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imagegen

imagegen is a skill for Claude Code, Codex from jvm/pi-mono. It costs 113 tokens per session (5,507 once invoked), scanned A, original, MIT.

An image-generation tool for creating new bitmap images or changing existing ones. Bitmap images are made from individual pixels, such as photos, illustrations, mockups, and textures.

In plain words
What is it for?
Use it to create or edit website assets, game graphics, UI mockups, product mockups, wireframes, logos, photorealistic images, and infographics.
Why use it?
It helps when a project needs visual assets that would otherwise have to be made by hand or sourced elsewhere. It can use local or recently provided images as references.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

not rated 21 5d ago A scan 113 tokens original MIT
View the source file jvm/pi-mono
Install

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.

agentmods
npx agentmods add skills/jvm/pi-mono/imagegen
Any agent
npx skills add jvm/pi-mono --skill imagegen
Clone the repo
git clone --depth 1 https://github.com/jvm/pi-mono

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for imagegen

README.md
[![agentmods](https://agentmods.dev/badge/skills/jvm/pi-mono/imagegen.svg)](https://agentmods.dev/skills/jvm/pi-mono/imagegen)
Your own site
<a href="https://agentmods.dev/skills/jvm/pi-mono/imagegen"><img src="https://agentmods.dev/badge/skills/jvm/pi-mono/imagegen.svg" alt="Measured on agentmods" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,507 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00113 $0.05507
Opus 5 $0.00056 $0.02753
Sonnet 5 $0.00023 $0.01101
Haiku 4.5 $0.00011 $0.00551

Measured 6d ago against content hash efb567132d87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

imagegen 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/image_gen.py, scripts/remove_chroma_key.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

packages/pi-codex-image-gen/skills/imagegen/SKILL.md · 363 lines

How it starts

The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Image Generation Skill

Adapted from OpenAI Codex's imagegen skill for Pi. Original source: https://github.com/openai/codex/tree/main/codex-rs/skills/src/assets/samples/imagegen Required Pi modifications: use Pi's codex_generate_image tool name, Pi artifact paths, and the bundled helper path.

Generates or edits images for the current project (for example website assets, game assets, UI mockups, product mockups, wireframes, logo design, photorealistic images, or infographics).

Top-level modes and rules

This skill has exactly two top-level modes:

  • Default Pi tool mode (preferred): Pi codex_generate_image tool for new image generation, edits using up to five local or recent conversation images, reference variants, and simple transparent-image requests. Does not require OPENAI_API_KEY.
  • Fallback CLI mode: scripts/image_gen.py CLI. Use when the user explicitly asks for the CLI/API/model path, or after the user explicitly confirms a true model-native transparency fallback with gpt-image-1.5. Requires OPENAI_API_KEY.

Within CLI fallback, the CLI exposes three subcommands:

  • generate
  • edit
  • generate-batch

Rules:

  • Use the Pi codex_generate_image tool by default for new image generation requests.
  • Use referencedImagePaths for edits when every target has a local path. Use numLastImagesToInclude only when a target is available solely in recent conversation history. Never provide both selectors. Masks and advanced CLI-only controls still require confirmed CLI fallback.
  • Do not switch to CLI fallback for ordinary generation quality, size, or output file-path control.
  • If the user explicitly asks for a transparent image/background, stay on Pi codex_generate_image first: prompt for a flat removable chroma-key background, then remove it locally with the installed helper at scripts/remove_chroma_key.py.
  • Never silently switch from Pi codex_generate_image or CLI gpt-image-2 to CLI gpt-image-1.5. Treat this as a model/path downgrade and ask the user before doing it, unless the user has already explicitly requested gpt-image-1.5, scripts/image_gen.py, or CLI fallback.
  • If a transparent request appears too complex for clean chroma-key removal, asks for true/native transparency, or local removal fails validation, explain that true transparency requires CLI gpt-image-1.5 --background transparent --output-format png because gpt-image-2 does not support background=transparent, then ask whether to proceed. Run the CLI fallback only after the user confirms.
  • The word batch by itself does not mean CLI fallback. If the user asks for many assets or says to batch-generate assets without explicitly asking for CLI/API/model controls, stay on the Pi tool path and issue one Pi tool call per requested asset or variant.
  • If the Pi tool fails or is unavailable, tell the user the CLI fallback exists and that it requires OPENAI_API_KEY. Proceed only if the user explicitly asks for that fallback.
  • If the user explicitly asks for CLI mode, use the bundled scripts/image_gen.py workflow. Do not create one-off SDK runners.
  • Never modify scripts/image_gen.py. If something is missing, ask the user before doing anything else.

Read the full file on GitHub · 363 lines

Files

What ships with it

10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 6d ago First seen · 363 lines · 113 tokens per session scan A efb567132d87

Subscribe to this mod's changes

imagegen is a skill published in the GitHub repository jvm/pi-mono (21 stars, last pushed 5d ago), licensed MIT. It adds 113 tokens to every session and 5,507 once invoked, about $0.0006 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.

Creative and media
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