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/imaginpro/imaginepro-claude-pluginWrote 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/imaginpro/imaginepro-claude-plugin/video-flow)<a href="https://agentmods.dev/commands/imaginpro/imaginepro-claude-plugin/video-flow"><img src="https://agentmods.dev/badge/commands/imaginpro/imaginepro-claude-plugin/video-flow.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 | $0.00000 | $0.01839 |
| Opus 5 | $0.00000 | $0.00920 |
| Sonnet 5 | $0.00000 | $0.00368 |
| Haiku 4.5 | $0.00000 | $0.00184 |
Grade A, and why
video-flow 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 6d 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 — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create a complete video animation from a description - automates the full workflow from concept to finished video.
This command handles the entire video generation pipeline: concept analysis, start frame generation, compatible end frame generation, and smooth video transition creation.
Usage
/video-flow [description of video transformation]
What It Does
/video-flow automates the complete video creation process:
- Analyzes your video concept
- Generates optimized start frame
- Generates compatible end frame (matching composition, lighting, style)
- Creates smooth video transition
- Returns video URL with message ID
This saves you from manually:
- Generating separate frames
- Ensuring frame compatibility
- Managing multiple message IDs
- Coordinating the complete workflow
Examples
Product Transformations
/video-flow smartphone transforming from off to glowing with colorful display
/video-flow wireless earbuds emerging from premium charging case
/video-flow plain laptop to high-tech gaming laptop with RGB lighting
Environmental Changes
/video-flow city skyline transitioning from day to night with lights turning on
/video-flow mountain landscape changing from summer to winter
/video-flow beach scene from sunny afternoon to beautiful sunset
Abstract Animations
/video-flow geometric shapes morphing from simple circle to complex flower pattern
/video-flow minimalist logo expanding into full brand lockup
/video-flow abstract waves flowing from calm to energetic motion
Brand & Marketing
/video-flow brand logo revealing from dark minimalist to vibrant colored version
/video-flow product before and after transformation showing improvement
/video-flow empty workspace to productive organized home office
App Animations
/video-flow meditation app loading lotus flower blooming open
/video-flow fitness app progress bar filling with energy and momentum
/video-flow task completion checkmark appearing with celebration effect
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.
- 6d ago First seen · 303 lines · 0 tokens per session scan A 9544e15c405c
video-flow is a command published in the GitHub repository imaginpro/imaginepro-claude-plugin (5 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,839 tokens. 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 2026-08-31.
Other commands, from other repositories
make-reel
Generate a cinematic vertical reel via the Poppify MCP — photo-led or topic-led. Uses the poppify-build-reel skill for the canonical flow.
verify-render
Download a rendered Poppify reel, run ffprobe + frame extract, surface a verdict on whether the render matches what was requested.
troubleshoot
Diagnose a Poppify reel that came out wrong. Walks the symptom → root cause → action decision tree.
imagegen
Generate an image (or a coherent set of images) from a prompt — /imagegen " ". Or run /imagegen setup to verify the install. Routes through the imagegen MCP server (Codex CLI / gpt-image).
edit
Edit an existing image at a given path with a natural-language instruction. Routes through Codex CLI's gpt-image edit tool.
img
Alias of /imagegen. Generate an image from a prompt and save it under the workspace's standard image directory.