ai-friendly-architecture

ai-friendly-architecture is a Codebase structure & module boundaries skill for AI agents, published by AsiaOstrich in the universal-dev-standards repository on GitHub. Skillspace rates ai-friendly-architecture F (52/100) and it passed the safety scan; the rating is based on static analysis only.

Design AI-friendly architecture with explicit patterns, layered documentation, and semantic boundaries. Use when: structuring projects for AI collaboration, optimizing codebase for AI analysis, setting up AI context. Keywords: architecture, AI-friendly, context, modules, documentation layers, .ai-context.yaml.

Grade
F
Quality
52 / 100
Safety
Passed
GitHub stars
70

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubAsiaOstrich/universal-dev-standards

Our review

Architecture
78 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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