Borrowing it
Nothing to install: this file belongs to jhartquist/claude-remotion-kickstart. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jhartquist/claude-remotion-kickstart/main/.claude/commands/generate-image.mdgit clone --depth 1 https://github.com/jhartquist/claude-remotion-kickstartWrote 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/jhartquist/claude-remotion-kickstart/generate-image)<a href="https://agentmods.dev/commands/jhartquist/claude-remotion-kickstart/generate-image"><img src="https://agentmods.dev/badge/commands/jhartquist/claude-remotion-kickstart/generate-image/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/commands/jhartquist/claude-remotion-kickstart/generate-image"><img src="https://agentmods.dev/badge/commands/jhartquist/claude-remotion-kickstart/generate-image.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 | $0.00009 | $0.00627 |
| Opus 5 | $0.00005 | $0.00313 |
| Sonnet 5 | $0.00002 | $0.00125 |
| Haiku 4.5 | $0.00001 | $0.00063 |
Grade A, and why
generate-image 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 9d 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.
allowed-tools: mcp__replicate__*, AskUserQuestion, Bash(curl*) How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
context
This command uses the Replicate MCP server to generate images with Google's Nano Banana Pro model.
The model supports:
- Text-to-image generation
- Image-to-image editing
- 16:9, 1:1, 9:16, 4:3, 3:4 aspect ratios
- 2K, 4K, 8K resolutions
- PNG or JPEG output
task
Generate an image using Nano Banana Pro with the prompt provided in $1:
-
Create the prediction:
- Use model:
google/nano-banana-pro - Version ID:
944891d151f5463d9e6eca5a6942f04053e664853dca30c21864021b046fea1d - Default parameters:
aspect_ratio: "16:9"resolution: "2K"output_format: "png"safety_filter_level: "block_only_high"
- Use
Prefer: waitto wait for completion
- Use model:
-
Call the Replicate API:
mcp__replicate__create_predictions with: - version: google/nano-banana-pro:944891d151f5463d9e6eca5a6942f04053e664853dca30c21864021b046fea1d - input: {"prompt": "{user_prompt}", "aspect_ratio": "16:9", "resolution": "2K", "output_format": "png", "safety_filter_level": "block_only_high"} - Prefer: wait - jq_filter: {id, status, output, error} -
Display results:
- Show the image URL
- Show the prediction ID
- Summarize key features of the generated image
-
Optionally download:
- Ask the user if they want to download the image to the
public/directory - If yes, ask for a filename (suggest a descriptive name based on the prompt)
- Download using curl:
curl -o public/{filename}.png {image_url} - Confirm the download location
- Ask the user if they want to download the image to the
examples
Basic usage:
/generate-image a photorealistic software engineer in a cozy studio
With specific style:
/generate-image a minimalist tech workspace with warm lighting, 70s aesthetic
notes
- The prompt should be descriptive and include style, lighting, and composition details
- For talking head videos, specify "centered frame, medium close-up"
- For reference images, mention "photorealistic" or specific photography styles
- Images are saved to Replicate's CDN and accessible via HTTPS URLs
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.
- 9d ago First seen · 70 lines · 9 tokens per session scan A f81b648a3fc6
generate-image is a command published in the GitHub repository jhartquist/claude-remotion-kickstart (116 stars, last pushed 9mo ago), licensed MIT. It adds 9 tokens to every session and 627 once invoked, about $0.0000 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 2026-08-30.
Other commands, from other repositories
video
Video projects - list, resume, or create new.
generate-voiceover
Generate AI voiceover from script.
scene-review
Scene-by-scene review in Remotion Studio (before voiceover).
design
Focused design session for improving video scene visuals using the frontend-design skill.
publish
Publish a finished video to YouTube.
template
List available templates and their features.