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 rediumvex/ai-marketing-claude --skill market-funnelgit clone --depth 1 https://github.com/rediumvex/ai-marketing-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/rediumvex/ai-marketing-claude/market-funnel)<a href="https://agentmods.dev/skills/rediumvex/ai-marketing-claude/market-funnel"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-marketing-claude/market-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/rediumvex/ai-marketing-claude/market-funnel"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-marketing-claude/market-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 | $0.00077 | $0.01398 |
| Opus 5 | $0.00039 | $0.00699 |
| Sonnet 5 | $0.00015 | $0.00280 |
| Haiku 4.5 | $0.00008 | $0.00140 |
Grade A, and why
market-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 12d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Funnel — Full Journey Diagnosis
Model the full funnel, identify where prospects drop off, and hand back an analytics spec the client's engineer can implement directly.
The 6 Funnel Stages
| Stage | Goal | Key metric |
|---|---|---|
| 1. Awareness | Get in front of the right audience | Impressions, reach, branded search |
| 2. Acquisition | Earn the click | CTR, referral traffic, CAC |
| 3. Activation | First value moment | Signup rate, first-action rate |
| 4. Revenue | First purchase or trial conversion | Trial→paid, ARPU |
| 5. Retention | Continued use | DAU/MAU, churn, repeat rate |
| 6. Referral | Organic growth | NPS, referral rate, virality coefficient |
Pirate metrics (AARRR) plus Awareness, adapted for 2025 realities.
Workflow
- Map the existing funnel based on what's visible: the home page, the pricing page, the signup flow, the app/experience.
- Score each stage 0–10 using the rubrics below.
- Name the leak — the stage with the steepest drop-off relative to benchmark.
- Propose fixes per stage with expected impact.
- Write the GA4 event spec — every event name, params, when it fires.
Stage Rubrics
1. Awareness (0–10)
- Channels in use (organic, paid, social, referral, partnerships)
- Branded vs non-branded traffic mix
- Share of voice vs competitors (ballpark from search data)
- Content cadence
2. Acquisition (0–10)
- Landing page → form view rate
- Page load speed
- Hero-to-CTA distance
- Ad / organic message match
3. Activation (0–10)
- Signup friction (fields, steps, time)
- First value moment — is there a "wow" before the user has to commit?
- Empty state quality
- Onboarding sequence present?
4. Revenue (0–10)
- Trial length and gating
- Pricing page clarity
- Checkout friction
- Payment options
- Refund/cancel policy transparency
5. Retention (0–10)
- Product usage signal (if visible)
- Lifecycle emails
- Re-engagement paths
- Churn recovery
6. Referral (0–10)
- Explicit referral program
- Shareable moments built in
- Testimonial capture
- UGC encouragement
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.
- 12d ago First seen · 143 lines · 77 tokens per session scan A 4180491f2946
market-funnel is a skill published in the GitHub repository rediumvex/ai-marketing-claude (38 stars, last pushed 5mo ago), licensed MIT. It adds 77 tokens to every session and 1,398 once invoked, about $0.0004 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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