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 T4wroot/agentic-seo --skill serp-featuresgit clone --depth 1 https://github.com/T4wroot/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/t4wroot/agentic-seo/serp-features)<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/serp-features"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/serp-features/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/t4wroot/agentic-seo/serp-features"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/serp-features.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 | $0.00130 | $0.03300 |
| Opus 5 | $0.00065 | $0.01650 |
| Sonnet 5 | $0.00026 | $0.00660 |
| Haiku 4.5 | $0.00013 | $0.00330 |
Grade A, and why
serp-features 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.
This is a copy
100% identical to serp-features — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO On-Page: SERP Features
Guides SERP (Search Engine Results Page) features: types, obtainability, and optimization. ~98.5% of Google's first page includes SERP features; rich results receive ~58% of clicks vs 41% for standard listings. Understanding SERP features helps prioritize keywords and content strategy.
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.
Scope
- SERP feature types: Organic enhancements, universal results, paid, knowledge
- Obtainability: Which features are achievable; which require authority/partnerships
- Optimization: Content, schema, and structure for each feature type
- Impact: CTR, zero-click, traffic implications
What Is a SERP Feature?
A SERP feature is any result on a search results page that is not a traditional organic blue link. Features provide quick answers, visual enhancements, or alternative result types (images, local, news, etc.).
Rich Results vs Featured Snippets
| Dimension | Rich Results | Featured Snippets |
|---|---|---|
| Location | Within standard organic listings; enhance a blue link | Above organic results; "position zero" |
| Generation | Structured data (Schema/JSON-LD) added by site owner | Google extracts from page content; no schema required |
| Display | Star ratings, prices, images, breadcrumbs, FAQ dropdowns | Extracted text in highlighted box; paragraph, list, table, or video |
| Ranking | Do not require high organic rank to appear | Page must rank in top ~10 for the query |
| Industry | Often content-specific (recipes, products, events, reviews) | Versatile; most industries |
| CTR | Typically increase CTR (up to ~35%); enhanced visibility | Can increase or reduce clicks (zero-click when answer suffices) |
Rich results = schema-powered enhancements to regular listings. Featured snippets = Google-extracted answer boxes at position zero. Both are SERP features; rich results are a subset driven by structured data. Onely, Seranking
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 First seen · 202 lines · 130 tokens per session scan A dcba2ed6624a
serp-features is a skill published in the GitHub repository T4wroot/agentic-seo (15 stars, last pushed 8d ago), licensed MIT. It adds 130 tokens to every session and 3,300 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to serp-features, differing in 0 lines, and is treated as a copy.
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