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 sales-reporting-dashboardgit 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/sales-reporting-dashboard)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/sales-reporting-dashboard"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/sales-reporting-dashboard/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/sales-reporting-dashboard"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/sales-reporting-dashboard.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 | $0.02512 |
| Opus 5 | $0.00014 | $0.01256 |
| Sonnet 5 | $0.00006 | $0.00502 |
| Haiku 4.5 | $0.00003 | $0.00251 |
Grade A, and why
sales-reporting-dashboard 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sales Reporting Dashboard
Overview
A sales reporting dashboard surfaces the metrics that matter most to an ecommerce operation: revenue, orders, average order value (AOV), conversion rate, and trend comparisons. Having a single source of truth for these metrics — accessible to the whole team and automatically up to date — replaces manual spreadsheet reports and gives operators the data they need for daily decisions.
This skill guides you through building a sales reporting dashboard using your platform's built-in tools, BI apps, and data connections.
When to Use This Skill
- When the business needs a single source of truth for daily/weekly revenue reporting
- When building an internal analytics dashboard to replace manual spreadsheet reports
- When implementing time-comparison metrics (week-over-week, month-over-month, year-over-year)
- When product managers need category and channel drill-down beyond top-level revenue
- When building an executive dashboard that surfaces GMV, conversion rate, and AOV trends
- When integrating with a BI tool (Metabase, Looker Studio) via an API or direct database views
Core Instructions
Step 1: Choose your reporting tool by platform
| Platform | Tool | Best For |
|---|---|---|
| Shopify | Shopify Analytics (built-in) | Revenue, orders, AOV, conversion rate; free; real-time; sufficient for most merchants |
| Shopify | Shopify + Google Looker Studio (free) | Custom visual dashboards; combine Shopify data with GA4 and ad platform data |
| Shopify | Polar Analytics or Triple Whale | Multi-channel dashboards; profit metrics; automated daily digest emails |
| WooCommerce | WooCommerce Analytics (built-in) | Revenue, orders, products, customers; free; available in WooCommerce 3.5+ |
| WooCommerce | Metorik | Advanced filtering, cohort analysis, customer segments; best WooCommerce analytics tool |
| BigCommerce | BigCommerce Analytics (built-in) | Sales overview, product performance, customer metrics |
| BigCommerce | Glew.io | Advanced cohort retention, channel drill-down, and executive dashboards |
| All platforms | Google Analytics 4 | Conversion funnel, traffic sources, session-based metrics; free; pairs with any platform |
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/channel-drill-down-and-category-revenue-/criteria.json 3.0 KB
- evals/channel-drill-down-and-category-revenue-/task.md 2.1 KB
- evals/conversion-rate-and-period-over-period-c/criteria.json 2.7 KB
- evals/conversion-rate-and-period-over-period-c/task.md 1.9 KB
- evals/revenue-api-with-caching-and-granularity/criteria.json 2.7 KB
- evals/revenue-api-with-caching-and-granularity/task.md 1.8 KB
- tile.json 243 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 · 184 lines · 28 tokens per session scan A a8e1c450d77d
sales-reporting-dashboard is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (52 stars, last pushed 6mo ago), licensed MIT. It adds 28 tokens to every session and 2,512 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 2026-08-30.
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