ArchUnitPython

REVIEW · 73
Community indexed

ArchUnitPython is an architecture testing library. Specify and ensure architecture rules in your Python app. Easy setup and pipeline integration.

Downloads0
Stars319
Version1.0.0
Quality79/100 · Strong
Trust73/100 · Sandbox only
Audit84/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add LukasNiessen/ArchUnitPython

Maintenance

active

2mo since push

Risk

Safe to try

Quality score needs review

GitHub quality

319

79/100 Quality · 81/100 Trust

Coverage tags

CodingCoding agentsdevelopmentstatic-analysiscode-quality

Review notes

Quality score needs review · Stars/forks activity: 319 stars, 4 forks; issue activity unavailable in current metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
79

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
73

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Safe to try
84

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonStatic AnalysisCodexClaude CodeCursor

Stars

319 GitHub stars

Repo activity

319 stars, 4 forks

Maintenance

2mo since push

License

MIT

Install

npx skills add LukasNiessen/ArchUnitPython

Install safety

standard package or runtime install path

Permission surface

no high-risk permission surface in public metadata

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Quality score needs review
  • Stars/forks activity: 319 stars, 4 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect source files

Suited agents

PythonStatic AnalysisCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add LukasNiessen/ArchUnitPython
Policy
review
Human review
yes

Trust and risk

Trust
73/100
Audit
84/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add LukasNiessen/ArchUnitPython

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Quality score needs review
  • Stars/forks activity: 319 stars, 4 forks; issue activity unavailable in current metadata

Agent safety v2

72/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

  • Quality score needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add LukasNiessen/ArchUnitPython

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use ArchUnitPython in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ArchUnitPython%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/lukasniessen-archunitpython/install
Install command: npx skills add LukasNiessen/ArchUnitPython
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use ArchUnitPython for this task. Review https://www.openagentskill.com/api/skills/lukasniessen-archunitpython/install, then install with: npx skills add LukasNiessen/ArchUnitPython

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

79/100

Coding agents

Platforms

Python, Static Analysis, Claude Code

Audit report

Safe to try · 84/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Companion skill for Coding agents

Shortlist this skill and compare it with close alternatives before production adoption.

79
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

Coding agents

Trust label

Strong shortlist

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 79/100 quality profile
  • 2 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

73
OpenAgentSkill Trust Score

GitHub adoption

INFO

319 GitHub stars

Stars/forks activity

CHECK

319 stars, 4 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Quality score needs review
  • Stars/forks activity: 319 stars, 4 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

79
GitHub stars
319
Freshness
2mo ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

ArchUnitPython is an architecture testing library. Specify and ensure architecture rules in your Python app. Easy setup and pipeline integration.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform compatibility

pythonFULL
static-analysisFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Jun 7, 2026
Published
May 24, 2026

Frameworks & tools

PythonStatic Analysis

Decision snapshot

Companion skill

79
Ready
Shortlist
Stage

recent repository activity

Audit

Install review

Install and adoption review

84
Safe to try
Security
89/100
Maintenance
88/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for ArchUnitPython, ready for a manual X post.

Curator note
A practical pick for the next repo task:

ArchUnitPython: ArchUnitPython is an architecture testing library. Specify and ensure architecture rules in your Python app. Easy setup and...

319 stars

https://www.openagentskill.com/skills/lukasniessen-archunitpython?ref=x
Open X draft
Optional reply with install command
Listing + install path for ArchUnitPython:
https://www.openagentskill.com/skills/lukasniessen-archunitpython?ref=x

Install: npx skills add LukasNiessen/ArchUnitPython

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to LukasNiessen but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/lukasniessen-archunitpython?metric=listed&label=Listed)](https://www.openagentskill.com/skills/lukasniessen-archunitpython)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/lukasniessen-archunitpython?metric=trust&label=Trust)](https://www.openagentskill.com/skills/lukasniessen-archunitpython)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/lukasniessen-archunitpython?metric=audit&label=Audit)](https://www.openagentskill.com/skills/lukasniessen-archunitpython/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/lukasniessen-archunitpython?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/lukasniessen-archunitpython)

Author

L

LukasNiessen

@lukasniessen

Platform fit

Health signals

GitHub stars
319
Quality score
51/100
Last GitHub push
May 24, 2026
Framework hints
2
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

73
  • GitHub adoption319 GitHub starsINFO
  • Stars/forks activity319 stars, 4 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance2mo since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS