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 seranking/seo-skills --skill seo-agency-landing-pagegit clone --depth 1 https://github.com/seranking/seo-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/seranking/seo-skills/seo-agency-landing-page)<a href="https://agentmods.dev/skills/seranking/seo-skills/seo-agency-landing-page"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-agency-landing-page/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/seranking/seo-skills/seo-agency-landing-page"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-agency-landing-page.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 | $0.00104 | $0.01604 |
| Opus 5 | $0.00052 | $0.00802 |
| Sonnet 5 | $0.00021 | $0.00321 |
| Haiku 4.5 | $0.00010 | $0.00160 |
Grade A, and why
seo-agency-landing-page 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- seo-agency-landing-page — 92% identical, 8 lines differ
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.
Example output: examples/seo-agency-landing-page-saas-founders-20260514/copy.md
Agency Landing Page
Produce a production-ready landing page for an SEO agency offering a free audit as the lead magnet, with the audit promise backed by a real data workflow, not just copy.
Prerequisites
- SE Ranking MCP server connected.
- User provides: (a) agency name, (b) target vertical or niche the agency serves (e.g., "SaaS", "local dentists", "DTC ecommerce"), (c) the agency's website or positioning, and optionally (d) a sample client domain to pull real numbers from for case-study copy.
Process
-
Niche data pull
DATA_getDomainOverviewWorldwide,DATA_getDomainCompetitors,DATA_getAiOverview- If a sample client domain was provided, pull their organic traffic, top competitors, and AI Overview exposure.
- Extract 3 concrete, pitchable numbers for the page (e.g., "agencies in this niche average 12k organic visits/mo. Top performers average 180k.").
-
Pain-point discovery
- Use niche-level findings to identify the 3 most acute SEO pains for this vertical (e.g., AI Overviews eating top-of-funnel traffic, cannibalisation in product pages, thin category pages).
- Each pain becomes a section of the page.
-
Offer construction
- Primary offer: a free 5-minute automated SEO audit delivered to their inbox.
- Secondary offer: book a 30-minute strategy call once audit is received.
- Lead form: 3 fields max (name, work email, domain).
-
Proof layer
- Case-study placeholder blocks with real metric deltas (user fills names).
- Logo bar (user fills with 4-6 clients).
- A "data snapshot" block that uses the real numbers from step 1 (builds trust instantly).
-
CTA and urgency
- Above-the-fold CTA.
- Mid-page CTA after social proof.
- Final CTA after FAQ.
- Urgency: "We cap free audits at {n}/month" (user fills n).
-
Generate the page (see Output Format).
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 · 151 lines · 104 tokens per session scan A dcecb665e7d1
seo-agency-landing-page is a skill published in the GitHub repository seranking/seo-skills (140 stars, last pushed 2mo ago), licensed MIT. It adds 104 tokens to every session and 1,604 once invoked, about $0.0005 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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