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 TheJacksonCode · Claude Skill · ★ 74
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Agent-Architecture safe to install? View the security audit →
Agent Architecture Designer Visual multi-agent system designer for Claude Code - built to help developers understand how each agent thinks, what it does, and how teams collaborate. Why this exists Agent Architecture Designer is primarily an educational and developmental tool. It is not a production orchestrator - it is a place where you can slow down and study multi-agent systems the way you would study a complex machine: one moving part at a time. The goal is that after using it, you should be able to: Understand what every single agent actually does - its role, in
| Stars | 74 |
| Forks | 10 |
| Language | HTML |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 60.9428774461723/100 |
| Last Updated | 2026-09-15 |
| Created | 2026-04-07 |
| Platforms | claude-code |
| Est. Tokens | ~19k |
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Agent-Architecture is Visual multi-agent system designer for Claude Code. 28 agents, Five Minds Protocol, HITL gates, Live Simulation. Zero dependencies, single HTML file.. It is categorized as a Claude Skill with 74 GitHub stars.
Agent-Architecture is primarily written in HTML. It covers topics such as agent-orchestration, ai-agents, anthropic.
You can find installation instructions and usage details in the Agent-Architecture GitHub repository at github.com/TheJacksonCode/Agent-Architecture. The project has 74 stars and 10 forks, indicating an active community.
Agent-Architecture is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Agent-Architecture on Agent Skills Hub include agent-skills, orchestkit, auto-company. 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: