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.
npx skills add LeadMagic/gtm-skills --skill faq-seogit clone --depth 1 https://github.com/LeadMagic/gtm-skillsWrote 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.
[](https://agentmods.dev/skills/leadmagic/gtm-skills/faq-seo)<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/faq-seo"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/faq-seo/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.
<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/faq-seo"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/faq-seo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.01404 |
| Opus 5 | $0.00023 | $0.00702 |
| Sonnet 5 | $0.00009 | $0.00281 |
| Haiku 4.5 | $0.00005 | $0.00140 |
Grade A, and why
faq-seo 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FAQ SEO
Overview
FAQ content captures featured snippets (position zero), People Also Ask boxes, and voice search results. These are the highest-visibility SERP features — and they're often the lowest-competition ranking opportunities. This skill covers question-driven content strategy.
Authoritative Foundations
- Google Search Central — SEO Starter Guide — Google's foundational SEO resource with structured data documentation, FAQ schema guidance, and content quality standards.
- Schema.org FAQPage Specification — Structured data standard enabling rich results and AI engine parsing of question-and-answer content.
- Ahrefs — People Also Ask Mining — Research methodology for identifying and prioritizing question-based content from search engine PAA boxes.
- Google Search Central — SEO Starter Guide — SEO Starter Guide
When to Use
- "Build FAQ content"
- "Target featured snippets"
- "People Also Ask strategy"
- "Question-based SEO"
- "Voice search optimization"
Step-by-Step Process
Phase 1: Question Mining
Find the questions your ICP is asking:
- Google People Also Ask: Search your core keywords. Mine the PAA boxes. Expand each question for more PAA questions. Repeat 3-4 levels deep.
- Google Autocomplete: Type your keyword + "how", "what", "why", "when", "where", "can", "do", "is" — capture all suggestions.
- AnswerThePublic / AlsoAsked.com: Automated question mining tools
- Reddit: Search your topic in relevant subreddits. Sort by top posts. Look for questions in post titles and comments.
- Quora: Search your topic. Sort by most followed questions.
- Customer conversations: Sales calls, support tickets, onboarding questions. These are the questions with real business intent behind them.
- Competitor FAQ pages: What questions are they answering? What are they missing that you can own?
Phase 2: Question Prioritization
Score each question on:
- Search volume: 50+ monthly searches preferred
- Business relevance: Does answering this lead to your product?
- Featured snippet opportunity: Does the current snippet suck? (Short answer, no source, from a weak site)
- Competition: Can you outrank the current #1? Check domain rating of the page currently ranking.
What ships with it
4 files 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.
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.
- 4d ago Changed dd9d34e6b452
- 9d ago First seen · 163 lines · 47 tokens per session scan A c877bd42ff00
faq-seo is a skill published in the GitHub repository LeadMagic/gtm-skills (48 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 1,404 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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