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 data-retention-policiesgit 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/data-retention-policies)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/data-retention-policies"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/data-retention-policies/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/data-retention-policies"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/data-retention-policies.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 | $0.00033 | $0.02621 |
| Opus 5 | $0.00016 | $0.01311 |
| Sonnet 5 | $0.00007 | $0.00524 |
| Haiku 4.5 | $0.00003 | $0.00262 |
Grade A, and why
data-retention-policies 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Retention Policies
Overview
Data retention policies define how long each category of data is kept, when it is archived, and when it is purged. E-commerce stores must balance legal obligations (tax records must typically be kept 5–7 years) against privacy regulations (GDPR's data minimization principle requires deleting data that is no longer needed). The right approach depends on your platform — Shopify handles some retention automatically, while WooCommerce/custom stores require explicit implementation.
When to Use This Skill
- When implementing GDPR data minimization requirements for a new or existing e-commerce platform
- When legal or compliance teams request a documented data retention policy
- When preparing for a data protection audit or SOC 2 Type II assessment
- When storage costs are growing due to uncontrolled data accumulation
- When a customer submits a Subject Access Request and you need to know exactly where their data lives
Core Instructions
Step 1: Document your retention schedule first
Before configuring any tool, document a retention schedule. Legal, compliance, and engineering must agree before implementation. This Register of Processing Activities (RoPA) is required under GDPR Article 30 for large processors and recommended for all:
| Data Category | Retention Period | Action After Period | Legal Basis |
|---|---|---|---|
| Orders (financial records) | 7 years | Anonymize PII; keep financial data | Tax law (US IRS, EU VAT) |
| Invoices | 7 years | Archive to cold storage | Tax compliance |
| Customer accounts | 3 years after last activity | Delete | Legitimate interest |
| Sessions / login logs | 90 days | Delete | Legitimate interest |
| Marketing email consent | Until unsubscribe | Delete on unsubscribe | GDPR consent |
| Abandoned cart data | 30 days | Delete | Legitimate interest |
| Fraud/security logs | 90 days | Anonymize | Legitimate interest |
| Analytics events | 13 months | Aggregate then delete | Legitimate interest |
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/gdpr-customer-purge-with-legal-hold-and-/criteria.json 3.0 KB
- evals/gdpr-customer-purge-with-legal-hold-and-/task.md 1.7 KB
- evals/order-pii-anonymization-preserving-finan/criteria.json 2.3 KB
- evals/order-pii-anonymization-preserving-finan/task.md 1.5 KB
- evals/retention-schedule-and-automated-purge-j/criteria.json 2.9 KB
- evals/retention-schedule-and-automated-purge-j/task.md 1.7 KB
- tile.json 230 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 · 254 lines · 33 tokens per session scan A ff97294c0b06
data-retention-policies is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (52 stars, last pushed 6mo ago), licensed MIT. It adds 33 tokens to every session and 2,621 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 2026-09-03.
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