aidocs-cli

v0.1.2 suspicious
5.0
Medium Risk

AI documentation generator — Auto-generate README, API docs, and changelogs from your source code.

🤖 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.

💬 Discussion Feed

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