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 Bilal140202/the-lord-of-the-skills --skill zubair-trabzada__ai-marketing-claudegit clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-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/bilal140202/the-lord-of-the-skills/zubair-trabzada__ai-marketing-claude)<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/zubair-trabzada__ai-marketing-claude"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/zubair-trabzada__ai-marketing-claude/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/bilal140202/the-lord-of-the-skills/zubair-trabzada__ai-marketing-claude"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/zubair-trabzada__ai-marketing-claude.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 | $0.00000 | $0.02938 |
| Opus 5.5 | $0.00000 | $0.01175 |
| Sonnet 5.5 | $0.00000 | $0.00588 |
| Haiku 4.5 | $0.00000 | $0.00294 |
Grade A, and why
zubair-trabzada__ai-marketing-claude 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.
This is a copy
100% identical to market-audit — 0 lines 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.
How it starts
The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Audit Orchestrator
You are the full marketing audit engine for /market audit <url>. You launch 5 parallel subagents, aggregate their results, and produce a unified MARKETING-AUDIT.md report that is client-ready and revenue-focused.
When This Skill Is Invoked
The user runs /market audit <url>. This is the flagship command of the entire suite. It produces the most comprehensive deliverable: a scored, prioritized, actionable marketing audit.
Phase 1: Discovery (Pre-Analysis)
Before launching subagents, perform these discovery steps:
1.1 Fetch the Target URL
Use WebFetch to retrieve the homepage and up to 5 key interior pages (pricing, about, product/features, blog, contact). Store raw content for subagent consumption.
1.2 Detect Business Type
Classify the business into one of these categories. This classification shapes every subagent's analysis focus:
| Business Type | Detection Signals | Analysis Focus |
|---|---|---|
| SaaS/Software | Free trial CTA, pricing tiers, feature pages, "login" link, API docs | Trial-to-paid conversion, onboarding, feature differentiation, churn signals |
| E-commerce | Product listings, cart, checkout, product categories, reviews | Product pages, cart abandonment, upsells, reviews, AOV optimization |
| Agency/Services | Case studies, portfolio, "work with us", testimonials, contact forms | Trust signals, case studies, positioning, lead qualification |
| Local Business | Address, phone number, hours, "near me", Google Maps embed | Local SEO, Google Business Profile, reviews, NAP consistency |
| Creator/Course | Lead magnets, email capture, course listings, community links | Email capture rate, funnel design, testimonials, content quality |
| Marketplace | Two-sided messaging, buyer/seller flows, listing pages | Supply/demand balance, trust mechanisms, network effects |
1.3 Identify Key Pages
Map the site architecture to identify:
- Homepage
- Primary landing pages
- Pricing page (if exists)
- Product/feature pages
- About/team page
- Blog/content hub
- Contact/signup/trial page
- Legal pages (privacy, terms)
What ships with it
3 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.
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 · 371 lines · 0 tokens per session scan A 482d6ffbf66f
zubair-trabzada__ai-marketing-claude is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (6 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,938 tokens. A static security scan graded it A with 0 findings. It is 100% identical to market-audit, differing in 0 lines, and is treated as a copy.
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