Aumai Reasonflow

B+ 86 completed
Ai Ml
cli / python · tiny
21
Files
1,492
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#304040
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
42.97
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 — the code-quality scanner for AI-generated software · https://repobility.com

AI Prompt

Create a command-line interface (CLI) tool in Python for building a visual reasoning chain editor and debugger, similar to AumAI ReasonFlow. The tool should have core functionality for creating and debugging these reasoning chains. Please structure the project to include documentation sections for getting started and an API reference, and ensure it's set up for testing using pytest. I'd like to follow standard Python packaging practices.
python cli reasoning debugger ai tooling pytest command-line
Generated by gemma4:latest

Catalog Information

The AUMAI ReasonFlow project is designed to provide a visual interface for creating and debugging reasoning chains.

Description

AUMAI ReasonFlow is a tool that enables users to create, edit, and debug visual reasoning chains. It provides an intuitive interface for building complex logical flows, making it easier to identify and resolve errors. With AUMAI ReasonFlow, developers can focus on crafting robust and efficient reasoning chains without getting bogged down in code.

الوصف

أوماي ريزون فلو هو أداة تسمح للمستخدمين بإنشاء وتحرير وتحليل السلاسل المنطقية البصرية. يوفّر هذا الأداة واجهة مستخدمة سهلة الاستخدام لإنشاء تدفقات منطقية معقدة، مما يجعل من السهل تحديد وتجاوز الأخطاء. باستخدام أوماي ريزون فلو، يمكن للمطورين التركيز على صياغة التدفقات المنطقية القوية والفعالة دون أن يتعثروا في الكود.

Novelty

7/10

Tags

visual-reasoning chain-editor debugger logical-flows error-resolution

Technologies

click pydantic

Claude Models

claude-opus-4.6

Quality Score

B+
85.7/100
Structure
89
Code Quality
90
Documentation
85
Testing
85
Practices
66
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

4.3h
Tech Debt (D)
High
DORA Rating
A
OWASP (100%)
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
PASS
Quality Gate
A
Risk (7)
Apache-2.0
License
2.8%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
81.9%
markdown
8.9%
yaml
5.2%
toml
3.9%

Frameworks

pytest

Symbols

method20
variable20
constant12
class9
function5
property2

Concepts (4)

Same analyzer free for public repos: https://repobility.com
CategoryNameDescriptionConfidence
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
auto_descriptionProject Description> Visual reasoning chain editor and debugger80%
arch_layertestingDetected testing layer70%
auto_categoryTestingtesting70%
business_logicTestingDetected from 3 related files50%

Quality Timeline

1 quality score recorded.

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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