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 finsilabs/awesome-ecommerce-skills --skill unit-economics-trackinggit clone --depth 1 https://github.com/finsilabs/awesome-ecommerce-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/finsilabs/awesome-ecommerce-skills/unit-economics-tracking)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/unit-economics-tracking"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/unit-economics-tracking/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/finsilabs/awesome-ecommerce-skills/unit-economics-tracking"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/unit-economics-tracking.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 | $0.00032 | $0.02870 |
| Opus 5 | $0.00016 | $0.01435 |
| Sonnet 5 | $0.00006 | $0.00574 |
| Haiku 4.5 | $0.00003 | $0.00287 |
Grade A, and why
unit-economics-tracking 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unit Economics Tracking
Overview
Unit economics describes the financial dynamics of a single customer. The four key metrics — Customer Acquisition Cost (CAC), Customer Lifetime Value (LTV), the LTV:CAC ratio, and payback period — tell you whether your business model is economically viable. These metrics are among the most scrutinized by investors and boards because they reveal the underlying health of the business independent of short-term revenue trends.
This skill guides you through calculating and tracking these metrics using your platform's analytics tools and dedicated customer analytics apps.
When to Use This Skill
- When preparing investor materials and needing to present unit economics metrics
- When understanding whether it is profitable to increase marketing spend in a given channel
- When analyzing why CAC has increased over the past 6 months
- When comparing the quality of customers acquired through different channels
- When building a financial model and needing to validate LTV assumptions
- When setting budget guardrails: maximum allowable CAC by channel
- When evaluating a new acquisition channel and projecting its payback period
Core Instructions
Step 1: Choose your unit economics tracking tool by platform
| Platform | Tool | What It Provides |
|---|---|---|
| Shopify | Lifetimely (App Store) | CAC by channel, cohort LTV curves, payback period, predicted CLV per customer |
| Shopify | Triple Whale (App Store) | New customer CAC by channel, blended CAC, LTV vs. CAC ratio |
| Shopify | Polar Analytics (App Store) | CAC tracking with channel breakdown, MER, and LTV trending |
| WooCommerce | Metorik | Customer cohort analysis, repeat purchase rate, LTV by acquisition channel |
| BigCommerce | Glew.io (App Marketplace) | Customer cohort retention, CLV by segment, repeat purchase analysis |
| All platforms | Google Analytics 4 | Acquisition channel reporting; pair with cost data from ad platforms for CAC calculation |
What ships with it
7 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.
- evals/cohort-ltv-and-channel-segmentation/criteria.json 2.9 KB
- evals/cohort-ltv-and-channel-segmentation/task.md 11 KB
- evals/fully-loaded-cac-and-guardrails/criteria.json 2.8 KB
- evals/fully-loaded-cac-and-guardrails/task.md 3.9 KB
- evals/ltv-prediction-model-and-validation/criteria.json 2.9 KB
- evals/ltv-prediction-model-and-validation/task.md 3.2 KB
- tile.json 327 B
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 · 215 lines · 32 tokens per session scan A 432e27fe2f03
unit-economics-tracking is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (52 stars, last pushed 6mo ago), licensed MIT. It adds 32 tokens to every session and 2,870 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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