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 OpenHands · Agent Tool · ★ 225
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-canvas safe to install? View the security audit →
agent-canvas [!WARNING] This project is in the Beta phase. It may be vibecoded, untested, or out of date. OpenHands takes no responsibility for the code or its support. Learn more. OpenHands is a platform for orchestrating coding agents across different environments. You can: ⌨️ prompt agents manually 🕐 run agents on a schedule ⚡ trigger agents automatically — e.g. from Slack, GitHub, or Datadog. Agents can run anywhere: 🧑💻 on your laptop 🖥️ on a remote virtual machine ☁️ in our hosted cloud 🏢 or inside your company’s infrastructure The same Agent Canvas frontend can swap between each of these environments, so you can see everything in one place. OpenHands works with any agent harness (e.g. Claude Code, Codex) or connect directly to an LLM (e.g. Anthropic, OpenAI, Gemini, Mistral, Minimax, Kimi). If you have questions or feedback, please open a GitHub issue or join the #proj-agent-canvas channel in Slack. Project ownership and support Current status: Beta. Support channel: #proj-agent-canvas. Support level: Best effor
| Stars | 225 |
| Forks | 105 |
| Category | Agent Tool |
| Quality Score | 59.7930514259732/100 |
| Last Updated | 2026-07-27 |
| Created | 2026-04-24 |
| Est. Tokens | ~17k |
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agent-canvas is OpenHands Agent Canvas is a Open Source AI coding platform. Start locally, connect your tools, and automate workflows.. It is categorized as a Agent Tool with 225 GitHub stars.
You can find installation instructions and usage details in the agent-canvas GitHub repository at github.com/OpenHands/agent-canvas. The project has 225 stars and 105 forks, indicating an active community.
The top alternatives to agent-canvas on Agent Skills Hub include awesome-android-agent-skills, agent-skills, claude-code-skill-factory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: