image-compose

image-compose is a skill for Claude Code, Codex from Orkas-AI/Orkas. It costs 2 tokens per session (2,110 once invoked), scanned A, original, MIT.

An image-production workflow for creating fixed layouts, diagrams, crops, masks, and text overlays as a small local web project.

In plain words
What is it for?
Use it to assemble image compositions, diagrams, framed designs, cropped visuals, and other deterministic image edits.
Why use it?
It keeps the image brief, layout plan, HTML, manifest, and local assets together so the agent can inspect and reproduce the result consistently.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assemble image compositions, diagrams, framed designs, cropped visuals, and other deterministic image edits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/orkas-ai/orkas/image-compose
About the project

Orkas is a desktop application for commanding a team of AI agents through one chat, with a commander model assigning work to specialist agents in parallel or in sequence. People use it to coordinate research, writing, presentations, and software tasks while keeping files on their computer. The catalogue includes skills for extending the agents available to Orkas.

Orkas-AI/Orkas · 1,776 stars · on GitHub · orkas.ai

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 Orkas-AI/Orkas --skill image-compose
Clone the repo
git clone --depth 1 https://github.com/Orkas-AI/Orkas

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 image-compose

README.md
[![agentmods](https://agentmods.dev/badge/skills/orkas-ai/orkas/image-compose.svg)](https://agentmods.dev/skills/orkas-ai/orkas/image-compose)
Your own site
<a href="https://agentmods.dev/skills/orkas-ai/orkas/image-compose"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/image-compose.svg" alt="Measured on agentmods" height="20"></a>
Per session 2 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,110 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.
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 $0.00002 $0.02110
Opus 5 $0.00001 $0.01055
Sonnet 5 $0.00000 $0.00422
Haiku 4.5 $0.00000 $0.00211

Measured 7d ago against content hash f37b856e8204, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

image-compose 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 7d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/image_asset.js, scripts/structured_visual.js), 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.

resources/builtin/marketplace/agents/814b61b027f0/skills/image-compose/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Image Compose

Read this skill after route lock for COMPOSE, or later in HYBRID, GENERATE, or EDIT only when deterministic copy, layout, diagram, framing, crop, mask, or overlay work is required. Do not preload it during routing. Keep the artifact in one stable directory containing image-manifest.json, index.html, and local assets.

Safe project bootstrap

Create or repair image-manifest.json and index.html with write_file / edit_file. Do not assemble either file through bash, PowerShell, shell redirection, or an inline script: quoting damage can leave a partially written project and shell safety checks can block recovery.

This production skill is the earliest point at which a COMPOSE manifest may be created. Initialize it from the Canonical image-manifest v1 block in image-router; that block is the single structural source, so do not redefine or reconstruct the manifest shape here. Replace every example value with the current brief and planning output. Keep its nesting and value types exactly: brief.purpose and every art_direction field are required by native inspection, and any region coordinates belong under visual_plan.regions[].bounds.

For HYBRID, GENERATE, or EDIT, set the locked lowercase route and the approved nonzero generation budget, then add the route-specific reference and request fields required by image-router / image-generate. After the first write, read the manifest back once and repair it with edit_file if needed before calling project.inspect.

Authoring contract

  • Start from the canvas and art direction in the manifest. Make the first render meaningful without network access or user interaction.
  • Keep decorative rules, strokes, and signature geometry outside every required-text bounding box. After any headline revision, recheck the full phrase at thumbnail size and repair any line or shape that crosses, crowds, masks, or visually splits a glyph or line of copy.
  • Fit every multi-glyph required headline as a complete phrase before snapshot. Automatic wrapping must never leave a line with only one glyph: widen the text box, reduce the type size, or author an intentional balanced <br> before capture. Do not approve a source merely because the DOM contains the exact string; line-by-line rendered legibility is the gate.
  • For a multi-image set, reuse the first passing image's concrete CSS/SVG design decisions—palette variables, type roles, spacing/grid, radii, strokes, icon treatment, material effects, and signature device—in every later member. Change the content and the layout details needed by that content; do not redesign the visual system per image.
  • Use semantic HTML for text and SVG for geometry, diagrams, strokes, charts, patterns, and masks. Use CSS for layout, texture, lighting, and controlled effects.
  • Preserve every required-copy string exactly in visible DOM text. Keep important text out of raster assets.
  • Preserve natural English casing: use sentence case or natural title case for titles and sentence case for body, captions, labels, and CTAs. Keep all caps only when that exact casing is explicit in required user copy or an external brand/source, and then only for one short metadata label, acronym, or code. Never apply text-transform: uppercase through a broad selector or use multiple all-caps text roles; create hierarchy with family, width, weight, scale, color, or spacing.
  • Use only local relative assets inside the project directory. Do not use scripts, CDNs, remote fonts, remote images, iframes, embedded pages, autoplay media, or a local server.
  • In HYBRID, use the generated raster as one deliberate layer and let HTML/SVG own copy, logo placement, framing, and layout.
  • Map every visual_plan.regions[].id to an HTML/SVG element with data-image-region. Treat supplied reference images as local assets: they remain usable in HTML through <img>, CSS backgrounds, SVG <image>, masks, crops, and overlays without a generation call.
  • Declare the fixed canvas on the index.html root with data-preview-layout="fixed-canvas", data-preview-width="<canvas.width>", and data-preview-height="<canvas.height>". The two dimensions must exactly match image-manifest.json; this is the shared HTML viewer contract, not ImageStudio-specific presentation logic.
  • Size for the declared canvas. Avoid hidden overflow, tiny copy, edge collisions, and low-contrast focal content.

Read the full file on GitHub · 81 lines

Files

What ships with it

3 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. 7d ago First seen · 81 lines · 2 tokens per session scan A f37b856e8204

Subscribe to this mod's changes

image-compose is a skill published in the GitHub repository Orkas-AI/Orkas (1,776 stars, last pushed today), licensed MIT. It adds 2 tokens to every session and 2,110 once invoked, about $0.0000 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.