Skills amazon-best-selling-products-finder-api-skill

📦

amazon-best-selling-products-finder-api-skill

Name: amazon-best-selling-products-finder-api-skill
Author: browser-act

Content revision r2 High Risk 🌐 Network access🔑 Env variables⚙️ External commands

Find Amazon Best-Selling Products

Amazon product research can require slow, repetitive browsing. This skill runs a BrowserAct workflow to collect structured listing, price, rating, sales, and availability data.

Supports: Claude Codex Code(CC)

⚠️ 38 Poor

Stop for confirmation before installing.

Review the plan and obtain explicit user consent before changing files.

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "amazon-best-selling-products-finder-api-skill" from https://skillstore.io/skills/browser-act-amazon-best-selling-products-finder-api-skill.md and its manifest at https://skillstore.io/api/skills/browser-act-amazon-best-selling-products-finder-api-skill/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/browser-act-amazon-best-selling-products-finder-api-skill.md Signed manifest GET /api/skills/browser-act-amazon-best-selling-products-finder-api-skill/manifest Signed lockfile GET /api/skills/browser-act-amazon-best-selling-products-finder-api-skill/lockfile

Test it

Using "amazon-best-selling-products-finder-api-skill". Find ten mechanical keyboards on Amazon US.

Expected outcome:

A product table with title, brand, current price, rating, review count, availability, badge, ASIN, and product link.
A short comparison of price range, rating strength, and visible sales indicators.

Using "amazon-best-selling-products-finder-api-skill". Compare reusable water bottles on Amazon UK.

Expected outcome:

A ranked listing summary covering prices, promotions, ratings, reviews, availability, and brands.
A concise note identifying common price bands and highly reviewed options.

Using "amazon-best-selling-products-finder-api-skill". Review running shoe listings across Amazon US and Germany.

Expected outcome:

Separate regional result tables with consistent product fields.
A comparison of assortment, availability, promotions, badges, and rating patterns.

Security Audit

High Risk

v6 • 7/23/2026 Open versioned report

The skill deliberately contacts BrowserAct and runs a bundled Python script. Most secret, backtick, URL, and reconnaissance alerts are contextual false positives. However, it encourages API key disclosure and forwards an unrestricted marketplace URL to the remote workflow.

Files scanned

199

Lines analyzed

Review items

False positives ignored

Confirmed security concerns (2)

High

SKILL.md:20-22 scripts/amazon_best_selling_products_finder_api.py:93-98

API Key Disclosure Solicitation

The skill tells the agent to wait for a user-provided API key, and the script explicitly asks users to provide it. This encourages credential disclosure through chat.

Both files directly request user collaboration to provide the BrowserAct key. The language is explicit, although local environment configuration is also offered.

Medium

scripts/amazon_best_selling_products_finder_api.py:17-25 scripts/amazon_best_selling_products_finder_api.py:101-105

Unrestricted Remote Browser Destination

The third CLI argument becomes a workflow marketplace URL without scheme or hostname validation. A caller can direct remote browser automation to unintended destinations.

The script forwards sys.argv[3] as Marketplace_url with no validation. The remote service behavior is not shown, so impact is limited to likely workflow misuse.

Capability review items (4)

These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.

