image-canvas

image-canvas is a skill for Claude Code, Codex from Orkas-AI/Orkas. It costs 3 tokens per session (822 once invoked), scanned A, original, MIT.

A planning guide for images made from several meaningful visual areas, such as a main subject, supporting elements, text, and decoration.

In plain words
What is it for?
Use it for posters, banners, diagrams, or other multi-region compositions with layout constraints. It is unnecessary for a simple image with one visual region.
Why use it?
It records each area’s position, depth, purpose, details, and references so the image has a controlled layout and reading order.

Skill for Claude CodeCodex

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

Good fit Use it for posters, banners, diagrams, or other multi-region compositions with layout constraints. It is unnecessary for a simple image with one visual region.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/orkas-ai/orkas/image-canvas
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 · 1,848 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-canvas
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-canvas

README.md
[![agentmods](https://agentmods.dev/badge/skills/orkas-ai/orkas/image-canvas/github.svg)](https://agentmods.dev/skills/orkas-ai/orkas/image-canvas)
Your own site
<a href="https://agentmods.dev/skills/orkas-ai/orkas/image-canvas"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/image-canvas/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 image-canvas

Your own site · 80×15
<a href="https://agentmods.dev/skills/orkas-ai/orkas/image-canvas"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/image-canvas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 3 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 822 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 $0.00003 $0.00822
Opus 5 $0.00002 $0.00411
Sonnet 5 $0.00001 $0.00164
Haiku 4.5 $0.00000 $0.00082

Measured 10d ago against content hash a4df7a515745, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

image-canvas 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 10d 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.

resources/builtin/marketplace/agents/814b61b027f0/skills/image-canvas/SKILL.md · 33 lines

How it starts

The opening of the file, as written. The whole thing — 33 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Image Canvas

Read this private ImageStudio skill only after route lock when the result has multiple meaningful visual regions, an explicit reading order, exact layout constraints, or references bound to regions. Skip it for a simple single-region image. If art direction is also needed, read image-craft first. This adapts the Canvas-as-intermediate-representation method popularized by Omost into Orkas's provider-neutral manifest; it does not import an Omost model runtime.

Canvas contract

Populate the canonical image-manifest.json template's visual_plan object when the image has more than one meaningful visual zone:

  • global_description: the complete visual thesis in one concrete sentence.
  • reading_order: every region id in intended eye-travel order.
  • regions: stable objects whose normalized coordinates are nested under regions[].bounds as {x,y,width,height}; never place x, y, width, or height directly on a region. Each region also has background, midground, or foreground depth; exactly one supported role (hero, support, copy, decoration, or background); a visible description; detail_prompts as a string array; and reference_ids as a string array. Use empty arrays when a region has no detail prompts or references.

Use as few regions as possible. Regions describe visible image logic, not implementation components. Reserve meaningful negative space deliberately and prevent hero, copy, and support regions from competing for the same focal priority.

For COMPOSE and HYBRID, map every region to at least one HTML/SVG element with data-image-region="<id>". ImageStudio blocks snapshots when the plan and DOM diverge. For GENERATE and EDIT, compile the global description and region details into the provider prompt, preserving the same reading order and crop.

Reference contract

Before declaring individual references, write reference_intent:{mode:"reproduce|edit|guide",basis:"user|inferred",instructions:[],minimum_score}. Explicit user constraints always win; only an unspecified reference defaults to guide with inferred basis. Then declare each project-local reference with a stable id, one role (style, identity, composition, structure, content, mask, or edit_source), influence strength from 0 to 1, required state, attributes to preserve, attributes that may change, and target region ids. Reproduce uses a floor of at least 85; edit uses at least 80 and a required edit source with explicit instructions and non-empty change boundaries.

Read the full file on GitHub · 33 lines

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. 10d ago First seen · 33 lines · 3 tokens per session scan A a4df7a515745

Subscribe to this mod's changes

image-canvas is a skill published in the GitHub repository Orkas-AI/Orkas (1,848 stars, last pushed yesterday), licensed MIT. It adds 3 tokens to every session and 822 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.

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