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 dalroot/agentic-seo --skill faqgit clone --depth 1 https://github.com/dalroot/agentic-seoWrote 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/dalroot/agentic-seo/faq)<a href="https://agentmods.dev/skills/dalroot/agentic-seo/faq"><img src="https://agentmods.dev/badge/skills/dalroot/agentic-seo/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.
<a href="https://agentmods.dev/skills/dalroot/agentic-seo/faq"><img src="https://agentmods.dev/badge/skills/dalroot/agentic-seo/faq.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00113 | $0.02003 |
| Opus 5.5 | $0.00045 | $0.00801 |
| Sonnet 5.5 | $0.00023 | $0.00401 |
| Haiku 4.5 | $0.00011 | $0.00200 |
Grade A, and why
faq-page-generator 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 today.
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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pages: FAQ
Guides FAQ page content, structure, and optimization for SEO, conversion, and rich results (PAA, Featured Snippet, GEO, PASF). FAQ content from real user questions and rich-result targeting.
When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
FAQ and Rich Results
| Feature | Relationship | Optimization |
|---|---|---|
| People Also Ask (PAA) | FAQ schema triggers PAA-style dropdowns; PAA questions = FAQ source | FAQPage schema; match question phrasing; "how/what/why" format. PAA ~51% of searches. See serp-features |
| Featured Snippet | Answers extracted for position zero | 40-60 words; answer-first; H2/H3; paragraph (70%), list (19%), table (6%). See featured-snippet |
| GEO / AI Overviews | AI cites FAQ blocks; FAQ most cited content type (3-7x more citations) | Self-contained; 40-80 words; entity signals; content in initial HTML. See geo |
| People Also Search For (PASF) | Appears when user bounces; comprehensive FAQ reduces bounce | Match intent; cover related questions. PASF shows 6-8 related queries. |
| FAQ rich result | FAQPage schema; max 2 dropdowns per SERP | Restricted to government/health in many regions; schema still helps PAA, voice, AI |
PAA vs PASF: PAA = expandable question boxes (same SERP). PASF = related queries after bounce. Both benefit from comprehensive, intent-matching content.
Content Sources
Real user: Support tickets, chat logs, sales objections, surveys, reviews.
Rich-result purpose: PAA (search keyword, extract questions), AnswerThePublic, AlsoAsked, Featured Snippet queries, competitor FAQ, keyword research, GEO citation data.
Reverse flow: Use PAA, Featured Snippet, GSC Search queries to find questions you rank for but don't answer.
Content Structure
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.
- today First seen · 151 lines · 113 tokens per session scan A dab8926d9ffc
faq-page-generator is a skill published in the GitHub repository dalroot/agentic-seo (25 stars, last pushed 6d ago), licensed MIT. It adds 113 tokens to every session and 2,003 once invoked, about $0.0005 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 2026-10-26.
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