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.
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 skills add Orkas-AI/Orkas --skill image-canvasgit clone --depth 1 https://github.com/Orkas-AI/OrkasWrote 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/skills/orkas-ai/orkas/image-canvas)<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.
<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>- NVIDIA SkillSpector pass
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 5.1 | $0.00003 | $0.00822 |
| Opus 5 | $0.00002 | $0.00411 |
| Sonnet 5 | $0.00001 | $0.00164 |
| Haiku 4.5 | $0.00000 | $0.00082 |
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.
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 underregions[].boundsas{x,y,width,height}; never placex,y,width, orheightdirectly on a region. Each region also hasbackground,midground, orforegrounddepth; exactly one supported role (hero,support,copy,decoration, orbackground); a visible description;detail_promptsas a string array; andreference_idsas 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.
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.
- 10d ago First seen · 33 lines · 3 tokens per session scan A a4df7a515745
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.
Other skills, from other repositories
infographic-builder
Turns textual content into structured infographic formats suitable for reports, presentations, and educational materials.
sn-infographic
An image-making tool that turns supplied content into an infographic, a visual format for explaining information with arranged text and graphics.
skin-creator
Create and apply a two-asset LobsterAI visual skin from the user's style description. Use only when the AI Skin Designer kit supplies the structured skinpack workflow marker; do not use for ordinary theme or image requests.
sn-image-resume
Generates a designed portfolio-resume image from resume content provided in conversation text. Extracts optional style instructions, converts the resume into a fixed portfolio-resume layout prompt, and generates the final image through sn-image-base. Use when user asks to create "resume image", "portfolio resume"…
tutti-ui-system
Use when working with @tutti-os/ui-system components, replacing local UI with shared components, querying component ids or metadata, promoting UI into shared base or business components, or maintaining UI-system storyboard inventory.
canvas-design
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.