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/colin-automates/codex-imagegen--claude-code/imggit clone --depth 1 https://github.com/colin-automates/Codex-ImageGen--Claude-CodeWrote 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/colin-automates/codex-imagegen--claude-code/img)<a href="https://agentmods.dev/commands/colin-automates/codex-imagegen--claude-code/img"><img src="https://agentmods.dev/badge/commands/colin-automates/codex-imagegen--claude-code/img.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 | $0.00023 | $0.00371 |
| Opus 5 | $0.00012 | $0.00186 |
| Sonnet 5 | $0.00005 | $0.00074 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
img 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 3d 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.
What it actually says
This is an alias for /imagegen. Follow the exact same dispatch + generation logic as commands/imagegen.md:
The user invoked /imagegen:img (alias for /imagegen) with the following arguments:
$ARGUMENTS
Trim $ARGUMENTS; strip one layer of surrounding "…" or '…' quotes. If the result is empty, ask once: "What should I generate?" and stop. Otherwise treat it as an image prompt and execute the generation steps from commands/imagegen.md Step 3:
- Pick
save_pathper the SKILL's defaults table (./public/images/→./public/→./assets/→./images/→./generated/<timestamp>-<slug>.png). - Pick
size:1536x1024for hero/banner/cover/og/wide/landscape;1024x1536for portrait/vertical/tall; otherwise1024x1024. - Pick
quality:highfor hero/final/print/brand; otherwisemedium. - Pick
style:photorealif photo/photograph/realistic appear; otherwiseauto. - Expand the prompt using the SKILL's templates. Do not show the expansion to the user.
- Call
mcp__plugin_imagegen_imagegen__generate_image. - On success: 1–2-sentence summary with path + dimensions.
- On failure: surface the
hintfield, then a one-sentence next step.
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.
- 3d ago First seen · 24 lines · 23 tokens per session scan A 0ddef3207fc5
img is a command published in the GitHub repository colin-automates/Codex-ImageGen--Claude-Code (2 stars, last pushed 4mo ago), licensed MIT. It adds 23 tokens to every session and 371 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 2026-08-31.
Other commands, from other repositories
generate-image
Generate or edit images using AI (Gemini/OpenAI/xAI/OpenRouter).
imagine-guide
Get interactive guidance on using ImaginePro effectively in Claude Code.
video-flow
Create a complete video animation from a description - automates the full workflow from concept to finished video.
vary-it
Create intelligent variations and refinements of an existing ImaginePro generated image.
upscale-it
Upscale an ImaginePro generated image to higher resolution and enhanced quality.
imagine-pro
Generate an AI image with ImaginePro using best practices and intelligent guidance.