Aumai Constitution

B+ 89 completed
Ai Ml
cli / python · tiny
22
Files
1,252
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#303997
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
39.97
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 (4)
Project DescriptiontestingTestingTesting
Repobility analyzer · published findings · https://repobility.com

AI Prompt

Create a command-line interface (CLI) tool in Python that helps developers define the constitution for their AI systems. The tool should be structured as a framework, following best practices, and include sections for documentation, examples, and contribution guidelines. Since it's a framework, please ensure it's set up with necessary configuration files like `pyproject.toml` and includes a testing structure using `pytest`.
python cli ai framework testing developer-tool constitution
Generated by gemma4:latest

Catalog Information

The AUMAI Constitution framework is designed to help developers define the constitution of their AI systems.

Description

AUMAI Constitution is a Python-based framework that enables developers to define the constitution of their AI systems. This framework provides a structured approach to defining the rules and guidelines for an AI system, ensuring transparency and accountability in its decision-making processes. With AUMAI Constitution, developers can create a clear and concise document outlining the principles and constraints governing their AI system's behavior.

الوصف

هو إطار عمل بيريثون يسمح للمطورين تعريف الدستور للأنظمة الذكية. هذا الإطار يعطي طريقة منظمة لتعريف القواعد والمبادئ التي تحكم سلوك الأنظمة الذكية، مما يضمن شفافية وresponsibility في عملية اتخاذ القرارات.

Novelty

7/10

Tags

ai-system-constitution framework transparency accountability decision-making-rules

Technologies

click pydantic

Claude Models

claude-opus-4.6

Quality Score

B+
89.2/100
Structure
93
Code Quality
100
Documentation
85
Testing
85
Practices
67
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)
Medium
DORA Rating
A
OWASP (100%)
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PASS
Quality Gate
A
Risk (8)
Apache-2.0
License
0.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
77.3%
markdown
11.2%
yaml
6.5%
toml
5.0%

Frameworks

pytest

Symbols

variable25
method7
class6
function5

Concepts (4)

Source: Repobility analyzer (https://repobility.com)
CategoryNameDescriptionConfidence
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
auto_descriptionProject Description> Framework for defining AI system constitutions80%
arch_layertestingDetected testing layer70%
auto_categoryTestingtesting70%
business_logicTestingDetected from 3 related files50%

Quality Timeline

1 quality score recorded.

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Repobility · code-quality intelligence platform · https://repobility.com

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BinComp Dependency Hardening

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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