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-036-video-asset-presencegit 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-036-video-asset-presence)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-036-video-asset-presence"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-036-video-asset-presence/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-036-video-asset-presence"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-036-video-asset-presence.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 | $0.00023 | $0.00677 |
| Opus 5 | $0.00012 | $0.00338 |
| Sonnet 5 | $0.00005 | $0.00135 |
| Haiku 4.5 | $0.00002 | $0.00068 |
Grade A, and why
skill-036-video-asset-presence 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 036: Video Asset Presence in PMax and Demand Gen
Purpose
Performance Max and Demand Gen serve across video placements (YouTube, Discover, Gmail). Without video assets, Google auto-generates low-quality videos from images, which typically underperform. Providing custom video assets gives control over brand messaging and improves video inventory performance.
Data Requirements
Data Source: Custom GAQL Required
Standard export does not include video asset details.
GAQL Query (video assets):
SELECT
asset.id,
asset.name,
asset.type,
asset.youtube_video_asset.youtube_video_id,
asset.youtube_video_asset.youtube_video_title,
customer_asset.status
FROM customer_asset
WHERE asset.type = 'YOUTUBE_VIDEO'
GAQL Query (PMax asset groups):
SELECT
campaign.name,
asset_group.name,
asset_group_asset.asset,
asset_group_asset.field_type,
asset_group_asset.status
FROM asset_group_asset
WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
AND asset_group_asset.field_type = 'YOUTUBE_VIDEO'
Run via /google-ads:get-custom with query name video_assets.
Analysis Steps
- Identify video-required campaigns: Performance Max (highly recommended), Demand Gen (strongly recommended), Video (required), App
- Inventory video assets: Count by campaign, note specifications (duration, aspect ratio)
- Check specifications: Duration 10-60s (15-30s optimal), aspect ratios (16:9 horizontal, 9:16 vertical, 1:1 square)
- Assess coverage: Each PMax asset group should have videos, identify those relying on auto-generated
- Evaluate diversity: Different lengths, multiple aspect ratios, varied messaging
Thresholds
| Condition | Severity |
|---|---|
| PMax campaign without videos | Critical |
| Demand Gen without videos | Critical |
| Asset group without videos | Warning |
| Only horizontal videos (no 9:16 or 1:1) | Warning |
| Video > 60 seconds | Warning |
Output
Short (default):
## Video Asset Audit
**Account:** [Name] | **PMax/DemandGen:** [X] | **Without Videos:** [Y]
### Critical ([Count])
- **[Campaign]** (PMax): 0 videos -> Upload 16:9 + 9:16 + 1:1 (15-30s each)
### Warnings ([Count])
- **[Campaign]**: Only horizontal videos -> Add vertical (9:16)
### Coverage
| Campaign Type | Campaigns | With Videos | Status |
|---------------|-----------|-------------|--------|
| Performance Max | X | X | OK/Missing |
| Demand Gen | X | X | OK/Missing |
### 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.
- 11d ago First seen · 90 lines · 23 tokens per session scan A ea34a28f1b99
skill-036-video-asset-presence is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 677 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…
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…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…