🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk in terms of network activity, shell execution, obfuscation, and credential handling. However, the metadata risk score suggests potential low effort or new creation, warranting further investigation.

Metadata risk score of 5/10
No description provided

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution detected, which is expected as typical Python packages do not execute system commands unless necessary.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
Metadata: The package shows signs of low effort and could be newly created, raising some suspicion but not definitive evidence of malice.

📦 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

Could not retrieve contributor data from GitHub

GitHub API error: 404

🔬 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 score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "AI Dev Tools Team" 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 ai-dev-tools

Create a comprehensive Python-based development assistant named 'DevMate' that leverages the functionalities of the 'ai-dev-tools' package to streamline various aspects of software development. DevMate should integrate seamlessly into the developer's workflow, offering a suite of tools designed to enhance productivity and creativity. Here’s a detailed breakdown of what your project should include:

1. **Project Setup Wizard**: Utilize the PR review feature from 'ai-dev-tools' to create an interactive wizard that helps developers set up new projects efficiently. This wizard should guide users through essential steps like choosing a programming language, setting up version control, and generating initial code structures.
2. **Code Generation Assistant**: Integrate the SQL generation and image generation capabilities of 'ai-dev-tools' to offer a code snippet generator. Users can input specific requirements, and the tool will generate relevant code snippets, database schema designs, or even simple UI mockups.
3. **Documentation Generator**: Leverage the documentation generation feature to automatically create comprehensive documentation for any given codebase. This feature should support multiple programming languages and formats, ensuring that developers have easy access to well-structured documentation.
4. **Terminal Enhancement**: Use the terminal assistant functionality to improve the user experience within the command line interface. Implement features such as context-aware suggestions, automated command execution based on previous inputs, and enhanced navigation commands.
5. **Interactive Learning Mode**: Incorporate an interactive learning mode where developers can practice coding challenges and receive immediate feedback using the tools provided by 'ai-dev-tools'. This mode should adapt to the user's skill level and provide personalized learning paths.

To achieve these objectives, you'll need to carefully integrate the different components of 'ai-dev-tools', ensuring that they work cohesively to form a powerful development environment. Additionally, focus on designing a user-friendly interface and efficient data handling mechanisms to make 'DevMate' not only functional but also enjoyable to use.