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 guia-matthieu/clawfu-skills --skill aarrr-metricsgit clone --depth 1 https://github.com/guia-matthieu/clawfu-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/guia-matthieu/clawfu-skills/aarrr-metrics)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/aarrr-metrics"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/aarrr-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/guia-matthieu/clawfu-skills/aarrr-metrics"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/aarrr-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 | $0.00028 | $0.03250 |
| Opus 5 | $0.00014 | $0.01625 |
| Sonnet 5 | $0.00006 | $0.00650 |
| Haiku 4.5 | $0.00003 | $0.00325 |
Grade A, and why
aarrr-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 9d 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 — 398 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AARRR Pirate Metrics
Apply Dave McClure's AARRR framework to measure and optimize growth through the five stages: Acquisition, Activation, Retention, Revenue, and Referral.
When to Use This Skill
- Building growth dashboards
- Identifying funnel bottlenecks
- Prioritizing growth experiments
- Reporting to investors
- Diagnosing growth problems
Methodology Foundation
Based on Dave McClure's AARRR framework (500 Startups), providing:
- Stage-specific metrics definition
- Funnel conversion analysis
- Prioritization framework
- Experiment design guidance
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Defines metrics per stage | Specific definitions for your product |
| Identifies bottlenecks | Experiment priorities |
| Suggests experiments | Resource allocation |
| Creates dashboards | Tool selection |
| Benchmarks performance | Acceptable thresholds |
Instructions
Step 1: Define Each Stage
AARRR Stages:
| Stage | Question | Focus |
|---|---|---|
| Acquisition | How do users find you? | Traffic, channels |
| Activation | Do they have a great first experience? | Onboarding, aha moment |
| Retention | Do they come back? | Engagement, habit |
| Revenue | Do they pay? | Conversion, monetization |
| Referral | Do they tell others? | Virality, NPS |
Step 2: Set Stage-Specific Metrics
Metrics Framework:
| Stage | Primary Metric | Supporting Metrics |
|---|---|---|
| Acquisition | CAC, Unique visitors | Channel mix, CTR, CPM |
| Activation | Activation rate | Time to activate, drop-off points |
| Retention | D7/D30 retention | DAU/MAU, churn rate |
| Revenue | LTV, ARPU | Conversion rate, ACV |
| Referral | Viral coefficient | NPS, referral rate |
Step 3: Map Your Funnel
Funnel Template:
Acquisition → Activation → Retention → Revenue → Referral
100% → 30% → 15% → 5% → 1%
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.
- 9d ago First seen · 398 lines · 28 tokens per session scan A ac3f7e7df86d
aarrr-metrics is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 3,250 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
ads-creative-development
How to produce ad creative that converts at performance scale. Hook patterns, format selection, video pacing, variation systems, sequential testing methodology, fatigue detection, brand-voice alignment without conversion dilution, and platform-specific creative norms. Triggers on ad creative, ad design, hook patterns…
ads-performance-analytics
How to read paid media dashboards without fooling yourself. Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes that produce expensive lessons. Triggers on read paid media…
paid-media-strategy
A discipline for running paid media that does not light money on fire. Hypothesis writing for paid spend, channel selection, budget allocation, audience targeting, bid strategy, campaign types, what NOT to spend on, attribution reality, and the failure modes that produce expensive lessons. Triggers on paid media…
community-outreach
Systemneutrale Automatisierung für lösungsorientierten Community Outreach und Repo-Recommender in Foren, Reddit und Plattformen nach dem Human-in-the-Loop-Prinzip (EU AI Act konform).
error-log
Apply when learning from a mistake. Central memory of past errors and derived rules; consult before logging a new error to avoid duplicates.
python
Apply when writing Python code. Type hints, error handling, mutable defaults, async patterns, and packaging conventions.