woo-catalog-perfection

woo-catalog-perfection is a skill for Claude Code from respira-press/agent-skills-wordpress. It costs 74 tokens per session (1,029 once invoked), scanned A, original, MIT.

A guided repair workflow for WooCommerce product catalog data used in online shopping feeds.

In plain words
What is it for?
Use it to audit catalog readiness, fix missing product information in ordered batches, save snapshots before changes, and re-check the results.
Why use it?
Missing images, descriptions, brands, identifiers, or category mappings can cause products to be rejected or ranked poorly by shopping services.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the respira-wordpress-skills plugin — 50 skills shipped together

Good fit Use it to audit catalog readiness, fix missing product information in ordered batches, save snapshots before changes, and re-check the results.

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Install with agentmods
npx agentmods add skills/respira-press/agent-skills-wordpress/woo-catalog-perfection
Install

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.

Any agent
npx skills add respira-press/agent-skills-wordpress --skill woo-catalog-perfection
Clone the repo
git clone --depth 1 https://github.com/respira-press/agent-skills-wordpress

Made for: Claude Code.

Or install respira-wordpress-skills, the plugin that ships this one along with the rest of its 50 skills.

Wrote 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.

agentmods badge for woo-catalog-perfection

README.md
[![agentmods](https://agentmods.dev/badge/skills/respira-press/agent-skills-wordpress/woo-catalog-perfection/github.svg)](https://agentmods.dev/skills/respira-press/agent-skills-wordpress/woo-catalog-perfection)
Your own site
<a href="https://agentmods.dev/skills/respira-press/agent-skills-wordpress/woo-catalog-perfection"><img src="https://agentmods.dev/badge/skills/respira-press/agent-skills-wordpress/woo-catalog-perfection/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.

agentmods 80×15 button for woo-catalog-perfection

Your own site · 80×15
<a href="https://agentmods.dev/skills/respira-press/agent-skills-wordpress/woo-catalog-perfection"><img src="https://agentmods.dev/badge/skills/respira-press/agent-skills-wordpress/woo-catalog-perfection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,029 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.01029
Opus 5 $0.00037 $0.00515
Sonnet 5 $0.00015 $0.00206
Haiku 4.5 $0.00007 $0.00103

Measured 11d ago against content hash 01221af55aca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

woo-catalog-perfection 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 11d 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.

skills/woo-catalog-perfection/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Woo Catalog Perfection

Description

Close the loop from "your catalog scores 43" to "your catalog scores 90+", product by product, with every change snapshotted.

AI shopping surfaces reject rows that are missing images, descriptions, brands or identifiers, and rank thin content last. This skill runs the Respira readiness fixlist as a work queue: score the catalog, fetch the ordered list of failing products with the exact tool that fixes each gap, apply the fixes in safe batches, and re-score until the target is reached. It writes real content, not filler: descriptions are drafted from the product's own attributes, categories and existing copy, and anything uncertain is queued for the merchant instead of invented.

Requires the Respira WooCommerce Add-on v3.1+.


Trigger Phrases

This skill activates when the user says any of the following:

  • "fix my catalog for ai"
  • "improve my ai readiness score"
  • "fix products failing the feed checks"
  • "my products keep getting rejected by google"
  • "catalog perfection"
  • "fix missing gtins" / "fix missing brands" / "fix product descriptions"
  • "get my catalog to 90"
  • "clean up my product data"
  • "feed disapprovals woocommerce"

Do NOT trigger for: feed setup and platform registration (that is woo-agent-storefront), pricing changes, or content work outside the catalog.


Execution Workflow

Step 1: Score and scope

respira_get_site_context, then woocommerce_catalog_ai_readiness for the baseline score and woocommerce_readiness_fixlist for the ordered work queue. Report: current score, how many products fail which checks, and the estimated pass count. Agree the target (default 90) and the batch size (default 10 products per pass, so every batch is reviewable).

Step 2: Fix in priority order

The fixlist orders work by impact. Per product, apply only what the fixlist maps, using the tool it names:

  1. Missing GTINwoocommerce_update_product with global_unique_id when the user can supply real GTINs (ask; never fabricate a GTIN. If none exist, assign brand + SKU so identifier rules pass via brand+MPN).
  2. Missing brandwoocommerce_create_brand / woocommerce_update_product brand assignment. Derive the brand from the product name or ask once for the house brand; apply consistently.
  3. Missing or thin descriptionwoocommerce_update_product. Draft 40-80 words from the product's own attributes, category and existing short description. No invented specs, no superlatives.
  4. Missing image alt textwoocommerce_set_image_alt, descriptive and under 125 characters.
  5. Missing gallerywoocommerce_update_product with gallery_image_ids only from existing media (respira_list_media); never hotlink.
  6. Unmapped categorieswoocommerce_set_feed_category_mapping to the closest Google taxonomy node.

Read the full file on GitHub · 79 lines

Changes

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.

  1. 11d ago First seen · 79 lines · 74 tokens per session scan A 01221af55aca

Subscribe to this mod's changes

woo-catalog-perfection is a skill published in the GitHub repository respira-press/agent-skills-wordpress (43 stars, last pushed 2d ago), licensed MIT. It adds 74 tokens to every session and 1,029 once invoked, about $0.0004 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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