gpt-image-canvas — security grade SAFE, quality 69/100

Security audit verdict: SAFE · quality 69/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by mrslimslim · Agent Tool · ★ 723

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is gpt-image-canvas safe to install? View the security audit →

About gpt-image-canvas

GPT Image Canvas English | 简体中文 Local professional AI canvas built with tldraw, Hono, SQLite, and GPT Image 2. Version adds a credential-aware homepage, Codex device login fallback, and the existing Tencent Cloud COS backup / OpenAI-compatible image response support. Preview Highlights AI canvas powered by tldraw with prompt-to-image and reference-image generation. Local-first storage for generated images and project snapshots. Optional Tencent Cloud COS backup for newly generated images. Generation history with locate, rerun, download, and cloud upload status. OpenAI-compatible image endpoint support, including PackyCode / style responses. Credential-aware routes with a global provider configuration dialog, API-key priority, local API storage, and optional Codex login fallback. Requirements Node.js 22 or newer. pnpm 9.14.2. The package manager is pinned in ; Corepack can activate it with . Docker Desktop or a compatible Docker Engine for the Docker workflow. An OpenAI API key with access to , or a Codex login completed from the app, for live generation. The app can boot without credentials and will show the homepage until a provider is available.

aiai-toolsaiimagegenerator

Quick Facts

Stars723
Forks98
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score68.5232375579899/100
Open Issues6
Last Updated2026-08-27
Created2026-04-28
Platformsnode
Est. Tokens~17k

Compatible Skills

These tools work well together with gpt-image-canvas for enhanced workflows:

  • ai-first-toolkit — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (55%)
  • termcanvas — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (54%)
  • threadlens — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)

gpt-image-canvas alternative? Top 6 similar tools

Looking for a gpt-image-canvas alternative? If you're comparing gpt-image-canvas with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • toolsdk-mcp-registry by toolsdk-ai · ⭐ 187

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Frequently Asked Questions

What is gpt-image-canvas?

gpt-image-canvas is Local professional AI canvas built with tldraw.. It is categorized as a Agent Tool with 723 GitHub stars.

What programming language is gpt-image-canvas written in?

gpt-image-canvas is primarily written in TypeScript. It covers topics such as ai, ai-tools, aiimagegenerator.

How do I install or use gpt-image-canvas?

You can find installation instructions and usage details in the gpt-image-canvas GitHub repository at github.com/mrslimslim/gpt-image-canvas. The project has 723 stars and 98 forks, indicating an active community.

What license does gpt-image-canvas use?

gpt-image-canvas is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to gpt-image-canvas?

The top alternatives to gpt-image-canvas on Agent Skills Hub include UnrealClaude, octocode-mcp, dexto. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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