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 indranilbanerjee/digital-marketing-pro --skill landing-page-auditgit clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-proWrote 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/indranilbanerjee/digital-marketing-pro/landing-page-audit)<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/landing-page-audit"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/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/indranilbanerjee/digital-marketing-pro/landing-page-audit"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/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 | $0.00141 | $0.00816 |
| Opus 5 | $0.00071 | $0.00408 |
| Sonnet 5 | $0.00028 | $0.00163 |
| Haiku 4.5 | $0.00014 | $0.00082 |
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 5d 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/digital-marketing-pro:landing-page-audit
Purpose
Evaluate a landing page across six key conversion dimensions and deliver a scored assessment with specific, actionable recommendations to improve conversion rate.
Input Required
The user must provide (or will be prompted for):
- Landing page URL: The page to audit
- Traffic source: Where visitors come from (paid search, social ads, email, organic)
- Target action: Desired conversion (form submit, purchase, signup, download, call)
- Ad copy or email: The upstream message driving traffic (for message match analysis)
- Current conversion rate: If known, for benchmarking
Process
- Load brand context: Read
~/.claude-marketing/brands/_active-brand.jsonfor the active slug, then load~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at~/.claude-marketing/brands/{slug}/guidelines/_manifest.json— if present, load restrictions and relevant category files. Check for custom templates at~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults. - Above-fold clarity (score 1-10): Headline clarity, value proposition, visual hierarchy, CTA visibility within first viewport
- Trust signals (score 1-10): Social proof, testimonials, logos, security badges, guarantees, reviews
- Form friction (score 1-10): Number of fields, field labels, error handling, progressive disclosure, mobile form UX
- Message match (score 1-10): Alignment between traffic source (ad/email) and landing page headline, imagery, offer
- Page speed (score 1-10): Load time, Core Web Vitals, render-blocking resources, image optimization
- Mobile experience (score 1-10): Responsive design, tap targets, scroll depth, mobile-specific CTAs
- Calculate overall score and benchmark against industry averages
- Prioritize recommendations by expected conversion impact
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.
- 5d ago First seen · 52 lines · 141 tokens per session scan A 10a1471c9987
landing-page-audit is a skill published in the GitHub repository indranilbanerjee/digital-marketing-pro (812 stars, last pushed 5d ago), licensed MIT. It adds 141 tokens to every session and 816 once invoked, about $0.0007 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 2026-09-07.
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