aind-mgi-service-client

v0.2.5 safe
2.0
Low Risk

aind-mgi-service

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of risk with no network calls, shell executions, or obfuscations detected. The primary concern lies in the maintainer's new or inactive PyPI account and lack of detailed metadata, but these do not strongly indicate malicious intent.

  • No network calls detected.
  • Maintainer has a new or inactive PyPI account.
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity without additional context.
  • Shell: No shell execution patterns detected, reducing the likelihood of immediate risk from this package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks PyPI classifiers, suggesting low effort or poor metadata quality.

📦 Package Quality Overall: Low (3.6/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

  • 7 test file(s) detected (e.g. test_default_api.py)
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 32 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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: openapitools.org

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "OpenAPI Generator community" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aind-mgi-service-client 
Your task is to develop a mini-application called 'MGI Explorer' using the Python package 'aind-mgi-service-client'. This application will serve as a user-friendly interface to explore and analyze data from the Mouse Genome Informatics (MGI) database, which contains comprehensive genetic information about mice. Your goal is to create a tool that allows users to query MGI data based on gene symbols, phenotypes, or mutant alleles, and then visualize the results in a meaningful way.

### Features:
1. **Gene Query**: Users should be able to enter a gene symbol to retrieve information such as associated phenotypes, mutant alleles, and references.
2. **Phenotype Search**: Allow users to search for genes linked to specific phenotypes.
3. **Mutant Allele Lookup**: Provide functionality for looking up information related to mutant alleles.
4. **Data Visualization**: Implement a simple visualization feature to display relationships between genes, phenotypes, and alleles.
5. **User Interface**: Develop a basic command-line interface (CLI) or a simple web interface using Flask for ease of use.

### Utilizing 'aind-mgi-service-client':
- Use the 'aind-mgi-service-client' package to connect to the MGI service, retrieve relevant data based on user queries, and process the returned information.
- Explore the package documentation to understand how to perform searches, handle responses, and manage errors effectively.
- Consider implementing caching mechanisms to store frequently accessed data and improve performance.

### Deliverables:
- A functional application that integrates the 'aind-mgi-service-client' package.
- Clear instructions on how to install and run the application.
- Documentation explaining the implementation choices and how to extend the application with additional features.
- Sample queries and expected outputs to demonstrate the application's capabilities.

💬 Discussion Feed

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