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 charlieviettq/awesome-agent-skill --skill ecom-analyticsgit clone --depth 1 https://github.com/charlieviettq/awesome-agent-skillWrote 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/charlieviettq/awesome-agent-skill/ecom-analytics)<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/ecom-analytics"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/ecom-analytics/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/charlieviettq/awesome-agent-skill/ecom-analytics"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/ecom-analytics.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 | $0.00091 | $0.01246 |
| Opus 5 | $0.00046 | $0.00623 |
| Sonnet 5 | $0.00018 | $0.00249 |
| Haiku 4.5 | $0.00009 | $0.00125 |
Grade A, and why
"ecom-analytics" 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.
This is a copy
98% identical to ecom-analytics — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E-Commerce Analytics
Overview
E-commerce analytics measures online store performance across traffic, conversion, and revenue dimensions. This skill covers GA4 e-commerce tracking setup, funnel analysis, and key metric interpretation to diagnose why a store is or isn't performing.
Framework
IRON LAW: Diagnose by Funnel Stage, Not by Symptom
"Sales are down" is a symptom, not a diagnosis. Decompose into funnel stages:
Traffic × Conversion Rate × AOV = Revenue
If revenue drops 20%, is it because traffic dropped (acquisition problem),
conversion dropped (UX/pricing problem), or AOV dropped (product mix problem)?
Each requires a completely different fix.
E-Commerce Funnel & Key Metrics
| Stage | Metrics | What It Tells You |
|---|---|---|
| Acquisition | Sessions, Users, Traffic sources, CPC, CAC | Are you attracting enough visitors? From where? At what cost? |
| Engagement | Pages/session, Time on site, Bounce rate, Product views | Are visitors interested? Are they browsing? |
| Conversion | Add-to-cart rate, Checkout initiation rate, Purchase conversion rate | Where in the funnel are they dropping off? |
| Revenue | Revenue, AOV, Items per order, Revenue per session | How much are they spending? Is the mix healthy? |
| Retention | Repeat purchase rate, Purchase frequency, Customer lifetime value | Are they coming back? |
GA4 E-Commerce Events
| Event | Trigger | Key Parameters |
|---|---|---|
view_item |
Product page view | item_id, item_name, price, category |
add_to_cart |
Add to cart click | items array, value, currency |
begin_checkout |
Checkout started | items, value, coupon |
add_payment_info |
Payment entered | payment_type |
purchase |
Order completed | transaction_id, value, tax, shipping, items |
Diagnosis Framework
Phase 1: Traffic Check
- Is total traffic up/down/flat vs prior period?
- Which channels changed? (organic, paid, social, direct, referral)
- Is traffic quality declining? (bounce rate, pages/session by source)
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.
- 9d ago First seen · 110 lines · 91 tokens per session scan A 4962895849eb
"ecom-analytics" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (26 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 1,246 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to ecom-analytics, differing in 8 lines, and is treated as a copy.
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