Agent skill · Code Review & Quality

trustpilot-company-info

Trustpilot company profile lookup on trustpilot.com — input a company domain (e.g. apple.com, shopify.com, shopwagandtail.com) and extract company metadata: official display name, businessUnitId, TrustScore (1-5), star rating, total review count, last-12-months review count, primary category and all categories, verification flags (verifiedByGoogle, verifiedPaymentMethod, verifiedUserIdentity), claimed/closed status, website URL, contact info (email, phone, country, city, address, zip), profile image, and optional reply behavior metrics (averageDaysToReply, replyPercentage, negativeReviewsWithR

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill trustpilot-company-info --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: yes
Path: solutions/lead-generation/trustpilot-company-info/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Trustpilot — Company Info > Input a company domain (or list of domains) → output the company's Trustpilot profile: name, TrustScore, stars, review count, verification flags, category, contact info, and optional reply behavior metrics. ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Extract a single company's public Trustpilot profile data from `trustpilot.com/review/{domain}`. Designed to be called once per domain; chain calls or write a batch loop when enriching many domains. ## Prerequisites - Target page is reachable on the public web: `https://www.trustpilot.com/review/{domain}` - No login required — Trustpilot review pages are publicly accessible ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → skip this step. Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry. ## Capability Components > This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing au

What's inside
Steps it walks through
  1. Language
  2. Objective
  3. Prerequisites
  4. Pre-execution Checks
  5. 1. Tool Readiness
  6. Capability Components
  7. DOM: extract company profile (from SSR JSON embedded in the review page)
  8. Success Criteria
  9. Known Limitations
  10. Execution Efficiency
  11. Experience Notes
Ships with 1 file
  • scripts/extract-company-info.py
More from skills
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About this skill
What does the trustpilot-company-info skill do?

Trustpilot company profile lookup on trustpilot.com — input a company domain (e.g. apple.com, shopify.com, shopwagandtail.com) and extract company metadata: official display name, businessUnitId, TrustScore (1-5), star rating, total review count, last-12-months review count, primary category and all categories, verification flags (verifiedByGoogle, verifiedPaymentMethod, verifiedUserIdentity), claimed/closed status, website URL, contact info (email, phone, country, city, address, zip), profile image, and optional reply behavior metrics (averageDaysToReply, replyPercentage, negativeReviewsWithR

How do I install it?

Run `npx skills add browser-act/skills --skill trustpilot-company-info --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going