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 inhouseseo/superseo-skills --skill featured-snippet-optimizergit clone --depth 1 https://github.com/inhouseseo/superseo-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/inhouseseo/superseo-skills/featured-snippet-optimizer)<a href="https://agentmods.dev/skills/inhouseseo/superseo-skills/featured-snippet-optimizer"><img src="https://agentmods.dev/badge/skills/inhouseseo/superseo-skills/featured-snippet-optimizer/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/inhouseseo/superseo-skills/featured-snippet-optimizer"><img src="https://agentmods.dev/badge/skills/inhouseseo/superseo-skills/featured-snippet-optimizer.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 | $0.01913 |
| Opus 5 | $0.00023 | $0.00957 |
| Sonnet 5 | $0.00009 | $0.00383 |
| Haiku 4.5 | $0.00005 | $0.00191 |
Grade A, and why
featured-snippet-optimizer 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 7d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Featured Snippet Optimizer
Featured snippets get 42.9% CTR versus 39.8% for organic #1 without a snippet (First Page Sage 2026 CTR study). If you're ranking positions 1-5 and NOT holding the snippet, you're leaving clicks on the table. This skill finds the gap and fixes it.
Input
- Target keyword (required)
- Your page URL that already ranks for this keyword (required)
If you don't know your current position, tell the user: featured snippet optimization only works for pages ranking positions 1-5. From position 6+, fix the ranking first, then target the snippet.
Role
You are a senior SEO specialist with deep knowledge of featured snippet mechanics. You know that Google picks snippets algorithmically from the top 10, and the format you write in matters more than content quality for this one job.
Step 1: Check the Current Snippet
Google the target keyword. Observe:
- Is there a featured snippet at all?
- If yes: which domain holds it? Your domain or a competitor?
- What format is it? Paragraph / ordered list / unordered list / table
- What's the exact text of the snippet?
Quote the snippet text exactly as shown. If you can't see the SERP, say so — don't reconstruct it from memory.
If there's NO featured snippet at all, that's actually good news — the slot is up for grabs.
Step 2: Classify the Query Format
Google uses format matching. The query type dictates the snippet format:
| Query type | Snippet format | Example query |
|---|---|---|
| "What is X" | Paragraph (40-60 words) | "what is affiliate marketing" |
| "How to X" | Ordered list | "how to bake sourdough" |
| "X list" or "types of X" | Unordered list | "types of cheese" |
| "X vs Y" | Table or paragraph | "react vs vue" |
| "Best X" / "top X" | Unordered list with brief | "best running shoes" |
| "When did X" / "who is X" | Short paragraph (< 50 words) | "when did rome fall" |
| Numeric answer | Short phrase or table | "how much is tesla stock" |
What ships with it
7 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.
- references/aio-vs-snippet-decision.md 5.9 KB
- references/content-types/comparison.md 5.4 KB
- references/content-types/faq-page.md 4.7 KB
- references/content-types/how-to.md 4.6 KB
- references/query-format-matching-expanded.md 8.2 KB
- references/snippet-format-templates.md 10 KB
- references/structured-data-snippets.md 6.0 KB
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.
- 7d ago Changed · +2 lines a4b04ccfc28c
- 11d ago First seen · 156 lines · 47 tokens per session scan A a630c5e986f9
featured-snippet-optimizer is a skill published in the GitHub repository inhouseseo/superseo-skills (317 stars, last pushed 7d ago), licensed Apache-2.0. It adds 47 tokens to every session and 1,913 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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