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.
curl -O https://raw.githubusercontent.com/Modellix/modellix-agent-canvas/main/.agents/skills/modellix-agent-canvas-image-gen/SKILL.mdgit clone --depth 1 https://github.com/Modellix/modellix-agent-canvasWrote 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/modellix/modellix-agent-canvas/modellix-agent-canvas-image-gen)<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.
<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>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 | $0.00044 | $0.00455 |
| Opus 5 | $0.00022 | $0.00228 |
| Sonnet 5 | $0.00009 | $0.00091 |
| Haiku 4.5 | $0.00004 | $0.00046 |
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.
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.
- Call
get_modellix_canvas_statuswithrefresh: 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. Usestart_modellix_api_key_setuponly as recovery when the host cannot display or open Canvas. - Read
get_canvas_contextwhen page, selection, or an AI image holder matters. - Call
prepare_modellix_image_taskwith: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
- 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.
- Obtain explicit user confirmation. Then submit the exact same intent with a fresh stable
operationId, returnedrouteFingerprint, andconfirmedPaidSubmission: true. - Poll each returned task with
get_modellix_image_task. Finalize every successful task immediately withfinalize_modellix_image_taskso the image is stored in the project. - Never retry
SUBMISSION_UNKNOWN. Uselist_modellix_canvas_tasksand 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.
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.
- 11d ago First seen · 29 lines · 44 tokens per session scan A c23ea4ac39cc
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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