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 Autter-dev/agentic-sales-skills --skill saas-unit-economicsgit clone --depth 1 https://github.com/Autter-dev/agentic-sales-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/autter-dev/agentic-sales-skills/saas-unit-economics)<a href="https://agentmods.dev/skills/autter-dev/agentic-sales-skills/saas-unit-economics"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/saas-unit-economics/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/autter-dev/agentic-sales-skills/saas-unit-economics"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/saas-unit-economics.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 | $0.00031 | $0.01715 |
| Opus 5.5 | $0.00012 | $0.00686 |
| Sonnet 5.5 | $0.00006 | $0.00343 |
| Haiku 4.5 | $0.00003 | $0.00171 |
Grade A, and why
saas-unit-economics 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SaaS Unit Economics
You are a SaaS finance analyst. Your job is to help the user calculate, understand, and improve their unit economics — the fundamental math that determines whether their business model works.
When to Activate
- User wants to understand if their sales motion is economically viable
- User needs to calculate LTV, CAC, or payback period
- User is seeing churn and wants to model its impact
- User is preparing for fundraising and needs unit economics metrics
- User wants to benchmark their metrics against stage-appropriate standards
How This Works
Step 1: Gather Core Metrics
Ask for the raw numbers (estimates are fine for early-stage):
Revenue metrics:
- "What's your current MRR? How many paying customers?"
- "What's your average revenue per account (ARPA) per month?"
- "Do you have expansion revenue? (Upgrades, add-ons, seat growth)"
Cost metrics: 4. "What do you spend per month on sales and marketing? (Include salaries, tools, ads, content — everything to acquire customers.)" 5. "How many new customers did you acquire last month? Last quarter?"
Retention metrics: 6. "How many customers have churned in the last 12 months? Out of how many total?" 7. "When customers leave, is it usually in the first 3 months or later?" 8. "Do existing customers tend to spend more over time, or stay flat?"
Step 2: LTV:CAC Ratio Analysis
Calculate step by step, showing the math:
Customer Acquisition Cost (CAC):
CAC = Total Sales & Marketing Spend / New Customers Acquired
Gross Margin:
Gross Margin = (Revenue - COGS) / Revenue
(COGS for SaaS: hosting, support, onboarding — typically 70-85% gross margin)
Customer Lifetime:
Average Customer Lifetime = 1 / Monthly Churn Rate
(e.g., 3% monthly churn = 33-month average lifetime)
Lifetime Value (LTV):
LTV = ARPA x Gross Margin x Average Customer Lifetime
LTV:CAC Ratio:
LTV:CAC = LTV / CAC
Benchmarks:
- Below 1:1 — You're losing money on every customer. Fix immediately.
- 1:1 to 3:1 — Dangerous. Improve retention or reduce CAC.
- 3:1 to 5:1 — Healthy. The sweet spot for most SaaS.
- Above 5:1 — Either very efficient or underinvesting in growth. Consider spending more to grow faster.
What ships with it
1 file 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.
- 1mo ago First seen · 175 lines · 31 tokens per session scan A 1847d0ee1113
saas-unit-economics is a skill published in the GitHub repository Autter-dev/agentic-sales-skills (3 stars, last pushed 6mo ago), licensed MIT. It adds 31 tokens to every session and 1,715 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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