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 agentmods add commands/aegntic/cldcde/d3mo-generatorgit clone --depth 1 https://github.com/aegntic/cldcdeWrote 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/aegntic/cldcde/d3mo-generator)<a href="https://agentmods.dev/commands/aegntic/cldcde/d3mo-generator"><img src="https://agentmods.dev/badge/commands/aegntic/cldcde/d3mo-generator.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 | $0.00028 | $0.03551 |
| Opus 5 | $0.00014 | $0.01775 |
| Sonnet 5 | $0.00006 | $0.00710 |
| Haiku 4.5 | $0.00003 | $0.00355 |
Grade A, and why
d3mo-generator 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 4d 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 — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.
D3MO Video Generator by ae.ltd
ᵖᵒʷᵉʳᵉᵈ ᵇʸ ᵃᵉᵍⁿᵗᶦᶜ ᵉᶜᵒˢʸˢᵗᵉᵐˢ ʳᵘᵗʰˡᵉˢˢˡʸ ᵈᵉᵛᵉˡᵒᵖᵉᵈ ᵇʸ ae.ˡᵗᵈ
Professional video production system that transforms Claude into a complete video studio using Remotion and advanced animation techniques. Create stunning demos, tutorials, and marketing content with AI-enhanced production workflows.
Core Capabilities
- Advanced Remotion Engine: Professional-grade TypeScript compositions with type safety
- AI-Enhanced Screen Recording: Intelligent cursor tracking, auto-zoom, and smart highlights
- Multi-Platform Optimization: Native format optimization for YouTube, Instagram, TikTok, LinkedIn
- Professional Post-Processing: Color grading, audio enhancement, subtitle generation
- Template Library: 50+ professional templates across industries and use cases
- Performance Monitoring: GPU acceleration, render time optimization, quality metrics
- Quality Assurance: 10-category automated testing with accessibility compliance
Video Production Templates
Executive Presentations
- Cinematic Openings: Professional brand reveals with dramatic effects
- Data Visualization: Interactive charts, graphs, and animated statistics
- Corporate Storytelling: Narrative-driven presentations with emotional impact
- Boardroom Quality: Professional-grade content suitable for executive audiences
SaaS Platform Demos
- Interactive Screen Recording: Smart cursor tracking with automatic zoom highlights
- Feature Showcases: Step-by-step product demonstrations with smooth transitions
- Browser Chrome Simulation: Authentic browser interface for realistic demos
- Performance Metrics: Real-time performance indicators and success metrics
Marketing Campaigns
- High-Energy Openings: Attention-grabbing intros with dynamic effects
- Value Proposition: Clear benefit communication with visual demonstrations
- Social Proof Integration: Customer testimonials and case study highlights
- Conversion-Focused: Strategic CTAs optimized for viewer action
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.
- 4d ago First seen · 366 lines · 28 tokens per session scan A 808deb691a4d
d3mo-generator is a command published in the GitHub repository aegntic/cldcde (11 stars, last pushed 7d ago), licensed MIT. It adds 28 tokens to every session and 3,551 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.
Other commands, from other repositories
smoke
Deploy a versioned preview, hit smoke endpoints, print a status table.
migrate
Apply pending D1 migrations to local (default) or remote.
scriptwriter-draft
Create a writers' room with a seed prompt and (optionally) contribute the first scene. Co-brainstorm space with signed contributions and a live SSE stream for peers.
scriptwriter-open
Open a REAL RECOGNISE REAL cascade with a peer at depth 1. Signs the canonical bytes locally, pushes the signed turn to the peer's /rrr/turn endpoint, records the cascade in this node's state.
scriptwriter-pair
Discover a peer scriptwriter node's /.well-known/scriptwriter descriptor and send a signed first-contact knock. Confirms the peer is reachable, verifies they speak the protocol, and exchanges greetings.
scriptwriter-status
Print a one-shot snapshot of this scriptwriter node — DID + handle + vibe, every active cascade (with depth + your-turn flag), every local room (with contribution counts). Use when the user wants to "see where they are" in the substrate.