aws-architecture-diagram-skill: Reusable skill for generating AWS architecture diagrams in draw.io format. Works with Kiro CLI and Claude Code

by vidanov · Agent Tool · ★ 157

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

How to install aws-architecture-diagram-skill

/plugin marketplace add vidanov/aws-architecture-diagram-skill

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 74/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-toolsarchitecture-diagramawsclaude-codedrawioinfrastructure-as-codekiro-cliserverless

Quick Facts

Stars157
Forks20
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score74/100
Last Updated2026-10-04
Created2026-05-22
Platformsaws, claude-code, cli, python
Est. Tokens~15k

About aws-architecture-diagram-skill

AWS Architecture Diagram Skill A reusable skill for generating AWS architecture diagrams in draw.io format. Works with any AI assistant — ChatGPT, Claude Projects, Kiro CLI, Claude Code, or any internal AI agent that supports custom prompts and file uploads. Generates production-quality files using official AWS Architecture Icons with proper styling, layout, and color coding.

Compatible Skills

These tools work well together with aws-architecture-diagram-skill for enhanced workflows:

  • tldraw-skill — semantic(0.20)+complementary+rare_topics+similar_pop+shared_platform (51%)
  • memory-forge-rs — semantic(0.34)+complementary+rare_topics+similar_pop+shared_platform (51%)
  • aws-skills — semantic(0.32)+complementary+similar_pop+shared_platform (51%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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