faq

faq is a skill for Claude Code, Codex from thedaviddias/Front-End-Checklist. It costs 45 tokens per session (725 once invoked), scanned A, original, MIT.

A guide for adding frequently asked questions to pages and describing them with FAQPage JSON-LD, a machine-readable data format.

In plain words
What is it for?
Use it to add FAQ sections, generate structured data from existing questions and answers, and validate that data.
Why use it?
It helps keep visible FAQ content and search-engine metadata accurate and correctly formed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to add FAQ sections, generate structured data from existing questions and answers, and validate that data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thedaviddias/front-end-checklist/faq
About the project

Front-End Checklist is a collection of front-end web development rules organized as a practical review and quality workflow for people and AI agents. Developers use it to audit projects and pull requests, check implementation details, and find guidance for remediation and verification. The catalogue entries provide skills, instructions, MCP tools, and a plugin for using the checklist in agent workflows.

thedaviddias/Front-End-Checklist · 74,577 stars · on GitHub · frontendchecklist.io

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add thedaviddias/Front-End-Checklist --skill faq
Clone the repo
git clone --depth 1 https://github.com/thedaviddias/Front-End-Checklist

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for faq

README.md
[![agentmods](https://agentmods.dev/badge/skills/thedaviddias/front-end-checklist/faq/github.svg)](https://agentmods.dev/skills/thedaviddias/front-end-checklist/faq)
Your own site
<a href="https://agentmods.dev/skills/thedaviddias/front-end-checklist/faq"><img src="https://agentmods.dev/badge/skills/thedaviddias/front-end-checklist/faq/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for faq

Your own site · 80×15
<a href="https://agentmods.dev/skills/thedaviddias/front-end-checklist/faq"><img src="https://agentmods.dev/badge/skills/thedaviddias/front-end-checklist/faq.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 725 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.00725
Opus 5.5 $0.00018 $0.00290
Sonnet 5.5 $0.00009 $0.00145
Haiku 4.5 $0.00005 $0.00072

Measured 23d ago against content hash beea99dada49, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

faq scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 23d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/faq/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Add FAQPage schema markup

Valid FAQPage structured data can generate rich results in Google Search, displaying expandable question-and-answer pairs directly in the SERP. This increases click-through rate and SERP real estate without requiring a higher ranking position.

Quick Reference

  • Add FAQPage JSON-LD with mainEntity question/answer pairs to pages that contain FAQ sections
  • Each Question must include acceptedAnswer with an Answer type containing the text property
  • Only use FAQPage schema when the page actually contains FAQ-style question-and-answer content visible to users

Check

Check pages that contain FAQ or Q&A sections. For each: (1) Is there a <script type="application/ld+json"> block with "@type": "FAQPage"? (2) Does it include a mainEntity array of Question objects? (3) Does each Question have a name (the question text) and an acceptedAnswer with "@type": "Answer" and a text property? (4) Does the schema content match what is visible on the page?

Fix

  1. Identify pages with FAQ-style content (a section of questions and answers visible to users).
  2. Add a JSON-LD script to the page <head> or <body>:
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "How do I reset my password?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Click 'Forgot password' on the login page and enter your email address. You will receive a reset link within 5 minutes."
      }
    }
  ]
}
  1. Validate the markup using Google's Rich Results Test at https://search.google.com/test/rich-results.
  2. Ensure every question in the schema has a corresponding visible answer on the page.

Explain

FAQPage structured data enables Google to display expandable Q&A pairs directly in search results as a rich result. This increases the page's visible footprint in the SERP and can improve click-through rate. Invalid or mismatched schema (questions in markup not visible on page) will cause Google to ignore it and may trigger a manual action.

Read the full file on GitHub · 65 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 23d ago Changed beea99dada49
  2. 1mo ago First seen · 65 lines · 45 tokens per session scan A 1d78e78f6664

Subscribe to this mod's changes

faq is a skill published in the GitHub repository thedaviddias/Front-End-Checklist (74,577 stars, last pushed 21d ago), licensed MIT. It adds 45 tokens to every session and 725 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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