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 first-party-data-collectiongit 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/first-party-data-collection)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/first-party-data-collection"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/first-party-data-collection/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/first-party-data-collection"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/first-party-data-collection.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 | $0.01957 |
| Opus 5 | $0.00014 | $0.00979 |
| Sonnet 5 | $0.00006 | $0.00391 |
| Haiku 4.5 | $0.00003 | $0.00196 |
Grade A, and why
first-party-data-collection 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.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
First-Party Data Collection
Overview
Third-party cookies are deprecated across all major browsers, and iOS tracking restrictions have cut paid signal quality by 30–60%. First-party data — information customers actively share with you — is now your most defensible marketing asset. This skill covers collecting preference data through quizzes, surveys, and preference centers, then using that data to personalize email, SMS, and product recommendations. Klaviyo and dedicated quiz apps make this achievable without custom development for most stores.
When to Use This Skill
- When ROAS on Meta and Google is declining due to signal loss from tracking restrictions
- When launching a preference center as part of an email list health initiative
- When wanting to reduce generic emails in favor of category-specific recommendations
- When launching a loyalty or VIP program that requires enriched customer profiles
- When preparing for GDPR/CCPA compliance with a structured consent management system
Core Instructions
Step 1: Choose the right tool for each data collection touchpoint
| Touchpoint | Shopify Tool | WooCommerce Tool | Purpose |
|---|---|---|---|
| Product quiz | Octane AI or Typeform | Typeform + WooCommerce or Quiz Maker plugin | Collect category preferences + recommend products |
| Preference center | Klaviyo Profile Management | Klaviyo + WooCommerce plugin | Let customers control email frequency and content |
| Post-purchase survey | Klaviyo post-purchase flow + Typeform | AutomateWoo + SurveyMonkey/Typeform | NPS, purchase motivation, product feedback |
| Progressive profiling | Klaviyo dynamic forms | Klaviyo + WooCommerce | Ask one question at a time across sessions |
| Birthday/size collection | Klaviyo signup forms | Any email form | Personalization and loyalty triggers |
Step 2: Set up a product quiz for zero-party data
A product quiz collects preferences while immediately rewarding the customer with relevant recommendations — the highest-converting data collection method.
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/consent-management-and-privacy-complianc/criteria.json 3.1 KB
- evals/consent-management-and-privacy-complianc/task.md 2.7 KB
- evals/customer-schema-and-progressive-profilin/criteria.json 2.9 KB
- evals/customer-schema-and-progressive-profilin/task.md 2.1 KB
- evals/zero-party-quiz-with-product-recommendat/criteria.json 2.7 KB
- evals/zero-party-quiz-with-product-recommendat/task.md 2.1 KB
- tile.json 316 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.
- 9d ago First seen · 164 lines · 28 tokens per session scan A 93855f2d9709
first-party-data-collection 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 1,957 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 2026-09-03.
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