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 getcrew44/crew44 --skill saas-revenue-growth-metricsgit clone --depth 1 https://github.com/getcrew44/crew44Wrote 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/getcrew44/crew44/saas-revenue-growth-metrics)<a href="https://agentmods.dev/skills/getcrew44/crew44/saas-revenue-growth-metrics"><img src="https://agentmods.dev/badge/skills/getcrew44/crew44/saas-revenue-growth-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/getcrew44/crew44/saas-revenue-growth-metrics"><img src="https://agentmods.dev/badge/skills/getcrew44/crew44/saas-revenue-growth-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 | $0.00034 | $0.05817 |
| Opus 5 | $0.00017 | $0.02908 |
| Sonnet 5 | $0.00007 | $0.01163 |
| Haiku 4.5 | $0.00003 | $0.00582 |
Grade A, and why
saas-revenue-growth-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 13d 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 — 631 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Master revenue and retention metrics to understand SaaS business momentum, evaluate product-market fit, and make data-driven decisions about growth investments. Use this to calculate key metrics, interpret trends, identify problems early, and communicate business health to stakeholders.
This is not a business intelligence tool—it's a framework for PMs to understand which metrics matter, how to calculate them correctly, and what actions to take based on the numbers.
Key Concepts
Revenue Metrics Family
The "top-line" metrics that measure how much money the business generates.
Revenue — Total money earned from selling products/services before expenses. The "top line" of the income statement.
- Why PMs care: Every feature should connect to revenue (direct or indirect). If you can't articulate revenue impact, prioritization becomes impossible.
- Formula: Sum of all customer payments in a period
- Benchmark: Growth rate matters more than absolute number (context-dependent by stage)
ARPU (Average Revenue Per User) — Average revenue generated per individual user.
- Why PMs care: Measures per-seat monetization effectiveness. Critical for seat-based pricing models.
- Formula:
Total Revenue / Total Users - Benchmark: Varies by model; track trend more than absolute value
- B2C SaaS: $5-50/month typical; B2B: $50-500+/month
ARPA (Average Revenue Per Account) — Average revenue generated per customer account.
- Why PMs care: Measures account-level deal size. Critical for account-based pricing models.
- Formula:
MRR / Active Accounts - Benchmark: SMB SaaS: $100-$1K/month; Mid-market: $1K-$10K; Enterprise: $10K+
ARPA/ARPU Analysis — Using both metrics together to understand monetization.
- Why PMs care: Prevents packaging mistakes. High ARPA + low ARPU = undermonetized per seat. Low ARPA + high ARPU = small deal sizes.
- Example: $10K ARPA with 100 seats = $100 ARPU (reasonable). $10K ARPA with 1,000 seats = $10 ARPU (leaving money on table).
What ships with it
3 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.
- 13d ago First seen · 631 lines · 34 tokens per session scan A d5e21c905d83
saas-revenue-growth-metrics is a skill published in the GitHub repository getcrew44/crew44 (359 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 5,817 once invoked, about $0.0002 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 2026-08-30.
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