A skill your agent uses when applies to product pages, local business pages, recipes, apps, books, and any page that aggregates user reviews.

MITAuto-check passedMarketing & SEO

Install Review

skills CLI
$ npx skills add thedaviddias/Front-End-Checklist --skill review -a claude-code

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

GitHub CLI
$ gh skill install thedaviddias/Front-End-Checklist review --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/thedaviddias/Front-End-Checklist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/review .claude/skills/review && 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
review
GitHub stars
74k
Token cost
~556 tokens
SKILL.md length
228 words
Files
2 (incl. references)
Skills in repo
390
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when applies to product pages, local business pages, recipes, apps, books, and any page that aggregates user reviews.

  • Applies to product pages
  • SKILL.md covers Quick Reference, Check, Fix and Explain, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Local business pages

What it does

Review is an agent skill from thedaviddias/Front-End-Checklist. Use when applies to product pages, local business pages, recipes, apps, books, and any page that aggregates user reviews. Use when auditing rich result eligibility for e-commerce or review sites.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/rule.md`).

It sits in Marketing & SEO, covering Schema markup and E-commerce operations. The repository describes itself as: 🗂 The essential checklist for modern web development, for humans and AI agents. The licence is MIT.

When your agent uses it

  • Applies to product pages
  • Local business pages
  • Any page that aggregates user reviews
  • Auditing rich result eligibility for e-commerce

Example prompts

  • “/review”

What it can do on your machine

Read from SKILL.md and the folder at commit e8d14d0. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    Links to these hosts (documentation or services it may open):

    • frontendchecklist.io

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Review loads about 556 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 228 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~556
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

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 thedaviddias/Front-End-Checklist at commit e8d14d0, republished under its MIT licence (© thedaviddias). 228 words, ~556 tokens.

Download SKILL.mdSave it as .claude/skills/review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
review
description
Use when applies to product pages, local business pages, recipes, apps, books, and any page that aggregates user reviews. Use when auditing rich result eligibility for e-commerce or review sites.
metadata.category
seo
metadata.priority
medium
metadata.difficulty
intermediate
metadata.estimatedTime
10
metadata.source
frontendchecklist.io
metadata.url
https://frontendchecklist.io/rules/seo/review

Add Review schema markup

Star ratings in search results increase click-through rates by up to 35%; incorrect or missing schema means competitors with valid markup capture that visibility advantage.

Quick Reference

  • Use Review schema on individual review pages and AggregateRating on product/service pages to earn star-rating rich results
  • AggregateRating requires ratingValue, ratingCount or reviewCount, and valid bestRating / worstRating values
  • Ratings must reflect genuine user reviews — Google penalises self-serving or fabricated ratings
  • Validate markup with Google's Rich Results Test before deploying

Check

Inspect the page source or rendered DOM for JSON-LD blocks containing "@type": "Review" or "@type": "AggregateRating". Verify required properties are present: ratingValue, ratingCount/reviewCount, bestRating. Run the URL through Google's Rich Results Test.

Fix

Add a JSON-LD <script> block with AggregateRating nested inside the main entity (Product, LocalBusiness, etc.). Populate ratingValue and ratingCount from real review data. Remove any schema on pages with no genuine user reviews.

Explain

Explain how Review and AggregateRating schema work, which page types are eligible for star-rating rich results in Google Search, and why fabricated ratings violate Google's structured data guidelines.

Code Review

Review metadata generation, rendered HTML, structured data, and response headers related to Add Review schema markup. Flag exact routes or templates where search-facing output violates the rule, and describe how to verify the final page output.


For full implementation details, code examples, and framework-specific guidance, see references/rule.md.

Rule page: https://frontendchecklist.io/rules/seo/review

© thedaviddias, 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 (references) in skills/review of thedaviddias/Front-End-Checklist.

  • SKILL.md
  • references/rule.md

Open the folder on GitHubat commit e8d14d0

Compare with similar skills

Review 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.

Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review this skillthedaviddias/Front-End-Checklist74k—~556Automated safety check: PassMIT
Product Page SEOnexscope-ai/eCommerce-Skills1.1k—~600Automated safety check: PassMIT
Schema Validatorharukiseller-droid/commerce-agent-bench101—~369Automated safety check: PassMIT
SEOAgriciDaniel/codex-seo799—~3.7kAutomated safety check: PassMIT
Extractactionbook/actionbook1.6k2 repos~3.4kAutomated safety check: PassApache-2.0
Amazon Listing Competitor Analysisbrowser-act/skills6.1k1 repos~3.2kAutomated safety check: PassMIT

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All 390 skills in this repo
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  • FAQPage Schema Markup

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    74k GitHub stars~774 tokensUpdated 5 days ago
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  • Favicon Audit and Setup

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    Checks that a site's favicon is linked, reachable and large enough for Google search results, and sets up ICO, SVG and Apple touch icon files when they are missing.

    74k GitHub stars~731 tokensUpdated 5 days ago
    Auto-check passed
  • Content Freshness Signals

    thedaviddias/Front-End-Checklist

    Audits article pages for freshness signals, covering the Last-Modified header, Article JSON-LD dateModified and a visible last-updated date, and fixes mismatches.

    74k GitHub stars~741 tokensUpdated 5 days ago
    Auto-check passed
  • Geo Meta Tags Audit

    thedaviddias/Front-End-Checklist

    Audits and fixes geo.region, geo.placename and geo.position meta tags on regional pages, noting where they help (Bing) and where they do not (Google).

    74k GitHub stars~763 tokensUpdated 5 days ago
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  • Improve a Front-End Checklist Rule

    thedaviddias/Front-End-Checklist

    Scores and rewrites a Front-End Checklist rule MDX file against a scored quality rubric, replacing generic stub prompts with specific, actionable ones.

    74k GitHub stars~1.3k tokensUpdated 5 days ago
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Questions about Review

What does Review do?

A skill your agent uses when applies to product pages, local business pages, recipes, apps, books, and any page that aggregates user reviews. Review is an agent skill from thedaviddias/Front-End-Checklist. Use when applies to product pages, local business pages, recipes, apps, books, and any page that aggregates user reviews.

When should I use Review?

Review fits situations like: applies to product pages; local business pages; any page that aggregates user reviews; auditing rich result eligibility for e-commerce.

How do I install Review in Claude Code?

Run `npx skills add thedaviddias/Front-End-Checklist --skill review -a claude-code`. Or copy the skill folder (skills/review in thedaviddias/Front-End-Checklist) into .claude/skills/review in your project. Claude Code loads it when a task matches its description.

How do I install Review in Codex?

Run `npx skills add thedaviddias/Front-End-Checklist --skill review -a codex`. Or copy the skill folder (skills/review in thedaviddias/Front-End-Checklist) into .agents/skills/review in your project. Codex loads it when a task matches its description.

Can I use Review 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 thedaviddias/Front-End-Checklist --skill review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review, .gemini/skills/review, .github/skills/review and .opencode/skills/review in your project.

What does Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Review is instructions for the agent only.

Does Review access the network?

SKILL.md names 1 domain. As links in the text: frontendchecklist.io. This is read from the text; nothing was executed.

Is Review 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 Review use?

Review 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 Review use?

About 556 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1k tokens, read only when the agent opens those files.

What are the alternatives to Review?

Skills that share tags, products or a category with Review: Product Page SEO (nexscope-ai/eCommerce-Skills, 1.1k stars), Schema Validator (harukiseller-droid/commerce-agent-bench, 101 stars), SEO (AgriciDaniel/codex-seo, 799 stars) and Extract (actionbook/actionbook, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review?

thedaviddias (a GitHub user) maintains it in thedaviddias/Front-End-Checklist, which has 74,421 GitHub stars. The repository holds 390 skills in this directory. The repository was last updated on October 6, 2026.

Source: thedaviddias/Front-End-Checklist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.