🤖 AI Analysis

Final verdict: SUSPICIOUS

The package aichs v0.3.1 has a moderate risk score due to potential shell execution capabilities, though no other significant risks were identified.

Potential shell execution capabilities
No network calls detected
No obfuscation or credential harvesting detected

Per-check LLM notes

Network: No network calls were detected, which is normal and does not indicate any risk.
Shell: The presence of shell execution patterns may indicate the package could execute arbitrary commands, which could be a security risk if not properly sanitized or intended for legitimate use.
Obfuscation: No obfuscation patterns detected, suggesting low risk.
Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 25 test file(s) found

25 test file(s) detected (e.g. test_auto_title.py)

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://github.com/nadav-yo/aichs/tree/main/docs
Detailed PyPI description (3681 chars)

○ 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

335 type-annotated function signatures detected in source

◈ Medium Multiple Contributors 6.0

Limited contributor diversity

2 unique contributor(s) across 26 commits in nadav-yo/aichs
Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

try: result = subprocess.run( spec[1:], shell=True,
dow_startupinfo()) return subprocess.run(*args, **kwargs) def popen_no_window(*args, process_group:
dow_startupinfo()) return subprocess.Popen(*args, **kwargs) from __future__ import annotations import
spec[1:], shell=True, capture_output=True, text=

✓ Credential Harvesting

No credential harvesting patterns detected

⚠ Typosquatting score 3.0

Possible typosquat of: rich

"aichs" is 2 edit(s) from "rich"

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Nadav Yo" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aichs

Create a fully-functional mini-application named 'CodeVisualizer' using the Python package 'aichs'. This application should allow users to visualize and interact with their code snippets in a more engaging way, enhancing the understanding and debugging process. The app should include the following features:

1. **Code Snippet Input**: Users should be able to input their code snippets directly into the application.
2. **Syntax Highlighting**: Implement syntax highlighting for different programming languages like Python, JavaScript, and HTML.
3. **Line Numbering**: Display line numbers for easy reference and navigation within the code snippet.
4. **Search Functionality**: Enable users to search for specific lines of code or keywords within the code snippet.
5. **Comment System**: Allow users to add comments next to specific lines of code for notes or explanations.
6. **Interactive Debugging Tools**: Integrate basic debugging tools such as breakpoints and step-through functionality.
7. **Export Feature**: Provide an option for users to export the annotated and highlighted code as a formatted text file or image.

Utilize the 'aichs' package to create a visually appealing and interactive interface for these features. Specifically, leverage 'aichs' to manage the graphical layout and user interactions, ensuring a smooth and intuitive experience. The application should be designed with simplicity and usability in mind, making it accessible for both beginners and experienced coders.