avoidome

v0.1.0.post20260526 suspicious
4.0
Medium Risk

package for all avoidome things: avoidome definitions (collections of antitargets), datasets, extractions, etc.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package avoidome v0.1.0.post20260526 has low technical risks but exhibits significant metadata issues, raising suspicion about its authenticity and intent.

  • Lack of maintainer history
  • Missing author details
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands, reducing potential risks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The package shows several red flags including lack of maintainer history, missing author details, and low metadata quality.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ 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
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 8.0

4 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author name is missing or very short
  • Author "" 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 avoidome 
Create a bioinformatics tool called 'AvoidomeAnalyzer' using the Python package 'avoidome'. This tool will help researchers identify potential antitargets within their genetic data, which can be crucial in drug discovery and avoiding off-target effects. Here's a step-by-step guide on how to develop this tool:

1. **Setup Environment**: Begin by setting up a Python environment with the necessary dependencies, including the 'avoidome' package.
2. **Data Input**: Design a user-friendly interface where users can upload their genomic sequences or datasets.
3. **Antitarget Extraction**: Utilize the 'avoidome' package to extract potential antitargets from the uploaded data. Ensure that the tool supports various formats and types of input data.
4. **Analysis & Visualization**: Implement functionality to analyze these antitargets, providing insights such as frequency, location within the genome, and any patterns observed. Include visualization tools like graphs or charts to represent this data effectively.
5. **Report Generation**: Develop a feature that generates comprehensive reports based on the analysis performed. These reports should be downloadable in PDF format and include key findings, visualizations, and references to relevant avoidome definitions used in the analysis.
6. **Integration with Databases**: Optionally, integrate the tool with external databases to fetch additional information about the identified antitargets, enhancing the utility of the tool for researchers.
7. **User Documentation**: Finally, create detailed documentation for the tool, covering installation instructions, usage guidelines, and examples to help new users get started quickly.

Throughout the development process, focus on making the tool accessible and powerful, ensuring it leverages the full capabilities of the 'avoidome' package while being intuitive for researchers to use.

💬 Discussion Feed

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