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 deciqAI/knowledge-skills --skill aarrr-pirate-metricsgit clone --depth 1 https://github.com/deciqAI/knowledge-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/deciqai/knowledge-skills/aarrr-pirate-metrics)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/aarrr-pirate-metrics"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/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/deciqai/knowledge-skills/aarrr-pirate-metrics"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/aarrr-pirate-metrics.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 | $0.00125 | $0.02193 |
| Opus 5 | $0.00063 | $0.01097 |
| Sonnet 5 | $0.00025 | $0.00439 |
| Haiku 4.5 | $0.00013 | $0.00219 |
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 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AARRR (Pirate Metrics)
Overview
A startup's growth is a sequential funnel — each stage gates the next. Great Acquisition is worthless if Activation is broken; great Activation is worthless if Retention is zero. Optimizing the wrong stage produces work that looks like progress while the bottleneck stays.
The AARRR framework (Dave McClure, Startup Metrics for Pirates, 2007) names five stages: Acquisition (do they show up?), Activation (good first experience?), Retention (do they come back?), Referral (do they tell others?), Revenue (do they pay?). The bottleneck stage governs total growth — improving any other stage produces no system-level gain (Goldratt, The Goal, 1984).
Compose with: first-principles to identify your specific Activation event; pmf-crossing-the-chasm to recognize when Retention will always be the bottleneck pre-PMF; probabilistic-thinking to set base rates per stage.
When to Use
- Growth is stalling and the cause is not obvious — multiple teams have plausible explanations
- Product, marketing, and sales are arguing about whose problem it is
- You need a shared instrumentation framework across teams
- Designing end-to-end metrics for a new product
- Someone says: "AARRR," "pirate metrics," "growth funnel," "where is our funnel breaking?"
- An AI-native product has strong signups but weak activation/retention — cheap AI-hype acquisition masks empty-state and post-novelty leaks; or you're facing AI-native competition on a commoditized model and need to find where your funnel actually loses users
When NOT to use: No users yet → use lean-startup. Signups still in the tens — AARRR rates need volume. Bottleneck already obvious → fix that first, then return.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has funnel data and wants the bottleneck named → run The Process directly.
- Coach mode: vague situation or unfamiliarity → guide step by step.
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.
- 12d ago First seen · 120 lines · 125 tokens per session scan A 7548281e0902
aarrr-pirate-metrics is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 125 tokens to every session and 2,193 once invoked, about $0.0006 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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