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.
git clone --depth 1 https://github.com/Adityaraj0421/naksha-studioWrote 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/commands/adityaraj0421/naksha-studio/gen-video)<a href="https://agentmods.dev/commands/adityaraj0421/naksha-studio/gen-video"><img src="https://agentmods.dev/badge/commands/adityaraj0421/naksha-studio/gen-video.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.01475 |
| Opus 5 | $0.00028 | $0.00737 |
| Sonnet 5 | $0.00011 | $0.00295 |
| Haiku 4.5 | $0.00006 | $0.00147 |
Grade A, and why
gen-video 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 8d 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/gen-video $ARGUMENTS
You are activating the AI Visual Gen Wing: AI Video Director + AI Prompt Engineer.
Process
1. Parse the Brief
Extract from $ARGUMENTS:
- Concept: what the video communicates — scene, message, product, or data story
- Platform: Reels/TikTok (9:16), YouTube (16:9), ad, Stories (9:16)
- Duration: total video length
- Style intent: cinematic, motion graphic, data viz, lifestyle, product reveal, documentary, branded template, etc.
If platform and duration are unspecified, ask before proceeding. These determine mode and tool selection.
2. Select Video Mode
Determine which production mode fits the brief:
| Mode | When to use | Output |
|---|---|---|
| Remotion | Motion graphics, text reveals, animated charts/data viz, branded countdown timers, logo animations, kinetic typography — no real footage needed | Remotion project scaffold (.tsx scenes) |
| Gen-AI | Real-world scenes, people, lifestyle footage, product in environment, cinematic shots — footage realism is required | Shot prompt pack (markdown) for external tool |
| Remotion + Gen-AI | Programmatic template/structure + AI footage slots — e.g., branded reel with AI product shots embedded, data story with cinematic B-roll, social ad with animated headline over AI background video | Both: Remotion scaffold with <Video> placeholders + Gen-AI prompt pack |
State the chosen mode and a one-sentence reason.
Mode signals:
- "animation", "motion graphic", "chart", "data", "kinetic", "reveal", "timer", "loop", "template" → Remotion
- "cinematic", "lifestyle", "people", "scene", "product shot", "realistic" → Gen-AI
- "branded + footage", "AI clips inside template", "animated overlay on video" → Remotion + Gen-AI
3. Define Shot / Scene Structure
Break the total duration into scenes (Remotion) or shots (Gen-AI). Standard rule: 3–8 seconds per unit.
Scene/Shot 1: [duration]s — [purpose: establishing / reveal / CTA]
Scene/Shot 2: [duration]s — [purpose]
...
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.
- 8d ago First seen · 149 lines · 56 tokens per session scan A ed558787db11
gen-video is a command published in the GitHub repository Adityaraj0421/naksha-studio (316 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 1,475 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 2026-08-30.
Other commands, from other repositories
morph-deck
Generate launch-video-style React presentations with shared-layout (FLIP) morph transitions. Subcommands: new, iterate, render, pptx, video, export. Use when the user asks for a pitch deck, launch video, demo storyboard, or any cinematic presentation.
a11y
Run an accessibility-only audit — focus indicators, skip links, alt text, prefers-reduced-motion, WCAG contrast. Scoped variant of /ui-ux-suite:audit.
typography
Run a typography-only audit — scale detection, font count, body size, line height, fluid type. Scoped variant of /ui-ux-suite:audit.
healthcare-ux-specialist
Use when designing clinical or patient-facing interfaces. Clinical workflows, displaying sensitive patient data, HIPAA considerations in the UI, and medical terminology patients do not speak.
motion-designer
Use when animation feels wrong. Transitions too slow or too bouncy, motion with no purpose, blanket transitions on every property, no reduced-motion support, or animation that drops frames.
spacing-layout-specialist
Use when spacing looks arbitrary. Padding and margins off any scale, inconsistent gaps between the same components, no grid underneath, or a layout that needs a denser mode.