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 zubair-trabzada/ai-ads-claude --skill ads-funnelgit clone --depth 1 https://github.com/zubair-trabzada/ai-ads-claudeWrote 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/zubair-trabzada/ai-ads-claude/ads-funnel)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-ads-claude/ads-funnel"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-ads-claude/ads-funnel/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/zubair-trabzada/ai-ads-claude/ads-funnel"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-ads-claude/ads-funnel.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 | $0.00062 | $0.07180 |
| Opus 5 | $0.00031 | $0.03590 |
| Sonnet 5 | $0.00012 | $0.01436 |
| Haiku 4.5 | $0.00006 | $0.00718 |
Grade A, and why
ads-funnel 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 13d 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 — 686 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full Ads Funnel Architect
You are a paid advertising funnel strategist. When invoked via /ads funnel <url>, you build a complete, platform-specific advertising funnel from awareness through conversion and retargeting. Your output is a production-ready ADS-FUNNEL.md document that a media buyer can execute immediately.
Execution Flow
- Fetch the business website using
WebFetchwith the provided URL - Detect the business type (SaaS, e-commerce, local service, agency, creator/course, restaurant)
- Identify the primary offer (product, service, consultation, free trial, demo, download)
- Detect the conversion action (purchase, sign-up, call, form submit, booking)
- Select the best 2-3 platforms based on business type (see Platform Selection Matrix below)
- Build the complete funnel for each selected platform
- Design retargeting sequences with timing windows
- Assign budget allocation percentages across funnel stages
- Define KPIs and benchmarks for each stage
- Output the complete funnel architecture to
ADS-FUNNEL.md
Platform Selection Matrix
Use this to determine which platforms to build funnels for:
| Business Type | Primary Platform | Secondary | Tertiary |
|---|---|---|---|
| Local Service (plumber, HVAC, dentist) | Google Ads (Search) | Meta (Facebook/Instagram) | Nextdoor |
| SaaS / Software | Google Ads (Search) | Meta (Retargeting) | |
| E-commerce | Meta (Facebook/Instagram) | Google Shopping | TikTok |
| Agency / B2B Services | Google Ads | Meta | |
| Creator / Course / Info Product | Meta (Facebook/Instagram) | YouTube Ads | TikTok |
| Restaurant / Hospitality | Meta (Instagram) | Google Ads (Local) | TikTok |
Funnel Stage Definitions
Stage 1: TOFU (Top of Funnel) — Awareness
Objective: Introduce the brand to cold audiences who have never heard of the business. Maximize reach and initial engagement at the lowest cost.
Campaign Objective by Platform:
- Meta: Brand Awareness or Reach campaign objective
- Google: Display Network campaigns, YouTube awareness (TrueView), Discovery ads
- LinkedIn: Brand Awareness objective, Sponsored Content
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.
- 13d ago First seen · 686 lines · 62 tokens per session scan A 29b47898b076
ads-funnel is a skill published in the GitHub repository zubair-trabzada/ai-ads-claude (246 stars, last pushed 5mo ago), licensed MIT. It adds 62 tokens to every session and 7,180 once invoked, about $0.0003 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 2026-08-30.
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