imagine

imagine is a skill for Claude Code, Codex from tallesborges/zdx. It costs 56 tokens per session (3,934 once invoked), scanned A, original, MIT.

An image-generation and editing tool that creates pictures from text or changes existing images, including combining several images.

In plain words
What is it for?
It helps create new visuals, edit parts of images, extend their edges, change their style, and combine multiple source images.
Why use it?
It removes the need to switch between separate image tools or manually perform common edits.

Skill for Claude CodeCodex

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

Good fit It helps create new visuals, edit parts of images, extend their edges, change their style, and combine multiple source images.

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Install with agentmods
npx agentmods add skills/tallesborges/zdx/imagine
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.

Any agent
npx skills add tallesborges/zdx --skill imagine
Clone the repo
git clone --depth 1 https://github.com/tallesborges/zdx

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 imagine

README.md
[![agentmods](https://agentmods.dev/badge/skills/tallesborges/zdx/imagine/github.svg)](https://agentmods.dev/skills/tallesborges/zdx/imagine)
Your own site
<a href="https://agentmods.dev/skills/tallesborges/zdx/imagine"><img src="https://agentmods.dev/badge/skills/tallesborges/zdx/imagine/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.

agentmods 80×15 button for imagine

Your own site · 80×15
<a href="https://agentmods.dev/skills/tallesborges/zdx/imagine"><img src="https://agentmods.dev/badge/skills/tallesborges/zdx/imagine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,934 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00056 $0.03934
Opus 5.5 $0.00022 $0.01574
Sonnet 5.5 $0.00011 $0.00787
Haiku 4.5 $0.00006 $0.00393

Measured 28d ago against content hash f3752b3cdf8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

imagine 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 28d 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.

crates/zdx-assets/bundled_skills/imagine/SKILL.md · 308 lines

How it starts

The opening of the file, as written. The whole thing — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Imagine – Image Generation & Editing via zdx imagine

Generate images from text prompts or edit existing images using Gemini, OpenAI, or Alibaba (Qwen-Image) image models. Supports text-to-image generation, image editing (inpainting, outpainting, style transfer), and multi-image composition.

CLI reference

zdx imagine --prompt <PROMPT> [OPTIONS]

Options:
  -p, --prompt <PROMPT>   Text prompt (required)
  -s, --source <IMAGE>    Source image for editing (repeatable for multi-image)
  -o, --out <PATH>        Output path — written exactly as given (default: $ZDX_HOME/artifacts/image-<timestamp>.<ext>)
      --model <MODEL>     Model override (default: gemini:gemini-3.1-flash-image-preview)
      --aspect <RATIO>    Aspect ratio (Gemini only; see table below)
      --size <SIZE>       512px | 1K (default) | 2K | 4K

Output: prints the exact saved file path(s) to stdout. --out is honored literally; the model picks the image format (often JPEG for Gemini), so a file named .png may actually hold JPEG bytes. That is fine — zdx reads images by content, not extension. Use --out to control the path and always view/attach the printed path.

When running inside zdx (TUI, bot, or CLI), $ZDX_ARTIFACT_DIR is the preferred output location. Pass it via --out:

zdx imagine -p "..." --out "$ZDX_ARTIFACT_DIR/descriptive-name.png"

If no --out is given, images default to $ZDX_HOME/artifacts/.

Provider guidance

  • Default: If you do not pass --model, zdx imagine uses gemini:gemini-3.1-flash-image-preview.
  • OpenAI support: zdx imagine also supports both openai:gpt-image-2 and openai-codex:gpt-image-2.
  • Preferred OpenAI path: When using OpenAI, prefer openai-codex:gpt-image-2 unless the user explicitly asks for plain openai:gpt-image-2 or for GPT Image 2.5.
  • GPT Image 2.5 (explicit selection, API key): openai:gpt-image-2.5-flare (fast, the default choice for most work) and openai:gpt-image-2.5-sunburst (higher precision for detailed edits, slower). Dated snapshots such as openai:gpt-image-2.5-flare-2026-09-08 also work. Use them only when the user asks for GPT Image 2.5 or the newest OpenAI image model. Requires OPENAI_API_KEY.
  • Codex is server-managed: openai-codex:* image requests run on the ChatGPT subscription, and the backend picks the image engine, size, and quality itself. Probes showed it ignores the requested image model, --size, and quality, and it never reports which model ran. openai-codex:gpt-image-2.5-* is accepted but not honored as a selection; zdx imagine prints a warning on stderr. Do not tell the user Codex gave them Image 2 or Image 2.5 specifically. For an explicit variant, use openai:gpt-image-2.5-flare or -sunburst.
  • Alibaba (Qwen-Image) support: zdx imagine supports alibaba:qwen-image-3.0-pro, alibaba:qwen-image-3.0, and alibaba:qwen-image-2.0-pro — combined text-to-image + editing models on Alibaba DashScope. Requires ALIBABA_API_KEY. Use them when the user asks for Qwen/Alibaba image generation.
  • Preferred Alibaba path: Use alibaba:qwen-image-3.0-pro. It is the strongest of the three at dense layouts, small text (~10px), and multilingual typography. Fall back to alibaba:qwen-image-3.0 for cheaper/faster runs, and to alibaba:qwen-image-2.0-pro only when explicitly asked.
  • Gemini vs OpenAI/Alibaba: --aspect currently works with Gemini only; OpenAI, OpenAI Codex, and Alibaba require --size instead.
  • OpenAI size support: openai: passes 1K, 2K, or 4K to the image tool (only 1K was checked live). openai-codex: accepts the flag but the backend chooses its own output size (e.g. 1536x1024 for --size 1K). 512px is Gemini-only.
  • Alibaba size support: All Alibaba Qwen-Image models support 512px, 1K, and 2K (not 4K).

Read the full file on GitHub · 308 lines

Files

What ships with it

1 file 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. 28d ago Changed · +7 lines f3752b3cdf8e
  2. 1mo ago First seen · 301 lines · 56 tokens per session scan A 3ad7f9eaebef

Subscribe to this mod's changes

imagine is a skill published in the GitHub repository tallesborges/zdx (20 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 3,934 once invoked, about $0.0002 per session on Opus 5.5. 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.

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