AI Analysis
Final verdict: SUSPICIOUS
The package shows low direct risks like obfuscation and credential handling but has significant metadata concerns such as minimal activity and single contributor, raising suspicion.
- Minimal activity and single contributor
- Lack of maintainer history
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
- Metadata: High risk due to minimal activity, single contributor, and lack of maintainer history.
Package Quality Overall: Low (2.6/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Brief PyPI description (295 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
2.0
Single-author or unverifiable project
1 unique contributor(s) across 1 commits in muratturan19/aiassaySingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: kolektif360.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 7.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forksVery few commits: 1 totalSingle contributor with only 1 commit(s) — possibly throwaway account
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with aiassay
Create a comprehensive AI system evaluation tool using the 'aiassay' package. This tool will serve as a sandbox environment for testing various machine learning models against specific criteria. Your task is to design and implement a web-based application that allows users to upload their datasets, select from a variety of pre-built models, and evaluate these models based on accuracy, precision, recall, F1-score, and other relevant metrics provided by 'aiassay'. Additionally, include a feature where users can compare multiple models side-by-side and visualize the performance differences using graphs and charts. Ensure your application also provides a report summarizing the evaluation results, including any insights or recommendations derived from the 'aiassay' analysis. Use Flask or Django for the backend, and integrate JavaScript frameworks like React or Vue.js for the frontend to create an interactive user interface.