Medium

SKILL.md:47-50

Ruby/shell backtick execution

```bash

The fenced block instructs the agent to run the bundled Python script with user-selected arguments. This is real external command execution.

Low

scripts/amazon_best_selling_products_finder_api.py:31

Python HTTP libraries

res = requests.post(f"{API_BASE_URL}/run-task-by-template", json=payload, headers=headers, timeout=3

This POST sends the API key and search parameters to BrowserAct. The outbound request is an intended but security-relevant third-party network operation.

Low

scripts/amazon_best_selling_products_finder_api.py:48

Python HTTP libraries

status_res = requests.get(f"{API_BASE_URL}/get-task-status?task_id={task_id}", headers=headers, time

This GET polls BrowserAct with the bearer authorization header and task identifier. It confirms deliberate third-party network access.

Low

scripts/amazon_best_selling_products_finder_api.py:15

Hardcoded URL

API_BASE_URL = "https://api.browseract.com/v2/workflow"

This constant fixes BrowserAct as the third-party API destination used by the live requests. The destination is expected but security-relevant.

Risk Factors

🌐 Network access (10)

scripts/amazon_best_selling_products_finder_api.py:31 scripts/amazon_best_selling_products_finder_api.py:48 scripts/amazon_best_selling_products_finder_api.py:70 scripts/amazon_best_selling_products_finder_api.py:15 scripts/amazon_best_selling_products_finder_api.py:17 scripts/amazon_best_selling_products_finder_api.py:96 scripts/amazon_best_selling_products_finder_api.py:103 SKILL.md:22 SKILL.md:41 SKILL.md:42

🔑 Env variables (10)

scripts/amazon_best_selling_products_finder_api.py:87 scripts/amazon_best_selling_products_finder_api.py:87 scripts/amazon_best_selling_products_finder_api.py:17 scripts/amazon_best_selling_products_finder_api.py:18 scripts/amazon_best_selling_products_finder_api.py:87 scripts/amazon_best_selling_products_finder_api.py:93 scripts/amazon_best_selling_products_finder_api.py:98 scripts/amazon_best_selling_products_finder_api.py:105 SKILL.md:4 SKILL.md:20

⚙️ External commands (26)

Audited by: codex View Audit History →

Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report

Copy report link

https://skillstore.io/skills/browser-act-amazon-best-selling-products-finder-api-skill/audits/6?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown badge

[![Skillstore security assessment](https://skillstore.io/badges/skills/browser-act-amazon-best-selling-products-finder-api-skill/security.svg)](https://skillstore.io/skills/browser-act-amazon-best-selling-products-finder-api-skill?utm_source=security_passport_badge)

HTML badge

<a href="https://skillstore.io/skills/browser-act-amazon-best-selling-products-finder-api-skill?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/browser-act-amazon-best-selling-products-finder-api-skill/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Embed card

<iframe src="https://skillstore.io/embed/skills/browser-act-amazon-best-selling-products-finder-api-skill.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

Academic citations (APA · BibTeX · CFF)

APA citation

browser-act. (2026). amazon-best-selling-products-finder-api-skill security audit report (audit version 6) [Author version unspecified]. Skillstore. https://skillstore.io/skills/browser-act-amazon-best-selling-products-finder-api-skill/audits/6

BibTeX citation

@techreport{browser-act-browser-act-amazon-best-selling-products-finder-api-skill-2026,
  author = {browser-act},
  title = {amazon-best-selling-products-finder-api-skill security audit report (audit version 6)},
  institution = {Skillstore},
  year = {2026},
  number = {6},
  url = {https://skillstore.io/skills/browser-act-amazon-best-selling-products-finder-api-skill/audits/6},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "amazon-best-selling-products-finder-api-skill security audit report (audit version 6)"
version: "unspecified"
type: report
authors:
  - name: "browser-act"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/browser-act-amazon-best-selling-products-finder-api-skill/audits/6"
identifiers:
  - type: other
    value: "skillstore:browser-act-amazon-best-selling-products-finder-api-skill:audit:6"
    description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: Medium

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Research Product Categories

Collect current listing details for a keyword before evaluating demand, price ranges, and review competition.

Compare Regional Offers

Run equivalent searches across Amazon regions to compare prices, availability, promotions, and badges.

Review Competitor Listings

Gather product identifiers and visible sales indicators for a focused competitor comparison.

Try These Prompts

Find Popular Products

Find ten best-selling wireless keyboards on Amazon US. Summarize title, current price, rating, review count, and availability.

Compare Product Offers

Collect twenty insulated water bottles from Amazon UK. Compare current price, list price, promotions, ratings, and past-month sales indicators.

Assess Category Competition

Research thirty running shoes on Amazon Germany. Rank listings by rating and review count, then identify common brands, badges, and price bands.

Build a Regional Comparison

Run matching laptop-stand searches for Amazon US and UK. Compare product overlap, converted price ranges, availability, promotions, and rating strength.

Best Practices

Set BROWSERACT_API_KEY in the local environment instead of sharing it in a prompt.
Use a supported Amazon marketplace hostname for the intended region.
Begin with a small result limit, verify relevance, then expand the search.

Avoid

Do not paste API keys into prompts, messages, logs, or command arguments.
Do not treat one collection as historical trend data without repeated timestamped runs.
Do not use arbitrary non-Amazon destinations as the marketplace URL.

Frequently Asked Questions

What credentials does this skill require?

It requires a BrowserAct API key stored locally as BROWSERACT_API_KEY.

Which Amazon regions are supported?

The script accepts a marketplace URL, but actual regional support depends on the BrowserAct workflow.

What product fields can it request?

It requests titles, brands, prices, ratings, reviews, sales indicators, availability, promotions, ASINs, categories, badges, and product links.

How long can a request take?

The script polls for up to five minutes and reports status every ten seconds.

Does it provide historical price trends?

No. Each run collects current workflow results, so historical analysis requires repeated timestamped collections.

Does the current script return completed results?

No. An unconditional return after polling makes the result retrieval block unreachable until the author fixes the control flow.

Developer Details

Author

browser-act

License

MIT

Skillstore revision

Version notice

The author did not declare a version.

Repository

https://github.com/browser-act/skills/tree/main/solutions/ecommerce/amazon-best-selling-products-finder-api-skill

Ref

a39a91716eadede5f4cdefd78178fed4e837a128

Maintenance freshness

7/24/2026

Usage

4 downloads · 67 views

File structure

📁 scripts/

📄 amazon_best_selling_products_finder_api.py

📄 SKILL.md