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ads-landing

ads-landing is a skill for Claude Code from naveedharri/benai-skills. It costs 63 tokens per session (1,418 once invoked), scanned A, original, MIT.

A checklist for judging the quality of pages people reach after clicking paid advertisements. It examines whether the page matches the ad, loads quickly, works on mobile, builds trust, and supports conversions.

In plain words
What is it for?
Use it to audit advertising landing pages, assess message and visual matching, review forms and trust signals, check mobile experience and speed, and prioritize conversion improvements.
Why use it?
It identifies reasons an advertising click may fail to become a useful action. The review focuses on practical page issues such as mismatched headlines, offers, calls to action, or tracking.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the ads plugin — 14 skills shipped together

not rated 78repo +2 changed 1mo ago A scan SkillSpector: pass 63 tokens original MIT

Good fit Use it to audit advertising landing pages, assess message and visual matching, review forms and trust signals, check mobile experience and speed, and prioritize conversion improvements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/naveedharri/benai-skills/ads-landing
View source ↗ naveedharri/benai-skills
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 naveedharri/benai-skills --skill ads-landing
Clone the repo
git clone --depth 1 https://github.com/naveedharri/benai-skills

Made for: Claude Code.

Or install ads, the plugin that ships this one along with the rest of its 14 skills.

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.

agentmods badge for ads-landing

README.md
[![agentmods](https://agentmods.dev/badge/skills/naveedharri/benai-skills/ads-landing/github.svg)](https://agentmods.dev/skills/naveedharri/benai-skills/ads-landing)
Your own site
<a href="https://agentmods.dev/skills/naveedharri/benai-skills/ads-landing"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/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.

agentmods 80×15 button for ads-landing

Your own site · 80×15
<a href="https://agentmods.dev/skills/naveedharri/benai-skills/ads-landing"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/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 1,418 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.01418
Opus 5.5 $0.00025 $0.00567
Sonnet 5.5 $0.00013 $0.00284
Haiku 4.5 $0.00006 $0.00142

Measured 1mo ago against content hash 69c75b9961aa, 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 1mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/analyze_landing.py, scripts/capture_screenshot.py, scripts/fetch_page.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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

Copies of this mod

2 near-identical copies found in the catalogue:

plugins/ads/skills/ads-landing/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Landing Page Quality for Ad Campaigns

Process

  1. Collect landing page URLs from active ad campaigns
  2. Read ads/references/benchmarks.md for conversion rate benchmarks
  3. Read ads/references/conversion-tracking.md for pixel/tag verification
  4. Assess each landing page for ad-specific quality factors
  5. Score landing pages and identify improvement opportunities
  6. 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 · 161 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

  1. 1mo ago Changed · +1 lines 69c75b9961aa
  2. 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 naveedharri/benai-skills (78 stars, last pushed 28d ago), licensed MIT. It adds 63 tokens to every session and 1,418 once invoked, about $0.0003 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.

Claude CodeMarketing and SEOagent-skillsaianthropicclaudeclaude-plugins
Related

ads-landing compared with skills from other repositories

ads-landing next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ads-landingnaveedharri/benai-skillsSkill7828d agoMITA63Claude Code
projectmodu-ai/moai-coworkSkill31529d agoApache-2.0A475Claude Code
doc-html-slidemodu-ai/moai-coworkSkill31529d agoApache-2.0A438Claude Code
cs-channel-messagemodu-ai/moai-coworkSkill31529d agoApache-2.0A465Claude Code
media-higgsfield-explainermodu-ai/moai-coworkSkill31529d agoApache-2.0A244Claude Code
media-gpt-image-promptmodu-ai/moai-coworkSkill31529d agoApache-2.0A334Claude Code
career-portfoliomodu-ai/moai-coworkSkill31529d agoApache-2.0A124Claude Code