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Agent skill

Amazon Search

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

Search Amazon products - find items, compare prices, read reviews

MITAuto-check passed

Install Amazon Search

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill amazon-search -a claude-code

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills amazon-search --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/amazon-search .claude/skills/amazon-search && 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
amazon-search
GitHub stars
1.2k
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
277 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Search Amazon products - find items, compare prices, read reviews

  • SKILL.md covers Setup, When to Use, How It Works and Usage, plus 4 more sections
  • Calls curl, python3 and npx; reaches api.gooseworks.ai and api.orth.sh; needs GOOSEWORKS_API_KEY

What it does

Amazon Search is an agent skill from gooseworks-ai/goose-skills. Search Amazon products - find items, compare prices, read reviews

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

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.

Example prompts

  • “/amazon-search”

Requirements

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

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
    • api.orth.sh

    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

Amazon Search loads about 1.1k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 277 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 277 words, ~1,102 tokens.

Download SKILL.mdSave it as .claude/skills/amazon-search/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
amazon-search
description
Search Amazon products - find items, compare prices, read reviews
source
orthogonal

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"

Search for products on Amazon. Find items by keyword, category, or criteria.

When to Use

  • User wants to find a product on Amazon
  • User asks "find me a [product] on Amazon"
  • User wants to compare prices
  • User needs product recommendations

How It Works

Uses the SearchAPI Amazon Search engine to query Amazon's catalog.

Usage

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":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"wireless earbuds"}}'
<details>
<summary>curl equivalent</summary>
bash
curl -X POST "https://api.orth.sh/v1/run" \

  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"wireless earbuds"}}'
</details>
Search with Category
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":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"laptop","category_id":"electronics"}}'

Parameters

  • engine (required) - Must be amazon_search
  • q (required) - Search query
  • category_id - Amazon category (electronics, books, etc.)
  • page - Page number for pagination

Response

Top-level keys: search_metadata, search_parameters, search_information, organic_results, filters, pagination.

Each item in organic_results array:

  • position (integer) - Result rank
  • asin (string) - Amazon product ID
  • title (string) - Product name
  • link (string) - Product page URL
  • image (string) - Product thumbnail URL
  • price (string) - Display price (e.g., "$69.99")
  • extracted_price (number) - Numeric price for comparison
  • original_price / extracted_original_price - Pre-discount price (if on sale)
  • currency (string) - Currency code (e.g., "USD")
  • rating (number) - Star rating (0-5)
  • reviews (integer) - Number of reviews
  • is_prime (boolean) - Prime eligible
  • is_best_seller / is_amazon_choice (boolean) - Badge flags
  • delivery (string) - Delivery estimate text

Pagination: Use page=2, page=3, etc. for more results.

Examples

User: "Find wireless earbuds on Amazon"

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":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"wireless earbuds"}}'

User: "Search for laptops under $500"

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":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"laptop under 500"}}'

User: "Find highly rated coffee makers"

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":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"coffee maker best rated"}}'

Error Handling

  • 400 - Invalid engine name or missing q parameter
  • 401 - Invalid API key
  • 429 - Rate limit — wait and retry
  • Empty organic_results array means no products matched the query — try broader search terms
  • Use separate -q flags if & in query string causes issues: -q 'engine=amazon_search' -q 'q=wireless earbuds'

© 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/amazon-search 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 9, 2026.

Compare with similar skills

Amazon Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Amazon Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Amazon Search this skillgooseworks-ai/goose-skills1.2k1 repos~1.1kAutomated safety check: PassMIT
Gtm Technical Product Pricinggithub/awesome-copilot40k1 repos~3.2kAutomated safety check: PassMIT
Amazon Product Search Extractorbrowser-act/skills6.1k1 repos~1.5kAutomated safety check: PassMIT
Product Lensaffaan-m/ECC277k2 repos~841Automated safety check: PassMIT
Pricingsickn33/agentic-awesome-skills47k1 repos~1.9kAutomated safety check: PassMIT
Productthedaviddias/Front-End-Checklist74k—~592Automated safety check: PassMIT

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  • Gtm Technical Product Pricing

    github/awesome-copilot

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    40k GitHub starsUsed in 1 repo~3.2k tokens
    Marketing & SEOAuto-check passed

  • Amazon Product Search Extractor

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    Pulls structured Amazon search results (titles, ASINs, prices, ratings, specifications) for a keyword and brand through BrowserAct's Amazon Product API template.

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Questions about Amazon Search

What does Amazon Search do?

Search Amazon products - find items, compare prices, read reviews. Amazon Search is an agent skill from gooseworks-ai/goose-skills.

How do I install Amazon Search in Claude Code?

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

How do I install Amazon Search in Codex?

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

Can I use Amazon Search 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 amazon-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/amazon-search, .gemini/skills/amazon-search, .github/skills/amazon-search and .opencode/skills/amazon-search in your project.

What does Amazon Search need to run?

Going by SKILL.md and its folder, Amazon Search 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 Amazon Search access the network?

SKILL.md names 2 domains. In commands or code: api.gooseworks.ai and api.orth.sh; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Amazon Search 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 Amazon Search use?

Amazon Search 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 Amazon Search use?

About 1.1k tokens (SKILL.md is roughly 4.4k 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 Amazon Search?

Skills that share tags, products or a category with Amazon Search: Gtm Technical Product Pricing (github/awesome-copilot, 40k stars), Amazon Product Search Extractor (browser-act/skills, 6.1k stars), Product Lens (affaan-m/ECC, 277k stars) and Pricing (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Amazon Search?

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.