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 thuong-nc/perlytics-skill --skill funnel-analysisgit clone --depth 1 https://github.com/thuong-nc/perlytics-skillWrote 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/thuong-nc/perlytics-skill/funnel-analysis)<a href="https://agentmods.dev/skills/thuong-nc/perlytics-skill/funnel-analysis"><img src="https://agentmods.dev/badge/skills/thuong-nc/perlytics-skill/funnel-analysis.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.00484 |
| Opus 5 | $0.00015 | $0.00242 |
| Sonnet 5 | $0.00006 | $0.00097 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
funnel-analysis 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 7d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Funnel Analysis
Purpose
Analyze stage-by-stage progression through a sequential flow without losing denominator discipline.
When to use
Use this skill when:
- users move through defined steps
- conversion can fail at multiple points
- the team needs to know where and for whom the drop occurs
When not to use
Do not use this skill when:
- the journey is not sequential
- the question is about long-term retention rather than step conversion
Required thinking discipline
- Define every stage clearly.
- Keep entity and denominator explicit.
- Distinguish stage conversion from cumulative conversion.
- Separate volume issues from conversion-rate issues.
- Evidence constraint: Every conclusion must cite specific data — a number, a rate, a segment, or a timeframe. Do not speculate without evidential basis. If data is insufficient, state what is missing rather than asserting an unsupported inference.
Workflow
- Define the funnel entity and steps.
- Confirm what counts as step completion.
- Calculate stage volume, stage conversion, and cumulative conversion.
- Compare with baseline or prior period.
- Break the funnel by important segments.
- Highlight the first meaningful break and any downstream effects.
Output format
- Funnel definition
- Stage table
- Largest breakpoints
- Segment differences
- Likely explanations
- Recommended next checks
Good example
Signup-to-paid funnel, user-level entity, weekly grain. The biggest break is trial start to first session for mobile-acquired users, where stage conversion fell from 62% to 49%.
Bad example
The funnel is weak in the middle.
Why this is bad:
- stage names are vague
- denominator is missing
- no segment or baseline context
Practical notes
- Include absolute counts and rates together.
- Watch for a top-of-funnel mix shift that changes downstream rates.
- If steps changed definition, call that out before interpretation.
Optional variants
- Ecommerce: focus on product view, add to cart, checkout, payment success.
- SaaS: focus on signup, activation event, return usage, paid conversion.
What ships with it
2 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.
- 7d ago First seen · 79 lines · 31 tokens per session scan A e47da5dfe37f
funnel-analysis is a skill published in the GitHub repository thuong-nc/perlytics-skill (5 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 484 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 2026-08-31.
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