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-151-product-feed-seasonal-keyword-optimizationgit 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-151-product-feed-seasonal-keyword-optimization)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-151-product-feed-seasonal-keyword-optimization"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-151-product-feed-seasonal-keyword-optimization/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-151-product-feed-seasonal-keyword-optimization"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-151-product-feed-seasonal-keyword-optimization.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 | $0.00025 | $0.00631 |
| Opus 5.5 | $0.00010 | $0.00252 |
| Sonnet 5.5 | $0.00005 | $0.00126 |
| Haiku 4.5 | $0.00003 | $0.00063 |
Grade A, and why
skill-151-product-feed-seasonal-keyword-optimization 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 151: Product Feed Seasonal Keyword Optimization
Purpose
Identify opportunities to add seasonal keywords to product titles for Shopping and Performance Max campaigns. Product titles are the primary relevance factor in Shopping ads - incorporating seasonal search terms (e.g., "christmas gift," "black friday deal") improves visibility during high-demand windows.
Data Requirements
Data Source: Standard (analysis) + Merchant Center (implementation)
Standard Data:
data/account/campaigns/*/campaign.md- Identify Shopping/PMax campaignsdata/performance/campaigns/*/ad_groups/*/search_terms_metrics_30_days.md- Seasonal query patterns
Reference GAQL (Shopping Search Terms):
SELECT
campaign.name,
campaign.status,
segments.product_title,
metrics.impressions,
metrics.clicks,
metrics.conversions
FROM shopping_performance_view
WHERE campaign.status = 'ENABLED'
AND segments.date DURING LAST_30_DAYS
AND metrics.impressions > 100
Use /google-ads:get-custom to identify seasonal search patterns in Shopping campaigns.
Note: Actual feed changes must be made in Google Merchant Center, not Google Ads.
Analysis Steps
- Identify Shopping/PMax campaigns: Check campaign types in standard data
- Map seasonal opportunities: List upcoming events and relevant seasonal modifiers
- Analyze search queries: Review search terms for seasonal patterns driving traffic
- Identify title gaps: Find products without seasonal keywords that match seasonal queries
- Plan implementation timeline: Schedule title updates 2-3 weeks before peak
Thresholds
| Condition | Severity |
|---|---|
| Major event within 3 weeks, no seasonal title optimization planned | Critical |
| High-volume seasonal queries not reflected in product titles | Warning |
| Products in gift-relevant categories without "gift" modifiers during Q4 | Warning |
| Prior seasonal titles not reverted post-event | Warning |
| Product categories with low seasonal relevance being modified | Info |
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 · 77 lines · 25 tokens per session scan A cf3f3247ab5f
skill-151-product-feed-seasonal-keyword-optimization is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 25 tokens to every session and 631 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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