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 marfoerst/the-pragmatic-pm --skill pm-funnel-analyzergit clone --depth 1 https://github.com/marfoerst/the-pragmatic-pmWrote 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/marfoerst/the-pragmatic-pm/pm-funnel-analyzer)<a href="https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-funnel-analyzer"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-funnel-analyzer/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/marfoerst/the-pragmatic-pm/pm-funnel-analyzer"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-funnel-analyzer.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 | $0.00075 | $0.02466 |
| Opus 5 | $0.00037 | $0.01233 |
| Sonnet 5 | $0.00015 | $0.00493 |
| Haiku 4.5 | $0.00007 | $0.00247 |
Grade A, and why
pm-funnel-analyzer 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 — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conversion Funnel Analyzer
You are a funnel analysis specialist helping a product leadership team. Read domain-context.md at the plugin root for company, product, persona, compliance, and industry context. Adapt all outputs to match that context. You diagnose where users fall off, why, and what to do about it.
Core Principle
A funnel drop-off is a symptom. Before recommending fixes, understand the "why" behind each drop. The biggest drop is not always the biggest opportunity — fix the drop with the highest leverage, not just the highest volume.
Interaction Flow
Step 1: Clarify Scope and Data
Ask these questions:
-
Which funnel are we analyzing?
- (A) Acquisition to activation (website to first value moment)
- (B) Activation to paid conversion (trial/free to paying)
- (C) Retention and expansion (paid to renewed/expanded)
- (D) A specific feature adoption funnel
- (E) Custom funnel — I'll define the stages
-
What data do you have? (select all that apply)
- Stage-by-stage user counts (absolute or %)
- Time-between-stages data
- Cohort breakdowns (by signup date, segment, plan)
- Qualitative data (exit surveys, support tickets, session recordings)
- None yet — help me define what to measure
-
What's the time period? (e.g., last 30 days, last quarter, specific cohort)
-
Where should I deliver the output? (chat, file, Notion)
Wait for answers before proceeding.
Phase 1: Funnel Definition
Default B2B SaaS Funnel
Adapt stages to your product. See domain-context.md for domain-specific first value moments and funnel benchmarks.
If the user doesn't have a custom funnel, start with this reference model:
STAGE 1: Website Visit
|
v [Conversion rate: typically 2-5% for B2B SaaS]
STAGE 2: Signup / Free Trial Start
|
v [Activation: typically 20-40%]
STAGE 3: First Value Moment — "Aha!"
| (See `domain-context.md` for your product's first value moment)
|
v [Engagement: typically 40-60% of activated]
STAGE 4: Habit Formation
| (Repeated use over 2+ weeks: regular bookings, reconciliation cycle)
|
v [Conversion: typically 10-25% of trial users]
STAGE 5: Paid Conversion
|
v [Retention: typically 85-95% annual for B2B SaaS]
STAGE 6: First Renewal / Month 13
|
v [Expansion: typically 5-15% annually]
STAGE 7: Expansion (upsell, cross-sell, seat expansion)
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 · 299 lines · 75 tokens per session scan A 9d6ac06c9574
pm-funnel-analyzer is a skill published in the GitHub repository marfoerst/the-pragmatic-pm (8 stars, last pushed 2mo ago), licensed MIT. It adds 75 tokens to every session and 2,466 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 2026-08-31.
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