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 agentmods add skills/henryalouf/ruflow/analytics-productnpx skills add henryalouf/ruflow --skill analytics-productgit clone --depth 1 https://github.com/henryalouf/ruflowWrote 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/henryalouf/ruflow/analytics-product)<a href="https://agentmods.dev/skills/henryalouf/ruflow/analytics-product"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/analytics-product.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 | $0.00035 | $0.02277 |
| Opus 5 | $0.00017 | $0.01138 |
| Sonnet 5 | $0.00007 | $0.00455 |
| Haiku 4.5 | $0.00003 | $0.00228 |
Grade A, and why
analytics-product 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 2d 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.
This is a copy
89% identical to analytics-product — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ANALYTICS-PRODUCT — Decida com Dados
Overview
Analytics de produto — PostHog, Mixpanel, eventos, funnels, cohorts, retencao, north star metric, OKRs e dashboards de produto. Ativar para: configurar tracking de eventos, criar funil de conversao, analise de cohort, retencao, DAU/MAU, feature flags, A/B testing, north star metric, OKRs, dashboard de produto.
When to Use This Skill
- When you need specialized assistance with this domain
Do Not Use This Skill When
- The task is unrelated to analytics product
- A simpler, more specific tool can handle the request
- The user needs general-purpose assistance without domain expertise
How It Works
[objeto]_[verbo_passado]
Correto: user_signed_up, conversation_started, upgrade_completed
Errado: signup, click, conversion
Analytics-Product — Decida Com Dados
"In God we trust. All others must bring data." — W. Edwards Deming
Eventos Essenciais Da Auri
AURI_EVENTS = {
# Aquisicao
"user_signed_up": {"props": ["source", "medium", "campaign"]},
"onboarding_started": {"props": ["step_count"]},
"onboarding_completed": {"props": ["time_to_complete", "steps_skipped"]},
# Ativacao
"first_conversation": {"props": ["intent", "response_time"]},
"aha_moment_reached": {"props": ["trigger", "session_number"]},
"feature_discovered": {"props": ["feature_name", "discovery_method"]},
# Retencao
"conversation_started": {"props": ["intent", "user_tier", "device"]},
"conversation_completed":{"props": ["messages_count", "duration", "rating"]},
"session_started": {"props": ["days_since_last", "platform"]},
# Receita
"upgrade_viewed": {"props": ["trigger", "current_tier"]},
"upgrade_started": {"props": ["target_tier", "trigger"]},
"upgrade_completed": {"props": ["tier", "plan", "revenue"]},
"subscription_canceled": {"props": ["reason", "tier", "tenure_days"]},
"payment_failed": {"props": ["attempt_count", "error_code"]},
}
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.
- 2d ago First seen · 302 lines · 35 tokens per session scan A 10aef54ba5a7
analytics-product is a skill published in the GitHub repository henryalouf/ruflow (122 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 2,277 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to analytics-product, differing in 7 lines, and is treated as a copy.
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