Aumai Sovereignstack

B 84 completed
Ai Ml
cli / python · tiny
22
Files
1,508
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#304047
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
41.16
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47628
Member of a group with 1 similar repo(s) — canonical #27307 view group →
Top concepts (5)
Project DescriptiontestingTestingFactoryTesting
Repobility · code-quality intelligence platform · https://repobility.com

AI Prompt

Create a command-line tool called AumAI SovereignStack for securely and sovereignly deploying AI models. Since this is a CLI tool, I'd like the core functionality to be manageable, and I need to ensure it's testable using pytest. Please structure the project using Python and include necessary documentation sections like getting started guides and API references. Also, make sure the project structure supports contribution guidelines.
python cli ai deployment pytest tooling sovereign command-line
Generated by gemma4:latest

Catalog Information

The AUMAI SovereignStack is a tool for deploying AI models in a secure and sovereign manner.

Description

AUMAI SovereignStack is an open-source toolkit designed to facilitate the deployment of artificial intelligence (AI) models in a secure and autonomous way. It provides a set of tools and libraries to streamline the process of building, testing, and deploying AI applications. The toolkit aims to empower developers to create and manage their own AI infrastructure without relying on external services.

الوصف

يعد SovereignStack أداة لتنفيذ النماذج الذكية في طريقة آمنة ومستقلة. يهدف إلى توفير مجموعة من الأدوات وال бібліوتقيات ل.streamlining عملية بناء واختبار وتثبيت التطبيقات الذكية. يهدف إلى تمكين المطورين من إنشاء وإدارة infrastrcture AI الخاصة بهم دون الاعتماد على الخدمات الخارجية.

Novelty

7/10

Tags

ai-deployment secure-deployment sovereign-infrastructure artificial-intelligence machine-learning

Technologies

click pydantic

Claude Models

claude-opus-4.6

Quality Score

B
84.5/100
Structure
93
Code Quality
80
Documentation
85
Testing
85
Practices
69
Security
100
Dependencies
80

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (60% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Security & Health

4.1h
Tech Debt (D)
High
DORA Rating
A
OWASP (100%)
All rows above produced by Repobility · https://repobility.com
PASS
Quality Gate
A
Risk (6)
Apache-2.0
License
6.5%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
81.7%
markdown
9.0%
yaml
5.3%
toml
4.0%

Frameworks

pytest

Symbols

variable23
method14
class7
constant5
function5

Concepts (5)

Findings curated by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
All rows scored by the Repobility analyzer (https://repobility.com)
auto_descriptionProject Description> Sovereign AI deployment toolkit80%
arch_layertestingDetected testing layer70%
auto_categoryTestingtesting70%
design_patternFactoryFound factory/create_ naming patterns60%
business_logicTestingDetected from 3 related files50%

Quality Timeline

1 quality score recorded.

View File Metrics
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)

Embed Badge

Add to your README:

![Quality](https://repos.aljefra.com/badge/27874.svg)
Quality BadgeSecurity Badge
Export Quality CSVDownload SBOMExport Findings CSV

BinComp Dependency Hardening

All packages →
2 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
Nclick8.3.2 · 0 gadgets · risk 0.0Npydantic2.12.5 · 0 gadgets · risk 0.0