121 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~975

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 121 words, ~975 tokens.

Download SKILL.mdSave it as .claude/skills/api-tester/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
api-tester
description
Test and document API endpoints - validate responses, check status, generate examples
source
orthogonal

API Tester - Test Any API Endpoint

Setup

Read your credentials from ~/.gooseworks/credentials.json:

bash
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

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

Workflow

Step 1: Test GET Endpoints

Make GET requests to test endpoints:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/fetch","body":{"url":"https://api.example.com/health"}}'
Step 2: Test POST Endpoints

Test POST requests by fetching API docs:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
  "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
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/markdownify","body":{"website_url":"https://api.example.com/docs"}}'
Step 4: Validate Response Schema

Check response structure:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"riveter","path":"/v1/run"}'
  "url": "https://api.example.com/endpoint",
  "schema": {
    "id": "string",
    "name": "string",
    "created_at": "string"
  }
}'

Example Usage

bash
# Extract API spec from docs
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
  "website_url": "https://stripe.com/docs/api",
  "user_prompt": "Extract API authentication methods and example curl commands"
}'

# Fetch API page
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/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
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"linkup API endpoints"}' api show riveter
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"scrapegraph API endpoints"}'

Example: `curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"olostep","path":"/v1/scrapes`"}' for endpoint parameters.

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/research-tools/capabilities/api-tester of gooseworks-ai/goose-skills.

  • SKILL.md
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.

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Kql ValidatorAzure/azqr796—~703Automated safety check: PassMIT
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Questions about API Tester

What does API Tester do?

Test and document API endpoints - validate responses, check status, generate examples. API Tester is an agent skill from gooseworks-ai/goose-skills.

When should I use API Tester?

API Tester fits situations like: tasks that involve REST APIs.

How do I install API Tester in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill api-tester -a claude-code`. Or copy the skill folder (skills/research-tools/capabilities/api-tester in gooseworks-ai/goose-skills) into .claude/skills/api-tester in your project. Claude Code loads it when a task matches its description.

How do I install API Tester in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill api-tester -a codex`. Or copy the skill folder (skills/research-tools/capabilities/api-tester in gooseworks-ai/goose-skills) into .agents/skills/api-tester in your project. Codex loads it when a task matches its description.

Can I use API Tester in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill api-tester -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/api-tester, .gemini/skills/api-tester, .github/skills/api-tester and .opencode/skills/api-tester in your project.

What does API Tester need to run?

Going by SKILL.md and its folder, API Tester needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.

Does API Tester access the network?

SKILL.md names 3 domains. In commands or code: api.gooseworks.ai, stripe.com and api.openai.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is API Tester safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does API Tester use?

API Tester is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does API Tester use?

About 975 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to API Tester?

Skills that share tags, products or a category with API Tester: RuView CLI, API and WASM (ruvnet/RuView, 97k stars), Io Figma (gridaco/grida, 2.7k stars), Tabz Terminals (GGPrompts/TabzChrome, 147 stars) and Kql Validator (Azure/azqr, 796 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains API Tester?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.