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 OpenClaudia/openclaudia-skills --skill video-ad-analysisgit clone --depth 1 https://github.com/OpenClaudia/openclaudia-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/openclaudia/openclaudia-skills/video-ad-analysis)<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.
<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>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00070 | $0.01645 |
| Opus 5 | $0.00035 | $0.00822 |
| Sonnet 5 | $0.00014 | $0.00329 |
| Haiku 4.5 | $0.00007 | $0.00164 |
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.
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
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.
- 9d ago First seen · 207 lines · 70 tokens per session scan A c9a33a7949cb
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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