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-information-managementgit 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-information-management)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/product-information-management"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/product-information-management/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-information-management"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/product-information-management.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 | $0.00031 | $0.02923 |
| Opus 5 | $0.00015 | $0.01461 |
| Sonnet 5 | $0.00006 | $0.00585 |
| Haiku 4.5 | $0.00003 | $0.00292 |
Grade A, and why
product-information-management 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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Information Management
Overview
A Product Information Management (PIM) system is the single source of truth for product data — names, descriptions, images, attributes, and digital assets — across all channels (website, marketplaces, print catalogs). Akeneo and Salsify are the dominant PIM platforms. This skill covers connecting a PIM as the authoritative source for product enrichment, implementing sync between the PIM and your commerce platform, and building a pipeline that transforms PIM data into channel-specific formats.
When to Use This Skill
- When product data is inconsistent across your website, marketplace listings, and internal systems
- When the merchandising team manages product content in a PIM and the commerce platform needs to reflect it
- When building a new headless storefront that needs a source of enriched product data
- When adding a new sales channel (marketplace, B2B portal) that needs channel-specific product data
- When auditing product data quality and identifying missing attributes across the catalog
Core Instructions
Step 1: Determine your platform and PIM integration approach
| Platform | PIM Integration Option | What It Syncs |
|---|---|---|
| Shopify | Akeneo's official Shopify connector (free, Akeneo Marketplace) or Salsify Syndication for Shopify | Product names, descriptions, images, and attributes → Shopify product metafields; Shopify variants mapped to Akeneo product models |
| WooCommerce | Akeneo WooCommerce Connector (open-source, GitHub) or custom REST API sync | Product data pushed to WooCommerce via the Products REST API; images uploaded to WordPress media library |
| BigCommerce | Akeneo BigCommerce Connector (Akeneo Marketplace) or Salsify for BigCommerce | Product attributes pushed to BigCommerce custom fields and variants; image syndication to BigCommerce CDN |
| Custom / Headless | Direct REST API integration with Akeneo or Salsify | Full control over data mapping; incremental sync via updated filter; image upload to your CDN during sync |
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/akeneo-client-auth-and-incremental-sync/criteria.json 3.1 KB
- evals/akeneo-client-auth-and-incremental-sync/task.md 1.4 KB
- evals/product-transformation-attribute-options/criteria.json 2.9 KB
- evals/product-transformation-attribute-options/task.md 3.8 KB
- evals/salsify-integration-and-data-quality-rep/criteria.json 2.8 KB
- evals/salsify-integration-and-data-quality-rep/task.md 3.3 KB
- tile.json 244 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 · 268 lines · 31 tokens per session scan A ef786cea923b
product-information-management is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (52 stars, last pushed 6mo ago), licensed MIT. It adds 31 tokens to every session and 2,923 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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