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 naveedharri/benai-skills --skill ads-youtubegit clone --depth 1 https://github.com/naveedharri/benai-skillsWrote 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/naveedharri/benai-skills/ads-youtube)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/ads-youtube"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/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/naveedharri/benai-skills/ads-youtube"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/ads-youtube.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 104 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 12d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- ads-youtube — 100% identical, 0 lines differ
- ads-youtube — 88% identical, 27 lines differ
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.
- 12d ago First seen · 145 lines · 79 tokens per session scan A f099bd975970
ads-youtube is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed today), 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
project
A single starting point for setting up an AI-assisted project in Claude Cowork. It asks questions about the work, reviews available add-ons, and creates project instructions, custom agents, and connected workflows.
doc-html-slide
A renderer that turns presentation content into a single HTML slide deck that opens directly in a browser. It creates a 16:9 slide sequence with navigation, fullscreen viewing, printing to PDF, and speaker-note controls.
cs-channel-message
A channel-message writing tool for search ads, advertising, customer relationship messages, and app notifications. It uses the NCM sequence—Need, Channel, Moment, Message, and CTA—to adapt wording to where and when customers see it.
design-sync-upload
An uploader for design-system files such as DESIGN.md, tokens, logos, fonts, and images into Claude Design. It can either use an authenticated connection or prepare a folder and guide for manual upload.
design-tokens-transformer
A converter for design tokens, which are named values for colors, fonts, spacing, borders, shadows, and motion. It translates one shared token source into CSS variables and Tailwind or shadcn-style theme files, and can convert them back for checking.
media-higgsfield-explainer
A Higgsfield workflow for making non-photorealistic narrated explainer videos. It pairs each narration line with a 10-second animated clip and joins the clips into one finished video.