Aumai Policyminer

B+ 88 completed
Data Tool
cli / python · tiny
21
Files
1,392
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#304036
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
51.64
Framework unique
Isolation
Last stage change
2026-05-10 03:35:24
Deduplication group #48562
Member of a group with 20 similar repo(s) — canonical #28205 view group →
Top concepts (5)
Project DescriptiontestingTestingStrategyTesting
Repobility · MCP-ready · https://repobility.com

AI Prompt

Create a command-line tool in Python called AumAI Policyminer. The main goal is to extract governance policies from agent behavior logs for analysis and decision-making. I need the structure to support core functionality, and I should use pytest for testing. Please ensure the project structure includes documentation sections like getting started guides and an API reference, and that it's set up as a standalone CLI tool.
python cli ai governance log-analysis pytest tool
Generated by gemma4:latest

Catalog Information

This project extracts governance policies from agent behavior logs for analysis and decision-making.

Description

Aumai PolicyMiner is a tool that analyzes agent behavior logs to extract governance policies. It helps organizations understand their current policies and identify areas for improvement. The extracted policies can be used to inform compliance, risk management, and regulatory requirements. This project uses Click and Pydantic to process and structure the log data.

الوصف

يستخدم أوماي بوليسي ماینر تقنيات التحليل لاستخراج السياسات الحكومية من سجلات السلوك للعاملين. يساعد المنظمات على فهم سياساتهم الحالية وتحديد المجالات التي تحتاج إلى تحسين. يمكن استخدام السياسات المستخرجة لتوجيه الامتثال والتحكم في المخاطر والمواصفات التنظيمية. يستخدم هذا المشروع تقنيات Click و Pydantic لprocessing و structuring البيانات.

Novelty

7/10

Tags

governance-policy-extraction agent-behavior-analysis compliance-management risk-assessment regulatory-compliance

Technologies

click pydantic

Claude Models

claude-opus-4.6

Quality Score

B+
88.5/100
Structure
89
Code Quality
100
Documentation
85
Testing
85
Practices
68
Security
100
Dependencies
90

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%)
Open data scored by Repobility · https://repobility.com
PASS
Quality Gate
A
Risk (7)
Apache-2.0
License
0.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
80.4%
markdown
9.7%
yaml
5.6%
toml
4.3%

Frameworks

pytest

Symbols

variable18
method9
class6
function4

Concepts (5)

Source-of-truth: Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Repobility — same analyzer, your code, free for public repos · /scan/
auto_descriptionProject Description> Extract governance policies from agent behavior logs80%
arch_layertestingDetected testing layer70%
auto_categoryTestingtesting70%
design_patternStrategyFound strategy/policy-named files60%
business_logicTestingDetected from 3 related files50%

Quality Timeline

1 quality score recorded.

View File Metrics
Same scanner, your repo: https://repobility.com — Repobility

Embed Badge

Add to your README:

![Quality](https://repos.aljefra.com/badge/27863.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