A quality review workflow for web pages that people reach after clicking paid advertisements.

Use it to audit landing pages, check whether headlines and offers match the ads, verify tracking requirements, score page quality, and prioritize improvements.

It finds problems with ad-to-page consistency, loading speed, mobile use, trust, forms, and the likelihood that visitors will convert.

ads-landing — Skill for Claude Code and Codex by itsjwill/ad-audit-pro

Install

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.

Any agent

npx skills add itsjwill/ad-audit-pro --skill ads-landing

Clone the repo

git clone --depth 1 https://github.com/itsjwill/ad-audit-pro

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-landing/github.svg)](https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-landing)

Your own site

<a href="https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-landing"><img src="https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-landing/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-landing"><img src="https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-landing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,410 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod in the catalogue.

Token cost

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	$0.00063	$0.01410
Opus 5.5	$0.00025	$0.00564
Sonnet 5.5	$0.00013	$0.00282
Haiku 4.5	$0.00006	$0.00141

Measured 2mo ago against content hash c77bd9ed85d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ads-landing 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 2mo 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.

Origin

This is a copy

100% identical to ads-landing — 1 line 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.

skills/ads-landing/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Landing Page Quality for Ad Campaigns

Process

Collect landing page URLs from active ad campaigns
Read ads/references/benchmarks.md for conversion rate benchmarks
Read ads/references/conversion-tracking.md for pixel/tag verification
Assess each landing page for ad-specific quality factors
Score landing pages and identify improvement opportunities
Generate recommendations prioritized by conversion impact

Message Match Assessment

The #1 landing page issue in ad campaigns — does the page match the ad?

What to Check

Headline match: landing page H1 reflects ad copy headline/keyword
Offer match: promoted offer (price, discount, trial) is visible above fold
CTA match: landing page CTA matches ad's promised action
Visual match: consistent imagery between ad creative and page
Keyword match: search keyword appears naturally in page content

Message Match Scoring

Level	Description	Score
Exact match	Headline, offer, CTA all align perfectly	100%
Partial match	Headline matches but offer/CTA differs	60%
Weak match	Generic page, loosely related to ad	30%
Mismatch	Page content doesn't reflect ad promise	0%

Page Speed Assessment

Slow pages kill conversion rates. For every 1s delay, CVR drops ~7%.

Thresholds (Ad Landing Pages)

Metric	Pass	Warning	Fail
LCP	<2.5s	2.5-4.0s	>4.0s
FID/INP	<100ms	100-200ms	>200ms
CLS	<0.1	0.1-0.25	>0.25
Time to Interactive	<3.0s	3.0-5.0s	>5.0s
Page weight	<2MB	2-5MB	>5MB

Common Speed Issues in Ad Pages

Hero images not compressed (use WebP/AVIF)
Too many third-party scripts (chat widgets, analytics, heatmaps)
Render-blocking CSS/JS above fold
No lazy loading for below-fold content
Font files not preloaded

Mobile Experience

75%+ of ad clicks come from mobile. Mobile experience is critical.

Mobile Checklist

Tap targets: ≥48x48px with ≥8px spacing
Font size: ≥16px body text (no pinch-to-zoom needed)
Form fields: properly sized, keyboard type matches input (email, phone, number)
CTA button: full-width on mobile, visible without scrolling
No horizontal scroll
Images responsive and properly sized
Phone number clickable (tel: link)
No interstitials or popups blocking content on load

Read the full file on GitHub · 160 lines

Changes

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.

2mo ago First seen · 160 lines · 63 tokens per session scan A c77bd9ed85d2

Subscribe to this mod's changes

ads-landing is a skill published in the GitHub repository itsjwill/ad-audit-pro (9 stars, last pushed 8mo ago), licensed MIT. It adds 63 tokens to every session and 1,410 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ads-landing, differing in 1 line, and is treated as a copy.

Claude Code Marketing and SEO ad-audit advertising ai-tools claude-code-skill claude-skill

ads-landing next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ads-landingitsjwill/ad-audit-pro	Skill	9	8mo ago	MIT	A	63	Claude Code, Codex
reddit-intelcarrielabs/reddit-intel	Skill	2	6mo ago	none	A	81	Claude Code, Codex
procure-to-pay-advisorVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	32	Claude Code
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azure-maestroVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	70	Claude Code
accounting-maestroVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	93	Claude Code
model-registry-refreshVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	79	Claude Code