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 product-content-enrichmentgit 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/product-content-enrichment)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/product-content-enrichment"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/product-content-enrichment/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/product-content-enrichment"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/product-content-enrichment.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 | $0.02641 |
| Opus 5 | $0.00016 | $0.01321 |
| Sonnet 5 | $0.00007 | $0.00528 |
| Haiku 4.5 | $0.00003 | $0.00264 |
Grade A, and why
product-content-enrichment 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 — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Content Enrichment
Overview
Rich product content — compelling descriptions, complete attributes, and well-tagged images — drives both conversion and SEO. When a catalog is imported from a supplier with sparse content, enrichment is the next step. AI tools can generate descriptions, extract attributes, and suggest tags at scale. Platform-native AI features and dedicated apps handle the common cases without custom development.
When to Use This Skill
- When importing a supplier catalog that has only product names, SKUs, and sparse descriptions
- When product descriptions are inconsistent in style or missing SEO keywords
- When image metadata (alt text, tags) is missing and needs to be generated at scale
- When a catalog refresh requires rewriting hundreds of product descriptions in a new brand voice
Core Instructions
Step 1: Determine platform and choose the right tool
| Platform | Built-in AI | Recommended App/Tool |
|---|---|---|
| Shopify | Shopify Magic (AI description generation, built-in) | Jasper for Shopify, or ChatGPT for bulk generation via CSV |
| WooCommerce | None native | ChatGPT + WP All Import for bulk import; Hypotenuse AI WooCommerce plugin |
| BigCommerce | None native | Feedonomics for feed enrichment; Jasper or ChatGPT for descriptions |
| Any platform (bulk) | Claude / ChatGPT / Gemini | Generate descriptions in bulk via CSV, then import using platform tools |
Step 2: Platform-specific setup
Shopify
Option A: Shopify Magic (built-in, free)
Shopify Magic is available to all merchants on any plan.
- Go to Admin → Products → [Product]
- In the product description editor, click the sparkle icon (✨) at the top right
- Enter a prompt or let Shopify Magic generate from the product title and existing details
- Review the generated text — edit to match your brand voice
- Click Save when satisfied
Limitations: Shopify Magic works one product at a time; not suitable for bulk enrichment.
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/attribute-extraction-from-descriptions/criteria.json 2.4 KB
- evals/attribute-extraction-from-descriptions/task.md 4.7 KB
- evals/batch-description-generation-pipeline/criteria.json 2.8 KB
- evals/batch-description-generation-pipeline/task.md 5.9 KB
- evals/image-tagging-and-human-review-workflow/criteria.json 3.4 KB
- evals/image-tagging-and-human-review-workflow/task.md 3.3 KB
- tile.json 247 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 · 285 lines · 33 tokens per session scan A c8e2fd0dc113
product-content-enrichment 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 2,641 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 2026-08-30.
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