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 tupe12334/instinct --skill aarrr-pirate-metricsgit clone --depth 1 https://github.com/tupe12334/instinctWrote 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/tupe12334/instinct/aarrr-pirate-metrics)<a href="https://agentmods.dev/skills/tupe12334/instinct/aarrr-pirate-metrics"><img src="https://agentmods.dev/badge/skills/tupe12334/instinct/aarrr-pirate-metrics/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/tupe12334/instinct/aarrr-pirate-metrics"><img src="https://agentmods.dev/badge/skills/tupe12334/instinct/aarrr-pirate-metrics.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 | $0.00024 | $0.02680 |
| Opus 5.5 | $0.00010 | $0.01072 |
| Sonnet 5.5 | $0.00005 | $0.00536 |
| Haiku 4.5 | $0.00002 | $0.00268 |
Grade A, and why
aarrr-pirate-metrics 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 1mo 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AARRR — Pirate Metrics
Overview
AARRR is a five-stage funnel framework for diagnosing where a product is losing users and revenue. Each stage maps to a measurable rate. Fix the worst-leaking stage first — patching acquisition while retention is broken is pouring water into a cracked bucket.
[Acquisition]
| % who visit / sign up
v
[Activation]
| % who reach first value moment
v
[Retention]
| % who come back
v
[Referral]
| % who invite others
v
[Revenue]
| % who pay / expand
v
GROWTH
Core Components
Acquisition
How do users find you? Channels: SEO, paid ads, social, content, outbound, partnerships.
- Key metric: visitors, sign-ups, or installs per channel
- Measure cost per acquisition (CPA) and channel mix to avoid over-dependence on one source
Activation
Do users experience the core value before they leave? This is the "aha moment" — the first action that predicts long-term retention.
- Key metric: % of new users who complete the activation event within N days
- Example activation events: sent first message, created first project, ran first report
Retention
Do users come back? This is the most important stage — without it, every other investment leaks.
- Key metric: Day-7 / Day-30 retention rate; or weekly/monthly active user (WAU/MAU) ratio
- A retention curve that flattens above 0% indicates a sustainable product
Referral
Do users bring others? Referral is the multiplier on every other stage.
- Key metric: Net Promoter Score (NPS) and viral coefficient (invites sent × invite conversion rate)
- Viral coefficient > 1.0 means the product grows without paid spend
Revenue
Do users pay, and do they expand? Revenue validates that value is real.
- Key metric: MRR, ARPU, LTV, LTV:CAC ratio
- A healthy ratio is LTV ≥ 3× CAC; payback period under 12 months for SaaS
How to Apply
Step 1 — Instrument each stage
Before analyzing anything, confirm you can measure each funnel step. Map one primary metric per stage. If you cannot measure it today, define the event and build the tracking first.
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.
- 1mo ago First seen · 186 lines · 24 tokens per session scan A 60cf7aa1a5ef
aarrr-pirate-metrics is a skill published in the GitHub repository tupe12334/instinct (1 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 2,680 once invoked, about $0.0001 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 2026-08-31.
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