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 smit-vanani/claude-promo-video --skill promo-videogit clone --depth 1 https://github.com/smit-vanani/claude-promo-videoWrote 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/smit-vanani/claude-promo-video/promo-video)<a href="https://agentmods.dev/skills/smit-vanani/claude-promo-video/promo-video"><img src="https://agentmods.dev/badge/skills/smit-vanani/claude-promo-video/promo-video/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/smit-vanani/claude-promo-video/promo-video"><img src="https://agentmods.dev/badge/skills/smit-vanani/claude-promo-video/promo-video.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 | $0.00095 | $0.05393 |
| Opus 5 | $0.00048 | $0.02697 |
| Sonnet 5 | $0.00019 | $0.01079 |
| Haiku 4.5 | $0.00010 | $0.00539 |
Grade A, and why
promo-video scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
(`curl` the stylesheet chunks and grep for hex codes / brand CSS variables). How it starts
The opening of the file, as written. The whole thing — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/promo-video — website URL + a few answers → finished premium video
Core promise: every video gets an ORIGINAL template — no exceptions for "just the bones". Never reuse a previous product's design system, and never start by copying an old composition file as scaffolding. Research the brand, then design a new visual world for it — new stage, new palette, new hero objects, new motion language.
Anti-fingerprint checklist (learned the hard way: a user instantly recognized their "new" video as a re-skin of an earlier product's template even though every color and object had changed). Structural DNA leaks through these five channels — ALL of them must differ from previous videos:
- Type treatment — e.g. tracked-uppercase letterspacing-collapse reads as the same video even in a new font/color. Pick a different signature (typewriter+caret, inverted pills, serif contrast, mask slides…).
- Layout archetype — kicker + hairline rule + centered headline is a fingerprint. Vary the grid: corner captions, left-anchored, split-screen.
- Payoff physics — shockwave rings + rising particles = same video. Other verbs: full-screen invert flash, list reorder slam, split-wipe, letterpress stamp, build-out from a single pixel.
- Scene-wrapper motion — the in/out transition style (zoom-through blur vs lateral sway vs vertical roll) is felt more than seen; change it.
- Recurring stage prop — dust + radial spotlight vs grain + ghost object.
The reliable way to be original: derive the world from the product's CORE INTERACTION, not from a generic "premium dark stage". A search product → the film lives inside typed queries and result rows; a jeweller → a showroom; a courier → parcels and routes. When a draft feels derivative, this is the fix.
Two exceptions:
- The user explicitly asks for a series/sequel cut matching an earlier video of THEIR OWN product (then import that video's exported primitives).
- Reference-clone mode — the user provides a reference video and says "make it exactly like this" / "same video as reference". Then DON'T design original: extract frames with ffmpeg (or a video-watching skill if you have one), READ the frames, and map its shot grammar — beat list, type treatment (size/weight/two-tone/pills), stage, hero-shot types, transition style, dark→light shifts, outro pattern. Clone that grammar shot-for-shot, adapted to the product's brand + real features. "Inspired by" is NOT what they asked for — match the structure literally. (Learned the hard way: several rejected "inspired" drafts before realizing the user wanted a literal clone.)
STUDIO HOME: ~/promo-video-studio — everything happens there, regardless
of the current working directory. If it doesn't exist, bootstrap it by
running this skill's setup script (auto-installs ffmpeg/Node, scaffolds the
Remotion studio, copies the helper scripts in):
bash <skill-dir>/scripts/setup.sh. If that's unavailable, do it manually:
npx create-video@latest ~/promo-video-studio (blank template, TypeScript),
then copy this skill's scripts/ (beatmap.mjs, frames.sh) into
~/promo-video-studio/scripts/. When done, always copy the final MP4 to the
user's working directory too.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 364 lines · 95 tokens per session scan A 320ddedfe3fc
promo-video is a skill published in the GitHub repository smit-vanani/claude-promo-video (13 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 5,393 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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