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 marketing-attribution-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/marketing-attribution-dashboard)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/marketing-attribution-dashboard"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/marketing-attribution-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/marketing-attribution-dashboard"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/marketing-attribution-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 | $0.02615 |
| Opus 5.5 | $0.00011 | $0.01046 |
| Sonnet 5.5 | $0.00006 | $0.00523 |
| Haiku 4.5 | $0.00003 | $0.00262 |
Grade A, and why
marketing-attribution-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 2mo 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Attribution Dashboard
Overview
Every ecommerce business faces attribution chaos: Meta says it drove 300 purchases, Google says 280, and your order management system shows 400 total. The overlap is real, the methodologies differ, and single-touch last-click models misrepresent the true value of upper-funnel channels. A proper attribution dashboard aggregates all marketing data in one place and applies a consistent model so you can make defensible budget decisions. For most merchants, a third-party attribution tool — not custom code — is the fastest path to accurate channel ROI.
When to Use This Skill
- When ad spend decisions rely on platform-reported ROAS rather than actual order data
- When you suspect paid social is stealing attribution from organic search or email
- When preparing a quarterly marketing budget review and need a defensible data source
- When launching a new channel and need to measure its true incremental contribution
- When reporting marketing performance to investors or a board
Core Instructions
Step 1: Choose the right attribution tool
| Platform | Best For | Shopify | WooCommerce | BigCommerce | Price |
|---|---|---|---|---|---|
| Triple Whale | Shopify-native, real-time pixel + CAPI | App Store | Limited | Limited | $129+/mo |
| Northbeam | Advanced multi-touch, TV/podcast spend | App Store | Via pixel | Via pixel | $500+/mo |
| Rockerbox | Mid-market, all channels including offline | App Store | Via pixel | Via pixel | $500+/mo |
| GA4 (free) | All platforms, good enough for most | Via tag | Via tag | Via tag | Free |
| Wicked Reports | WooCommerce-native, integrates with Klaviyo | Limited | Plugin | Limited | $299+/mo |
Start with GA4 for most stores — it is free, handles multi-channel attribution with configurable models, and integrates natively with Google Ads. Upgrade to Triple Whale or Northbeam when you need real-time pixel data that survives iOS 14 restrictions.
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/attribution-model-weight-computation/criteria.json 3.0 KB
- evals/attribution-model-weight-computation/task.md 2.0 KB
- evals/react-dashboard-architecture-and-kpi-rep/criteria.json 3.1 KB
- evals/react-dashboard-architecture-and-kpi-rep/task.md 2.3 KB
- evals/touchpoint-collection-and-channel-classi/criteria.json 3.0 KB
- evals/touchpoint-collection-and-channel-classi/task.md 2.2 KB
- tile.json 341 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.
- 2mo ago First seen · 203 lines · 28 tokens per session scan A d99b155db302
marketing-attribution-dashboard is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (63 stars, last pushed 15d ago), licensed MIT. It adds 28 tokens to every session and 2,615 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 2026-09-03.
marketing-attribution-dashboard compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| marketing-attribution-dashboardfinsilabs/awesome-ecommerce-skills | Skill | 63 | 15d ago | MIT | A | 28 | Claude Code, Codex |
| analyzing-campaign-attribution-evidencemukul975/Anthropic-Cybersecurity-Skills | Skill | 36k | 2mo ago | Apache-2.0 | A | 79 | Claude Code |
| building-threat-actor-profile-from-osint26zl/cybersec-toolkit | Skill | 89 | 4d ago | MIT | A | 41 | Claude Code |
| yandex-metricaVKirill/claude-lane-stack | Skill | 124 | 8d ago | MIT | A | 240 | Claude Code |
| ab-test-generatorHumblytics/humblytics-marketing-skills | Skill | 85 | 1mo ago | MIT | A | 87 | Claude Code, Codex |
| ad-expertHumblytics/humblytics-marketing-skills | Skill | 85 | 1mo ago | MIT | A | 112 | Claude Code, Codex |
| copywritingHumblytics/humblytics-marketing-skills | Skill | 85 | 1mo ago | MIT | A | 89 | Claude Code, Codex |