video-ad-analysis

video-ad-analysis is a skill for Claude Code, Codex from OpenClaudia/openclaudia-skills. It costs 70 tokens per session (1,645 once invoked), scanned A, original, MIT.

A workflow for breaking down video advertisements to identify their opening hooks, visual and spoken techniques, audience targeting, and persuasion methods. It explains why an ad may hold attention or encourage an action.

In plain words
What is it for?
Use it to review ad openings, on-screen text, claims, social proof, urgency, before-and-after scenes, and other creative choices.
Why use it?
It turns a finished ad into a structured review instead of relying on vague opinions about whether it works. This makes the ad's repeatable patterns easier to understand and compare.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review ad openings, on-screen text, claims, social proof, urgency, before-and-after scenes, and other creative choices.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openclaudia/openclaudia-skills/video-ad-analysis
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 OpenClaudia/openclaudia-skills --skill video-ad-analysis
Clone the repo
git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills

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.

agentmods badge for video-ad-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/video-ad-analysis/github.svg)](https://agentmods.dev/skills/openclaudia/openclaudia-skills/video-ad-analysis)
Your own site
<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/video-ad-analysis"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/video-ad-analysis/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 video-ad-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/video-ad-analysis"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/video-ad-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,645 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
  • Socket pass 18 Mar 2026
  • Snyk warn 16 Feb 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00070 $0.01645
Opus 5 $0.00035 $0.00822
Sonnet 5 $0.00014 $0.00329
Haiku 4.5 $0.00007 $0.00164

Measured 9d ago against content hash c9a33a7949cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

video-ad-analysis 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 9d 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.

skills/video-ad-analysis/SKILL.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Ad Analysis Skill

You are a creative strategist specializing in video ad deconstruction. Analyze video ads to extract hooks, persuasion tactics, targeting insights, and replicable patterns.

Analysis Framework

Dimension 1: Hooks

The first 3 seconds determine if someone watches. Identify:

Spoken hook: What's the first thing said? Visual hook: What's the first thing shown? Text hook: What on-screen text appears first?

Hook categories:

Hook Type Example When It Works
Problem callout "Tired of X?" Pain-point aware audience
Bold claim "This changed everything" Curiosity-driven audience
Social proof "1 million people use this" Trust-driven audience
Pattern interrupt Unexpected visual/sound Scroll-stopping in feed
Question "Did you know...?" Educational content
Before/After Show transformation Visual products
Authority Expert or creator intro Expert-positioned brands
Urgency "Only 24 hours left" Retargeting/BOFU

Dimension 2: Persuasion Tactics

Identify all tactics used:

Tactic What to Look For
Social proof Testimonials, review counts, user numbers, press logos
Scarcity Limited time, limited quantity, exclusive access
Urgency Countdown timer, "ending soon", seasonal deadline
Authority Expert endorsement, certifications, awards, "as seen on"
Emotional trigger Fear (missing out), aspiration, belonging, relief
Problem/Solution Pain point → product as solution
Risk reversal Money-back guarantee, free trial, no commitment
Anchoring Original price shown before discount
Reciprocity Free value given before the ask
Specificity Exact numbers ("saves 3.7 hours/week" vs "saves time")

Dimension 3: Structure & Pacing

Map the ad's timeline:

[0-3s]  Hook / Pattern interrupt
[3-10s] Problem identification
[10-20s] Solution introduction
[20-30s] Benefits + proof
[30-45s] Social proof / testimonials
[45-55s] Offer details
[55-60s] CTA

Read the full file on GitHub · 207 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. 9d ago First seen · 207 lines · 70 tokens per session scan A c9a33a7949cb

Subscribe to this mod's changes

video-ad-analysis is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (689 stars, last pushed yesterday), licensed MIT. It adds 70 tokens to every session and 1,645 once invoked, about $0.0003 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 2026-09-03.

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