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 reatlat/fullstory-claude-plugin --skill funnel-doctorgit clone --depth 1 https://github.com/reatlat/fullstory-claude-pluginWrote 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/reatlat/fullstory-claude-plugin/funnel-doctor)<a href="https://agentmods.dev/skills/reatlat/fullstory-claude-plugin/funnel-doctor"><img src="https://agentmods.dev/badge/skills/reatlat/fullstory-claude-plugin/funnel-doctor/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/reatlat/fullstory-claude-plugin/funnel-doctor"><img src="https://agentmods.dev/badge/skills/reatlat/fullstory-claude-plugin/funnel-doctor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.01326 |
| Opus 5 | $0.00024 | $0.00663 |
| Sonnet 5 | $0.00010 | $0.00265 |
| Haiku 4.5 | $0.00005 | $0.00133 |
Grade A, and why
funnel-doctor 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Funnel Doctor
Diagnose conversion funnels — find the leakiest step, quantify the loss, and show you the sessions that explain why users leave.
When to Use
- "Where are users dropping off in our checkout flow?"
- "What's the conversion rate from signup to first purchase?"
- "Compare the old onboarding flow vs the new one — did we improve completion?"
- "Show me sessions where users abandoned at the payment step"
- "What's the biggest drop-off in our app? Quantify the lost revenue."
Mental Model
A funnel is a sequence of steps users must complete. The goal is to find the step where the most users leave — not just by absolute count, but by the percentage drop from the previous step.
Example: 10,000 land on /checkout → 8,000 enter shipping → 6,000 reach payment → 2,000 complete purchase. The biggest absolute drop is payment (6,000 → 2,000 = 4,000 lost). The biggest percentage drop is also payment (67% drop). Both matter — present both.
Workflow
Step 1: Define the funnel steps
Clarify what steps the user cares about. Typical funnels:
- E-commerce: product page → add to cart → checkout → shipping → payment → confirmation
- SaaS signup: landing → signup form → email verification → onboarding → first action
- App flow: home → search → results → detail → booking
If the user doesn't specify steps, ask for the start and end point. You can infer the middle steps from page navigation data.
Step 2: Build a funnel metric
Call fullstory:build_metric with:
querydescribing the funnel steps in order (e.g., "users who viewed /checkout, then reached shipping, then reached payment, then completed purchase")output_type="funnel"— this tells the builder to create a sequential funnel, not a simple count
If a funnel metric already exists for this flow, search first: fullstory:get_metric(regex="checkout funnel"). For funnels built with build_funnel, use fullstory:get_funnel(id) — it returns name, description, rendered definition, and correct num_steps (needed for the get_funnel_sessions workflow).
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 · 117 lines · 48 tokens per session scan A 53f6ec4fbcbf
funnel-doctor is a skill published in the GitHub repository reatlat/fullstory-claude-plugin (62 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 1,326 once invoked, about $0.0002 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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