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 calm-north/seojuice-skills --skill target-serpgit clone --depth 1 https://github.com/calm-north/seojuice-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/calm-north/seojuice-skills/target-serp)<a href="https://agentmods.dev/skills/calm-north/seojuice-skills/target-serp"><img src="https://agentmods.dev/badge/skills/calm-north/seojuice-skills/target-serp/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/calm-north/seojuice-skills/target-serp"><img src="https://agentmods.dev/badge/skills/calm-north/seojuice-skills/target-serp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00065 | $0.02397 |
| Opus 5 | $0.00032 | $0.01198 |
| Sonnet 5 | $0.00013 | $0.00479 |
| Haiku 4.5 | $0.00006 | $0.00240 |
Grade A, and why
target-serp 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 12d 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Target SERP
Identify and capture featured snippets, People Also Ask boxes, knowledge panels, and rich results for target keywords.
SERP Feature Types
| Feature | Trigger | Content Format Needed |
|---|---|---|
| Featured Snippet (paragraph) | "What is", "how does", definitional queries | 40-60 word direct answer under an H2/H3 matching the query |
| Featured Snippet (list) | "How to", "steps to", "best", "top" | Ordered or unordered list with H2/H3 heading |
| Featured Snippet (table) | Comparison, pricing, specs queries | HTML <table> with clear headers |
| People Also Ask | Most informational queries | Concise answer (2-3 sentences) under an H2 that matches the PAA question |
| Knowledge Panel | Brand/entity queries | Structured data (Organization, Person), Wikipedia presence, consistent NAP |
| Rich Results (FAQ) | Pages with FAQ content | FAQPage schema markup |
| Rich Results (How-To) | Tutorial/instructional pages | HowTo schema markup |
| Rich Results (Review) | Product/service review pages | Review/AggregateRating schema markup |
| Rich Results (Breadcrumb) | Any page with hierarchy | BreadcrumbList schema markup |
| Sitelinks | Brand queries | Clear site structure, descriptive navigation, internal linking |
SERP Feature Prioritization Matrix
Not all SERP features are equally valuable. Use this to decide where to invest effort:
| SERP Feature | Traffic Impact | Effort to Win | Best For |
|---|---|---|---|
| Featured Snippet | Very High | Medium | Informational content sites |
| AI Overview citation | High (growing) | Medium-High | Authority/expertise sites |
| People Also Ask | Medium-High | Low-Medium | FAQ-rich content |
| Video Carousel | High | High | Tutorial/how-to content |
| Local Pack | Very High (local) | Medium | Local businesses |
| Rich Results (Review) | Medium-High | Low-Medium | Product/service reviews |
| Image Pack | Medium | Low-Medium | Visual content creators |
| Shopping Results | Very High (ecommerce) | Medium | Product sellers |
| Knowledge Panel | Medium (brand) | High (long-term) | Established brands |
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.
- 12d ago First seen · 259 lines · 65 tokens per session scan A 8b1d39505626
target-serp is a skill published in the GitHub repository calm-north/seojuice-skills (21 stars, last pushed 6mo ago), licensed MIT. It adds 65 tokens to every session and 2,397 once invoked, about $0.0003 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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