ai-software-architect — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

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 codenamev · MCP Server · ★ 77

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

🔒 Is ai-software-architect safe to install? View the security audit →

About ai-software-architect

AI Software Architect A markdown-based framework for implementing rigorous software architecture practices in any project, with specialized AI assistant integration. Introducing AI Software Architect 🚀 - Watch Video Overview This framework provides a structured approach to: Architecture Documentation - Templates and processes for documenting architectural decisions Architecture Reviews - A multi-perspective review process with specialized reviewers Architecture Recalibration - Process for translating reviews into concrete implementation plans Progress Tracking - Tools for monitoring the implementation of architectural changes AI Integration - Seamless collaboration with AI coding assistants For detailed usage instructions, see USAGE.md. For troubleshooting and advanced usage, see TROUBLESHOOTING.md. Installation Choose the installation method for your AI assistant: Claude Code Installation Claude Code supports three installation methods: Option 1: Claude Code Plugin (Recommended) 🆕 Install via the Claude Code plugin system with automatic updates: bash

adrarchitectural-decision-recordsarchitecturearchitecture-reviewclaude-codeclaude-pluginclaude-skillsdocumentationmcp-serverpragmatic-mode

Quick Facts

Stars77
Forks11
LanguageJavaScript
CategoryMCP Server
Quality Score63.4144560939762/100
Open Issues28
Last Updated2026-09-19
Created2025-05-23
Platformsclaude-code, mcp, node
Est. Tokens~18k

Compatible Skills

These tools work well together with ai-software-architect for enhanced workflows:

  • brooks-lint — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • wozcode-plugin — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (58%)
  • investiture — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)

ai-software-architect alternative? Top 6 similar tools

Looking for a ai-software-architect alternative? If you're comparing ai-software-architect with other mcp server 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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    Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Fr

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Frequently Asked Questions

What is ai-software-architect?

ai-software-architect is AI-powered architecture documentation framework with ADRs, reviews, and pragmatic mode. Now available as Claude Code Plugin for easiest installation.. It is categorized as a MCP Server with 77 GitHub stars.

What programming language is ai-software-architect written in?

ai-software-architect is primarily written in JavaScript. It covers topics such as adr, architectural-decision-records, architecture.

How do I install or use ai-software-architect?

You can find installation instructions and usage details in the ai-software-architect GitHub repository at github.com/codenamev/ai-software-architect. The project has 77 stars and 11 forks, indicating an active community.

What are the best alternatives to ai-software-architect?

The top alternatives to ai-software-architect on Agent Skills Hub include SciAgent-Skills, daymon, aws-skills. 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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