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 gabrielmoreira/agent-skills-mirror --skill product-ad-video-scriptgit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/product-ad-video-script)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/product-ad-video-script"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/product-ad-video-script/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/gabrielmoreira/agent-skills-mirror/product-ad-video-script"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/product-ad-video-script.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00019 | $0.00483 |
| Opus 5 | $0.00010 | $0.00242 |
| Sonnet 5 | $0.00004 | $0.00097 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
product-ad-video-script 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 11d 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.
What it actually says
Product Ad Video Script
Use this workflow when the user wants to turn a product, landing page, offer, screenshot, or rough idea into a short ad video plan and script.
Use this workflow to plan the ad first, then execute only the assets and edits the chosen script actually needs.
When to Use
- The user provides a product, product page, app, feature, screenshot, or offer.
- The user asks for ad copy, hooks, UGC script, promo video, product reel, launch video, or short-form marketing video.
- The task needs angles, scene structure, captions, CTA, and visual treatment.
Workflow
- Read the product context: what it is, who it is for, core benefit, proof, offer, limitations, and required claims.
- Extract or infer the customer problem, desired outcome, objections, and strongest differentiator.
- Pick or propose 2-4 ad angles using references/ad-script-framework.md.
- For the chosen angle, write a concise video structure: hook, problem, demo or proof, benefit, objection handling, CTA.
- Map each beat to required visuals using product/page assets or user-provided media. Generate new visuals only when the script needs them.
- Create the timeline or present the script first depending on the user's intent.
- QA claims, readability, pacing, CTA clarity, brand fit, and whether the first seconds explain why the viewer should care.
Rules
- Ground claims in the product page, user notes, or visible assets. Do not invent prices, guarantees, medical claims, revenue claims, or endorsements.
- Prefer clear benefits over feature lists.
- Keep hooks concrete and viewer-facing.
- If required information is missing and affects truthfulness or positioning, ask or label the assumption.
- Match the visual plan to what OpenChatCut can make now; do not prescribe external-only steps unless the user asks.
- Do not add transitions, effects, music, or voiceover unless the selected script calls for them.
Output
For planning, show angle, target viewer, hook, script beats, visual plan, captions, CTA, and assumptions. For execution, also report what was added to the timeline.
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.
- 11d ago First seen · 39 lines · 19 tokens per session scan A d2dc791c3602
product-ad-video-script is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 483 once invoked, about $0.0001 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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