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 TrueClicks/claude-plugins --skill skill-083-product-feed-attribute-completenessgit clone --depth 1 https://github.com/TrueClicks/claude-pluginsWrote 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/trueclicks/claude-plugins/skill-083-product-feed-attribute-completeness)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-083-product-feed-attribute-completeness"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-083-product-feed-attribute-completeness/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/trueclicks/claude-plugins/skill-083-product-feed-attribute-completeness"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-083-product-feed-attribute-completeness.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 | $0.00035 | $0.00606 |
| Opus 5.5 | $0.00014 | $0.00242 |
| Sonnet 5.5 | $0.00007 | $0.00121 |
| Haiku 4.5 | $0.00003 | $0.00061 |
Grade A, and why
skill-083-product-feed-attribute-completeness 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 21d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 083: Product Feed Attribute Completeness
Purpose
Verify that critical product identifiers (GTIN, MPN, Brand) and key attributes are populated in the product feed. Complete attribute data improves product matching, search relevance, and prevents listing disapprovals.
Data Requirements
Data Source: Custom GAQL Required
The standard export does not include product attribute details like GTIN/MPN.
GAQL Query:
SELECT
campaign.name,
campaign.advertising_channel_type,
segments.product_item_id,
segments.product_title,
segments.product_brand,
segments.product_type_l1,
segments.product_type_l2,
segments.product_condition,
metrics.impressions,
metrics.clicks
FROM shopping_performance_view
WHERE campaign.advertising_channel_type IN ('SHOPPING', 'PERFORMANCE_MAX')
AND segments.date DURING LAST_30_DAYS
ORDER BY metrics.impressions DESC
LIMIT 2000
Run via /google-ads:get-custom with query name product_attributes.
Note: GTIN/MPN data requires Merchant Center API access.
Analysis Steps
- Assess identifier coverage: Check Brand, Product Type availability from Google Ads data.
- Evaluate category-specific attributes: Apparel needs color/size/gender.
- Identify completeness gaps: Flag high-impression products with missing data.
- Correlate with performance: Compare completeness vs CTR/conversion rate.
Thresholds
| Condition | Severity |
|---|---|
| Brand missing | Critical |
| Product Type < 2 levels deep | Critical |
| GTIN missing in required category (via MC) | Critical |
| Color missing (apparel) | Warning |
| Size missing (apparel) | Warning |
| Google Product Category too generic | Warning |
Output
Short (default):
## Product Feed Attribute Audit
**Account:** [Name] | **Products Analyzed:** [X] | **Issues:** [Y]
### Attribute Coverage (from Google Ads data)
| Attribute | Coverage | Status |
|-----------|----------|--------|
| Brand | [%] | [Pass/Fail] |
| Product Type L1 | [%] | [Pass/Fail] |
| Product Type L2 | [%] | [Pass/Fail] |
### Critical ([Count])
- **[Product]**: Missing [attribute] -> Add from product data
### Recommendations
1. [Priority action - fix in Merchant Center feed]
2. [Secondary action]
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.
- 21d ago First seen · 86 lines · 35 tokens per session scan A c96d0748fa02
skill-083-product-feed-attribute-completeness is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 35 tokens to every session and 606 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-08.
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