lanshu-animated-architecture-diagram — not yet audited

by cclank · Codex Skill · ★ 947

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

About lanshu-animated-architecture-diagram

Premium hand-drawn animated architecture diagram Codex skill

Quick Facts

Stars947
Forks115
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score48.548669646751/100
Open Issues2
Last Updated2026-09-03
Created2026-06-26
Platformscodex, python
Est. Tokens~13k

Compatible Skills

These tools work well together with lanshu-animated-architecture-diagram for enhanced workflows:

  • hand-drawn-diagrams — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (61%)
  • excalidraw-skill — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • ArchUnitPython — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)

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Frequently Asked Questions

What is lanshu-animated-architecture-diagram?

lanshu-animated-architecture-diagram is Premium hand-drawn animated architecture diagram Codex skill. It is categorized as a Codex Skill with 947 GitHub stars.

What programming language is lanshu-animated-architecture-diagram written in?

lanshu-animated-architecture-diagram is primarily written in Python.

How do I install or use lanshu-animated-architecture-diagram?

You can find installation instructions and usage details in the lanshu-animated-architecture-diagram GitHub repository at github.com/cclank/lanshu-animated-architecture-diagram. The project has 947 stars and 115 forks, indicating an active community.

What license does lanshu-animated-architecture-diagram use?

lanshu-animated-architecture-diagram is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to lanshu-animated-architecture-diagram?

The top alternatives to lanshu-animated-architecture-diagram on Agent Skills Hub include Claude-to-IM-skill, skillshare, pi-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:

View on GitHub → Browse Codex Skill tools