A review process for YouTube advertising campaigns, including skippable and non-skippable videos, bumper ads, Shorts, and Demand Gen campaigns.

Use it to check video campaigns, assess their creative and targeting choices, review measurement, and produce YouTube-specific findings with a health score.

It helps find problems in campaign setup, video quality, audience targeting, measurement, and performance reporting.

ads-youtube — Skill for Claude Code and Codex by citedy/adclaw

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 citedy/adclaw --skill ads-youtube

Clone the repo

git clone --depth 1 https://github.com/citedy/adclaw

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/citedy/adclaw/ads-youtube/github.svg)](https://agentmods.dev/skills/citedy/adclaw/ads-youtube)

Your own site

<a href="https://agentmods.dev/skills/citedy/adclaw/ads-youtube"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/citedy/adclaw/ads-youtube"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/ads-youtube.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,357 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.

Origin 88% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00071	$0.01357
Opus 5.5	$0.00028	$0.00543
Sonnet 5.5	$0.00014	$0.00271
Haiku 4.5	$0.00007	$0.00136

Measured 2mo ago against content hash 466b6d0c6af9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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

This is a copy

88% identical to ads-youtube — 28 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.

src/adclaw/agents/skills/ads-youtube/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 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-shared/references/google-audit.md for YouTube-relevant checks
Read ads-shared/references/platform-specs.md for video specifications
Read ads-shared/references/benchmarks.md for YouTube benchmarks
Read ads-shared/references/scoring-system.md for health score algorithm
Validate: confirm at least one active video campaign exists before proceeding
Evaluate campaign setup, creative quality, targeting, and measurement
Validate: verify all campaign types identified before generating report
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

Read the full file on GitHub · 142 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.

2mo ago First seen · 142 lines · 71 tokens per session scan A 466b6d0c6af9

Subscribe to this mod's changes

ads-youtube is a skill published in the GitHub repository citedy/adclaw (49 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 71 tokens to every session and 1,357 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to ads-youtube, differing in 28 lines, and is treated as a copy.

Analytics and metrics Marketing and SEO agent-framework ai ai-agents ai-marketing chatbot content-generation

ads-youtube next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ads-youtubecitedy/adclaw	Skill	49	3mo ago	Apache-2.0	A	71	Claude Code, Codex
skill-creatorHKUDS/nanobot	Skill	50k	yesterday	MIT	A	13	Claude Code, Codex
cronHKUDS/nanobot	Skill	50k	yesterday	MIT	A	8	Claude Code, Codex
tmuxHKUDS/nanobot	Skill	50k	yesterday	MIT	A	20	Claude Code, Codex
weatherHKUDS/nanobot	Skill	50k	yesterday	MIT	A	8	Claude Code, Codex
clawhubHKUDS/nanobot	Skill	50k	yesterday	MIT	A	19	Claude Code, Codex
githubHKUDS/nanobot	Skill	50k	yesterday	MIT	A	19	Claude Code, Codex