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 krillinai/growth-skills --skill funnel-analysisgit clone --depth 1 https://github.com/krillinai/growth-skillsWrote 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/krillinai/growth-skills/funnel-analysis)<a href="https://agentmods.dev/skills/krillinai/growth-skills/funnel-analysis"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/funnel-analysis/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/krillinai/growth-skills/funnel-analysis"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/funnel-analysis.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 | $0.00055 | $0.01647 |
| Opus 5.5 | $0.00022 | $0.00659 |
| Sonnet 5.5 | $0.00011 | $0.00329 |
| Haiku 4.5 | $0.00006 | $0.00165 |
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 2mo 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Funnel Analysis
Define how eligible customers move through observable value states, calculate loss without changing denominators, identify the most decision-relevant constraint, and design the next evidence or intervention. Work from supplied data or attributable public context. Private analytics, warehouse, CRM, product, billing, support, or research data is optional; mark missing or declined inputs unavailable, never fabricate funnel counts, rates, causes, or results.
Read funnel-contract.md for state definitions, evidence rules, metric contracts, identity, privacy, and reconciliation requirements. Read analysis-methods.md before calculating conversion, loss, time, cohort maturity, segment effects, or uncertainty. Read diagnosis-and-design.md before naming a constraint or proposing changes. Use playbook-sources.md to cite the pinned Growth Playbook basis.
Select One Mode
| Mode | Use |
|---|---|
analysis |
Define or calculate a funnel or state model, reconcile counts, and compare mature cohorts or decision-relevant segments |
diagnosis |
Separate an observed drop-off from candidate demand, qualification, value, friction, capacity, trust, retention, economics, or measurement mechanisms |
design |
Design a funnel or state model, instrumentation contract, intervention portfolio, or validation plan for a supported constraint |
Name one primary mode. A request may include secondary work, but keep observed calculations, causal hypotheses, and proposed interventions visibly separate.
Freeze The Funnel Contract
Record the decision and owner; final customer and business outcome; entity and level; canonical eligible starting population; ordered states or permitted state transitions; entry and success events for every state; numerator and denominator; observation and maturation windows; identity and deduplication; re-entry, skipping, reversal, and repeat rules; exclusions; timezone; market, language, locale, product surface, source, and segment boundaries; data version and capture date; guardrails; and known limitations.
What ships with it
4 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.
- 2mo ago First seen · 83 lines · 55 tokens per session scan A b64d8472a16d
funnel-analysis is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 55 tokens to every session and 1,647 once invoked, about $0.0002 per session on Opus 5.5. 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.
funnel-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| funnel-analysiskrillinai/growth-skills | Skill | 43 | 2mo ago | MIT | A | 55 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |