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 timothywarner-org · MCP Server · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-architect safe to install? View the security audit →
Claude Architect Foundations - O'Reilly Live Training Contact: Website YouTube Reference architectures, code examples, and practice scenarios for the Claude Architect role. This 4-
| Stars | 69 |
| Forks | 38 |
| Language | Jupyter Notebook |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.4699486478918/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-14 |
| Created | 2026-03-16 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~21k |
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claude-architect is Study materials, code examples, and practice scenarios for Anthropic's Claude Certified Architect: Foundations (CCA-F) certification exam. Covers all five exam domains: agentic architecture, MCP integ. It is categorized as a MCP Server with 69 GitHub stars.
claude-architect is primarily written in Jupyter Notebook. It covers topics such as agent-sdk, agentic-ai, anthropic.
You can find installation instructions and usage details in the claude-architect GitHub repository at github.com/timothywarner-org/claude-architect. The project has 69 stars and 38 forks, indicating an active community.
claude-architect is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-architect on Agent Skills Hub include mcp-server-code-execution-mode, claude-certified-architect, resonant. 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: