🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks in terms of network, shell, obfuscation, and credential usage. However, the low maintainer activity and poor metadata quality raise concerns about its trustworthiness.

Low maintainer activity
Poor metadata quality

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low maintainer activity and poor metadata quality, raising suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (1131 chars)

○ 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 6.0

3 maintainer concern(s) found

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 aidocs-cli

Create a Python-based project management tool called 'DocMaster' which integrates the 'aidocs-cli' package to automate documentation generation for various aspects of software projects. DocMaster will streamline the process of maintaining up-to-date README files, API documentation, and changelogs for multiple repositories. Here's a detailed breakdown of the steps and features you'll need to implement:

1. **Project Setup**: Initialize a new Python project and install the required dependencies including 'aidocs-cli'.
2. **Configuration Module**: Develop a configuration module where users can input details about their repositories such as paths, languages, and specific file types to be included/excluded.
3. **Documentation Generation**: Implement functions that use 'aidocs-cli' to auto-generate README files, API documentation, and changelogs based on the provided repository information. Ensure these functions can handle different programming languages and frameworks.
4. **User Interface**: Create a simple command-line interface (CLI) for users to interact with DocMaster. This CLI should allow users to select repositories, choose which types of documents to generate, and specify any customizations.
5. **Customization Options**: Offer customization options within the CLI for users to tailor the output of their documentation according to their preferences, such as adding badges, modifying templates, or specifying sections.
6. **Integration Testing**: Write integration tests to verify that DocMaster correctly generates the expected documentation across a variety of test cases.
7. **Deployment**: Prepare DocMaster for deployment by packaging it into a distributable format like a wheel or a tarball, ensuring it can be easily installed via pip.
8. **Usage Documentation**: Finally, use 'aidocs-cli' itself to generate comprehensive usage documentation for DocMaster, including setup instructions, configuration examples, and troubleshooting tips.

This project aims to significantly reduce the time and effort required to maintain high-quality documentation for software projects, leveraging the power of 'aidocs-cli' to ensure accuracy and consistency.