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 itallstartedwithaidea/agent-skills --skill landing-page-auditgit clone --depth 1 https://github.com/itallstartedwithaidea/agent-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/itallstartedwithaidea/agent-skills/landing-page-audit)<a href="https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/landing-page-audit"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/landing-page-audit/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/itallstartedwithaidea/agent-skills/landing-page-audit"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/landing-page-audit.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 | $0.00032 | $0.02671 |
| Opus 5.5 | $0.00013 | $0.01068 |
| Sonnet 5.5 | $0.00006 | $0.00534 |
| Haiku 4.5 | $0.00003 | $0.00267 |
Grade A, and why
landing-page-audit 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 1mo 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 — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Page Audit
Part of Agent Skills™ by googleadsagent.ai™
Description
The Landing Page Audit skill performs comprehensive evaluations of post-click experiences, combining technical performance analysis with conversion rate optimization (CRO) assessment. Landing page quality directly impacts Google Ads Quality Score, conversion rates, and ultimately the profitability of every advertising dollar. This skill audits the three pillars of landing page effectiveness: speed, relevance, and persuasion.
Technical performance analysis centers on Core Web Vitals — Largest Contentful Paint (LCP), First Input Delay (FID) / Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS). Google uses these metrics as direct signals for landing page experience scoring. The skill measures real-world performance across devices, identifies render-blocking resources, analyzes critical rendering paths, and produces actionable speed optimization recommendations with estimated Quality Score impact.
The relevance and CRO layer evaluates message match between ad copy and landing page content, assesses call-to-action clarity and prominence, analyzes form design and friction points, checks mobile responsiveness, evaluates trust signals (reviews, certifications, security indicators), and benchmarks conversion elements against industry-specific best practices. The output is a scored assessment with prioritized improvement recommendations ranked by expected conversion rate impact.
Use When
- User asks for a "landing page audit" or "page review"
- User mentions "landing page experience" Quality Score component
- User wants to "improve conversion rate" or "CRO analysis"
- User asks about "page speed" or "Core Web Vitals"
- User mentions "low conversion rate" on specific pages
- User wants to "improve Quality Score" landing page component
- User asks about "mobile landing page" performance
- User mentions "message match" between ads and landing pages
- User wants "form optimization" or "CTA optimization" advice
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.
- 1mo ago First seen · 264 lines · 32 tokens per session scan A 62e79c2ab140
landing-page-audit is a skill published in the GitHub repository itallstartedwithaidea/agent-skills (44 stars, last pushed 6mo ago), licensed MIT. It adds 32 tokens to every session and 2,671 once invoked, about $0.0001 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 2026-08-30.
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