ads-youtube

ads-youtube is a skill for Claude Code, Codex from naveedharri/benai-skills. It costs 79 tokens per session (1,332 once invoked), scanned A, original, MIT.

A guide for reviewing YouTube advertising campaigns, including skippable videos, non-skippable videos, six-second bumper ads, Shorts, and Demand Gen campaigns. It examines the ads, audiences, campaign setup, and measurement.

In plain words
What is it for?
Analyze campaign settings, video creative quality, audience targeting, skip and view behavior, bidding, frequency limits, calls to action, and measurement; then produce a scored findings report.
Why use it?
It brings YouTube-specific checks and benchmarks into one review, so video campaigns can be assessed consistently. It also focuses attention on the opening seconds, targeting, and tracking results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Part of the ads plugin — 14 skills shipped together

Good fit Analyze campaign settings, video creative quality, audience targeting, skip and view behavior, bidding, frequency limits, calls to action, and measurement; then produce a scored findings report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/naveedharri/benai-skills/ads-youtube
Install

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.

Any agent
npx skills add naveedharri/benai-skills --skill ads-youtube
Clone the repo
git clone --depth 1 https://github.com/naveedharri/benai-skills

Made for: Claude Code, Codex.

Or install ads, the plugin that ships this one along with the rest of its 14 skills.

Wrote 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.

agentmods badge for ads-youtube

README.md
[![agentmods](https://agentmods.dev/badge/skills/naveedharri/benai-skills/ads-youtube/github.svg)](https://agentmods.dev/skills/naveedharri/benai-skills/ads-youtube)
Your own site
<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.

agentmods 80×15 button for ads-youtube

Your own site · 80×15
<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>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,332 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
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.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 12d ago against content hash f099bd975970, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

plugins/ads/skills/ads-youtube/SKILL.md · 145 lines

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

  1. Collect YouTube Ads data (Google Ads export filtered to Video campaigns)
  2. Read ads/references/google-audit.md for YouTube-relevant checks
  3. Read ads/references/platform-specs.md for video specifications
  4. Read ads/references/benchmarks.md for YouTube benchmarks
  5. Read ads/references/scoring-system.md for health score algorithm
  6. Evaluate campaign setup, creative quality, targeting, and measurement
  7. 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

Read the full file on GitHub · 145 lines

Changes

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.

  1. 12d ago First seen · 145 lines · 79 tokens per session scan A f099bd975970

Subscribe to this mod's changes

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.

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