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 LukasNiessen · Claude Skill · ★ 229
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ArchUnitPython - Architecture Testing Enforce architecture rules in Python projects. Check for dependency directions, detect circular dependencies, enforce coding standards and much more. Integrates with pytest and any other testing framework. Very simple setup and pipeline integration. Zero runtime dependencies. Inspired by the amazing ArchUnit library but we are not affiliated with ArchUnit. Setup • Use Cases • Features • Contributing ⚡ 5 min Quickstart Installation Add tests Simply add tests to your existing test suites. The following is an example using pytest. First we ensure that we have no circular dependencies. python from archunitpython import projectfiles, metrics, assertpasses def testnocirculardependen
| Stars | 229 |
| Forks | 7 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67.6951312302195/100 |
| Open Issues | 16 |
| Last Updated | 2026-08-18 |
| Created | 2026-04-01 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
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ArchUnitPython is ArchUnitPython is an architecture testing library. Specify and ensure architecture rules in your Python app. Easy setup and pipeline integration.. It is categorized as a Claude Skill with 229 GitHub stars.
ArchUnitPython is primarily written in Python. It covers topics such as architecture, architecture-rules, architecture-test.
You can find installation instructions and usage details in the ArchUnitPython GitHub repository at github.com/LukasNiessen/ArchUnitPython. The project has 229 stars and 7 forks, indicating an active community.
ArchUnitPython is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ArchUnitPython on Agent Skills Hub include axon, lazy-bird, arcade-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.