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 itsjwill/ad-audit-pro --skill ads-youtubegit clone --depth 1 https://github.com/itsjwill/ad-audit-proWrote 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/itsjwill/ad-audit-pro/ads-youtube)<a href="https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-youtube"><img src="https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-youtube/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/itsjwill/ad-audit-pro/ads-youtube"><img src="https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-youtube.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 | $0.00079 | $0.01332 |
| Opus 5 | $0.00039 | $0.00666 |
| Sonnet 5 | $0.00016 | $0.00266 |
| Haiku 4.5 | $0.00008 | $0.00133 |
Grade A, and why
ads-youtube 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 10d 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.
This is a copy
100% identical to ads-youtube — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Ads Analysis
Process
- Collect YouTube Ads data (Google Ads export filtered to Video campaigns)
- Read
ads/references/google-audit.mdfor YouTube-relevant checks - Read
ads/references/platform-specs.mdfor video specifications - Read
ads/references/benchmarks.mdfor YouTube benchmarks - Read
ads/references/scoring-system.mdfor health score algorithm - Evaluate campaign setup, creative quality, targeting, and measurement
- Generate YouTube-specific findings report with health score
Campaign Types Assessment
Skippable In-Stream (TrueView)
- Length: 12s minimum, 15-30s recommended (can be longer)
- Bidding: Target CPV or Target CPA
- Skip rate benchmark: 65-80% is normal
- View rate: ≥15% is good
- Evaluate: hook quality in first 5 seconds, CTA card usage
Non-Skippable In-Stream
- Length: up to 60s (expanded 2025; previously 15s/20s)
- Bidding: Target CPM
- Best for: brand awareness, reach campaigns
- Evaluate: message completeness, frequency capping, optimal length testing
Bumper Ads
- Length: exactly 6s (non-skippable)
- Bidding: Target CPM
- Best for: reach extension, brand reinforcement
- Evaluate: single-message focus, brand visibility throughout
YouTube Shorts Ads
- Format: vertical 9:16 (1080x1920)
- Length: up to 60s
- Best for: younger demographics, mobile-first
- Evaluate: native feel (not repurposed horizontal), sound-on optimization
Demand Gen (replaces Discovery)
- Placements: YouTube Home Feed, Watch Next, Discover, Gmail
- Formats: image + video carousel, product feeds
- Evaluate: creative diversity, product feed quality, audience signals
Creative Quality Assessment
Hook Analysis (First 5 Seconds)
- Does the video capture attention immediately?
- Brand mention within first 5 seconds (recommended for awareness)
- Problem/benefit statement upfront (recommended for action campaigns)
- No slow intros, title cards, or logos-only openings
Production Quality
- Audio quality: clear, professional, background music appropriate
- Visual quality: HD minimum (1080p), proper lighting
- Subtitles/captions: present (85% of Facebook video watched muted, ~30% on YouTube)
- End screen: CTA, subscribe button, related video cards
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.
- 10d ago First seen · 145 lines · 79 tokens per session scan A f099bd975970
ads-youtube is a skill published in the GitHub repository itsjwill/ad-audit-pro (9 stars, last pushed 6mo ago), licensed MIT. It adds 79 tokens to every session and 1,332 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ads-youtube, differing in 0 lines, and is treated as a copy.
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