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-089-pmax-asset-group-structuregit 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-089-pmax-asset-group-structure)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-089-pmax-asset-group-structure"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-089-pmax-asset-group-structure/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-089-pmax-asset-group-structure"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-089-pmax-asset-group-structure.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 | $0.00027 | $0.00665 |
| Opus 5.5 | $0.00011 | $0.00266 |
| Sonnet 5.5 | $0.00005 | $0.00133 |
| Haiku 4.5 | $0.00003 | $0.00067 |
Grade A, and why
skill-089-pmax-asset-group-structure 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 089: Performance Max Asset Group Structure
Purpose
Evaluate whether PMax asset groups are organized by distinct product categories or intent themes. Poorly structured asset groups dilute audience signals and creative relevance, reducing campaign effectiveness.
Data Requirements
Data Source: Custom GAQL Required
The standard export does not include asset group details.
GAQL Query - Asset Groups:
SELECT
campaign.id,
campaign.name,
asset_group.id,
asset_group.name,
asset_group.status,
asset_group.ad_strength
FROM asset_group
WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
AND campaign.status = 'ENABLED'
GAQL Query - Listing Group Filters:
SELECT
asset_group.id,
asset_group.name,
asset_group_listing_group_filter.type,
asset_group_listing_group_filter.case_value.product_type.value,
asset_group_listing_group_filter.case_value.product_brand.value
FROM asset_group_listing_group_filter
WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
Run via /google-ads:get-custom with query name pmax_asset_groups.
Analysis Steps
- Inventory Asset Groups: List all asset groups per PMax campaign; count and check status
- Analyze Structure Logic: Identify if organized by product, brand, margin tier, or intent
- Evaluate Asset Group Quality: Check ad strength ratings and asset coverage
- Check for Structural Issues: Too many (>10) or too few (<2) asset groups; overlapping products
- Assess Performance Correlation: Identify under/over-performers by asset group
Thresholds
| Condition | Severity |
|---|---|
| Ad Strength "Poor" on any asset group | Critical |
| Ad Strength "Average" on >50% of asset groups | Warning |
| No video assets in any asset group | Warning |
| <10 headlines in any asset group | Warning |
| >10 asset groups per campaign | Info |
| <2 asset groups for diverse catalog | Warning |
Output
Short (default):
## PMax Asset Group Structure Audit
**Account:** [name] | **Campaigns:** [count] | **Asset Groups:** [count] | **Issues:** [count]
### Critical
- **[Asset Group]**: Ad Strength Poor - Add [count] headlines, [count] images
### Warnings
- **[Asset Group]**: Missing video assets
- **[Campaign]**: Overlapping product targeting between asset groups
### Recommendations
1. Fix ad strength on [count] asset groups with Poor rating
2. Add video assets to [count] asset groups
3. Restructure [campaign] to separate [products]
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 · 88 lines · 27 tokens per session scan A d0abb0f5095f
skill-089-pmax-asset-group-structure is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 27 tokens to every session and 665 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.
Other skills, from other repositories
asc-subscription-localization
Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources. Use when filling or updating subscription/IAP names and descriptions without App Store Connect UI work.
food-order
Reorder previous Foodora orders, preview cart contents, and track delivery ETA/status with ordercli. Use when the user wants to reorder food, check delivery status, or browse recent Foodora order history. Never confirm an order without explicit user approval.
amazon-reviews-api-skill
This skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a…
Product Photoshoot Workflow
A workflow for turning one product photo into a set of four e-commerce images from different visual directions.
amazon-competitor-analyzer
Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
cloudbase-wechat-integration
A guide for connecting CloudBase applications to WeChat services, including payments, official accounts, and user identity.