video-ad-specs

video-ad-specs is a skill for Claude Code from magentosh/superpowers. It costs 113 tokens per session (2,358 once invoked), scanned A, original, from a forked repository, no licence file.

A guide to creating video advertisements for TikTok, Instagram, YouTube, Facebook, and LinkedIn. It covers each platform’s required video size, length, captions, and a common attention-to-action structure.

In plain words
What is it for?
Use it to plan and produce paid social ads and other video marketing campaigns.
Why use it?
It helps prevent ads from failing platform requirements and makes the creative easier to plan.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the inference-sh plugin — 86 skills shipped together

Good fit Use it to plan and produce paid social ads and other video marketing campaigns.

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

Made for: Claude Code.

Or install inference-sh, the plugin that ships this one along with the rest of its 86 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 video-ad-specs

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/magentosh/superpowers/video-ad-specs"><img src="https://agentmods.dev/badge/skills/magentosh/superpowers/video-ad-specs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,358 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 warn 28 Aug 2026
  • Snyk pass 28 Aug 2026
How audits are shown
Origin fork From a forked repository.
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 $0.00113 $0.02358
Opus 5 $0.00056 $0.01179
Sonnet 5 $0.00023 $0.00472
Haiku 4.5 $0.00011 $0.00236

Measured 9d ago against content hash c6100c91b388, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

video-ad-specs 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.

guides/video/video-ad-specs/SKILL.md · 261 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 261 lines · 113 tokens per session scan A c6100c91b388

Subscribe to this mod's changes

video-ad-specs is a skill published in the GitHub repository magentosh/superpowers (0 stars, last pushed 1mo ago), with no licence file. It adds 113 tokens to every session and 2,358 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It comes from a forked repository.

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