Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/hamzaPixl/pixl-ainpx agentmods add skills/hamzapixl/pixl-ai/intro-video-briefWrote 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/hamzapixl/pixl-ai/intro-video-brief)<a href="https://agentmods.dev/skills/hamzapixl/pixl-ai/intro-video-brief"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/intro-video-brief/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/hamzapixl/pixl-ai/intro-video-brief"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/intro-video-brief.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 | $0.00075 | $0.04477 |
| Opus 5.5 | $0.00030 | $0.01791 |
| Sonnet 5.5 | $0.00015 | $0.00895 |
| Haiku 4.5 | $0.00007 | $0.00448 |
Grade A, and why
intro-video-brief 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 1mo 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 — 421 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Two modes:
- Create mode (default): Research product → interview user → generate
video-brief.json→ pass to/remotion - Enhance mode (
--enhanceor when a Remotion project path is provided): Audit existing Remotion composition → identify issues → produce an improvedvideo-brief.json+ inline code suggestions
Design principle: Every video must feel like real motion design — varied scene types, distinct atmospheres per scene, kinetic typography, and intentional hard cuts alongside smooth transitions. Never let every scene use the same layout, same entry animation, or same background treatment.
Mode Detection
Detect which mode to run:
-
Enhance mode if any of:
- Argument contains
--enhance - Argument is a directory path containing
remotion.config.ts,src/Root.tsx, orsrc/compositions/ - User says "improve", "enhance", "fix", "audit", or "update" the video
- Argument contains
-
Create mode otherwise (GitHub URL, website URL, or free-form description)
Read references/video-vocabulary.md for scene type, animation, and atmosphere vocabulary.
CREATE MODE
Step 1: Gather Inputs
-
Parse the argument to identify:
- Directory path → read content files directly (README, content.ts, globals.css, package.json)
- GitHub URL (
github.com/org/repo) → fetch README + repo metadata - Website URL → fetch homepage content
- Free-form description → use as product context directly
-
Ask missing essentials (only ask what cannot be inferred):
Quick questions to shape your intro video: 1. Target platform? [16:9 YouTube/Web | 9:16 TikTok/Reels | 1:1 Instagram] 2. Video duration? [15s | 30s | 60s] 3. Visual tone? [minimal | energetic | bold | corporate | playful] 4. Primary brand color? (hex or "I don't know — pick from the product") 5. Should I include a voiceover script? [yes | no]Skip any question the user already answered via arguments or description.
Step 2: Research the Product
What ships with it
2 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.
- 1mo ago First seen · 421 lines · 75 tokens per session scan A c6a557bc5276
intro-video-brief is a skill published in the GitHub repository hamzaPixl/pixl-ai (2 stars, last pushed 6mo ago), licensed MIT. It adds 75 tokens to every session and 4,477 once invoked, about $0.0003 per session on Opus 5.5. 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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