Redflag Engine
F 49 completed
Ai Ml
unknown / python · tiny
26
Files
4,223
LOC
0
Frameworks
5
Languages
Pipeline State
completedRun ID
#299346Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
34.97Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47727
Member of a group with 1 similar repo(s) — canonical #18123 view group →
Top concepts (4)
RepositoryData/MLProject DescriptionTesting
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)
🧪 Code Distillation
Browse all specs →AI Prompt
I want to build a data analysis tool called the "Red Flag Engine" using Python. This engine should be designed to detect and flag potential issues within datasets. The core functionality seems to involve some kind of pattern matching or analysis, so please structure the project to handle data ingestion and then run checks based on predefined rules. I see some folders like 'HMM' and 'Red Flag Engine/', so please set up the basic structure for these components. It should be a command-line tool written in Python.
python data-analysis machine-learning data-validation cli
Generated by gemma4:latest
Catalog Information
The Red Flag Engine is a project for detecting and flagging potential issues in data.
Description
This project uses machine learning to identify anomalies in datasets, providing users with a clear understanding of their data's integrity. It leverages the power of Streamlit for interactive visualization and Pydantic for robust data modeling. The engine can be integrated into various applications to ensure high-quality data. Its primary goal is to assist developers in maintaining clean and reliable data.
الوصف
هذا المشروع يستخدم التعلم الآلي لتحديد الأشكال الغريبة في البيانات، مما يتيح للمستخدمين فهمًا واضحًا لصحة البيانات. يستفيد من قوة Streamlit للتصوير التفاعلي و Pydantic للنمذجة البيانية المتينة. يمكن دمج هذا المحرك في تطبيقات متعددة لضمان بيانات عالية الجودة. الهدف الرئيسي هو مساعدة المطورين على الحفاظ على بيانات نظيفة وموثوقة.
Novelty
7/10Tags
data-quality anomaly-detection machine-learning data-integrity data-validation
Technologies
anthropic pandas pydantic streamlit
Claude Models
claude-sonnet-4.6
Quality Score
F
49.1/100
Structure
33
Code Quality
64
Documentation
34
Testing
0
Practices
76
Security
100
Dependencies
80
Strengths
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
Weaknesses
- Missing README file \u2014 critical for project understanding
- No LICENSE file \u2014 legal ambiguity for contributors
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
- 254 duplicate lines detected \u2014 consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Recommendations
- Add a comprehensive README.md explaining purpose, setup, usage, and architecture
- Add a test suite \u2014 start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
Security & Health
4.6h
Tech Debt (C)
Medium
DORA Rating
A
OWASP (100%)
Repobility · MCP-ready · https://repobility.com
FAIL
Quality Gate
A
Risk (15)
Unknown
License
2.1%
Duplication
Languages
Frameworks
None detected
Symbols
variable126
function83
constant69
class19
method8
property1
Concepts (4)
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| design_pattern | Repository | Found repository-named files | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Data/ML | data-ml | 60% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | This project appears to be a Hidden Markov Model (HMM) based system for analyzing financial data, potentially for identifying red flags or generating trading signals. | 60% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Testing | Detected from 2 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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BinComp Dependency Hardening
All packages →6 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.