modellix-agent-canvas: Skill for Claude Code

.agents/skills/modellix-agent-canvas-image-gen/SKILL.md

modellix-agent-canvas-image-gen is a skill for Claude Code from Modellix/modellix-agent-canvas. It costs 44 tokens per session (455 once invoked), scanned A, original, MIT.

A skill for generating one to four images through Modellix and placing them in Modellix Agent Canvas, a workspace for arranging design objects. It includes credential checks, task preparation, payment confirmation, polling, recovery, and insertion.

In plain words
What is it for?
Use it to create images from a business prompt, optionally target an image holder, choose output settings, confirm the cost, and insert the results into an active Canvas page.
Why use it?
It provides a defined process for creating images while handling missing credentials, pricing confirmation, failed operations, and the chosen Canvas location.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: installed under .agents/ (shared by several agents).

This is Modellix/modellix-agent-canvas's own configuration. It tells Claude Code how to work on modellix-agent-canvas itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything modellix-agent-canvas configures →

Part of the modellix-agent-canvas plugin — 3 skills, 2 MCP servers shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to Modellix/modellix-agent-canvas. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Modellix/modellix-agent-canvas/main/.agents/skills/modellix-agent-canvas-image-gen/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Modellix/modellix-agent-canvas

Made for: Claude Code.

Or install modellix-agent-canvas, the plugin that ships this one along with the rest of its 3 skills, 2 MCP servers.

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.

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README.md
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Your own site
<a href="https://agentmods.dev/skills/modellix/modellix-agent-canvas/modellix-agent-canvas-image-gen"><img src="https://agentmods.dev/badge/skills/modellix/modellix-agent-canvas/modellix-agent-canvas-image-gen/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 modellix-agent-canvas-image-gen

Your own site · 80×15
<a href="https://agentmods.dev/skills/modellix/modellix-agent-canvas/modellix-agent-canvas-image-gen"><img src="https://agentmods.dev/badge/skills/modellix/modellix-agent-canvas/modellix-agent-canvas-image-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 455 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 $0.00044 $0.00455
Opus 5 $0.00022 $0.00228
Sonnet 5 $0.00009 $0.00091
Haiku 4.5 $0.00004 $0.00046

Measured 11d ago against content hash c23ea4ac39cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

modellix-agent-canvas-image-gen 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 11d 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.

.agents/skills/modellix-agent-canvas-image-gen/SKILL.md · 29 lines

What it actually says

Generate images in Modellix Agent Canvas

Use the Modellix Canvas MCP task tools. Do not choose a model slug; describe the business requirement and use the returned route.

  1. Call get_modellix_canvas_status with refresh: true. If the credential is missing or invalid, open Canvas and direct the user to its embedded, isolated credential field. Never ask for the Key in chat or pass it as a tool argument. Use start_modellix_api_key_setup only as recovery when the host cannot display or open Canvas.
  2. Read get_canvas_context when page, selection, or an AI image holder matters.
  3. Call prepare_modellix_image_task with:
    • mode: generate
    • a non-empty prompt
    • no source object or asset IDs
    • count from 1 through 4
    • requested size, fit, quality, background, and fidelity
    • the active pageId
    • an optional image-holder targetObjectId
  4. Prepare is non-paying. Show the actual model display name, route reason, requested and effective specifications, every warning, output count, unit/total estimate, currency, and confirmation expiry.
  5. Obtain explicit user confirmation. Then submit the exact same intent with a fresh stable operationId, returned routeFingerprint, and confirmedPaidSubmission: true.
  6. Poll each returned task with get_modellix_image_task. Finalize every successful task immediately with finalize_modellix_image_task so the image is stored in the project.
  7. Never retry SUBMISSION_UNKNOWN. Use list_modellix_canvas_tasks and query the recorded task IDs.

Finalization replaces a selected AI image holder for the first result. Without a holder, it keeps existing content and places results in a stable grid near the confirmed viewport position.

Use modellix-agent-canvas-image-edit when one or more reference images are involved.

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. 11d ago First seen · 29 lines · 44 tokens per session scan A c23ea4ac39cc

Subscribe to this mod's changes

modellix-agent-canvas-image-gen is a skill published in the GitHub repository Modellix/modellix-agent-canvas (0 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 455 once invoked, about $0.0002 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 2026-08-31.

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