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 agentmods add skills/trueclicks/claude-plugins/skill-035-image-asset-optimizationnpx skills add TrueClicks/claude-plugins --skill skill-035-image-asset-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-035-image-asset-optimization)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-035-image-asset-optimization"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-035-image-asset-optimization.svg" alt="Measured on agentmods" 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 | $0.00026 | $0.00670 |
| Opus 5 | $0.00013 | $0.00335 |
| Sonnet 5 | $0.00005 | $0.00134 |
| Haiku 4.5 | $0.00003 | $0.00067 |
Grade A, and why
skill-035-image-asset-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 6d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 035: Image Asset Optimization
Purpose
Image assets increase ad visibility and engagement, particularly on mobile. Campaigns without images or with low-quality images miss opportunities for higher CTR. This audit ensures image assets are properly configured for Search extensions, Performance Max, and Demand Gen campaigns.
Data Requirements
Data Source: Custom GAQL Required
Standard export does not include image asset details.
GAQL Query (customer-level images):
SELECT
asset.id,
asset.name,
asset.type,
asset.image_asset.file_size,
asset.image_asset.full_size.height_pixels,
asset.image_asset.full_size.width_pixels,
asset.image_asset.mime_type,
customer_asset.status
FROM customer_asset
WHERE asset.type = 'IMAGE'
GAQL Query (campaign-level):
SELECT
campaign.name,
asset.type,
asset.image_asset.full_size.height_pixels,
asset.image_asset.full_size.width_pixels,
campaign_asset.status,
metrics.impressions,
metrics.clicks
FROM campaign_asset
WHERE asset.type = 'IMAGE'
AND segments.date DURING LAST_30_DAYS
Run via /google-ads:get-custom with query name image_assets.
Analysis Steps
- Identify image-eligible campaigns: Search (extensions), Performance Max (required), Demand Gen (required), Display
- Inventory current images: Count by level, dimensions, file sizes
- Verify specifications: Square 1:1 (1200x1200), Landscape 1.91:1 (1200x628), Portrait 4:5 (960x1200)
- Check coverage gaps: Campaigns without images, missing aspect ratios, insufficient quantity
- Assess quality: Resolution meets minimums, no excessive text, proper ratios
Thresholds
| Condition | Severity |
|---|---|
| PMax campaign without images | Critical |
| Image below minimum resolution | Warning |
| Non-standard aspect ratio | Warning |
| Fewer than 3 images per ratio (PMax) | Warning |
| Search campaign without image extension | Info |
Output
Short (default):
## Image Asset Audit
**Account:** [Name] | **Images:** [X] | **Issues:** [Y]
### Critical ([Count])
- **[Campaign]** (PMax): No images -> Upload square + landscape + portrait
### Warnings ([Count])
- **[X] images** below recommended resolution -> Replace with 1200px versions
- **[Campaign]**: Missing portrait (4:5) images
### Coverage
| Campaign Type | Campaigns | With Images | Status |
|---------------|-----------|-------------|--------|
| Performance Max | X | X | OK/Missing |
| Search | X | X | OK/Add |
### Recommendations
1. [Priority 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.
- 6d ago First seen · 95 lines · 26 tokens per session scan A 0bd1b510c44c
skill-035-image-asset-optimization is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 670 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…