🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network calls, shell execution, obfuscation, and credential harvesting. However, its metadata quality and maintainer activity are poor, which raises suspicion about its authenticity and reliability.

Low maintainer activity and poor metadata quality
No detected high-risk behaviors such as network calls or credential harvesting

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires network interactions.
Shell: No shell execution detected, which is safe and expected for most Python packages.
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 some suspicion but not definitive 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 (1109 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 4.0

2 maintainer concern(s) found

Author "ai-terminal" 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-shell-hub

Create a terminal-based utility called 'ShellGenius' that leverages the capabilities of the 'ai-shell-hub' package to enhance user interaction with the terminal environment. This tool will serve as an advanced command-line interface assistant, capable of understanding natural language inputs from users and translating them into appropriate shell commands. Additionally, it should provide feedback on potential errors, analyze previous command histories to suggest optimizations or corrections, and offer explanations for complex commands.

Step 1: Set up your development environment with Python and install the 'ai-shell-hub' package.
Step 2: Design the main loop of 'ShellGenius', which continuously prompts the user for input and processes it using 'ai-shell-hub'.
Step 3: Implement functionality to execute the generated shell commands within a safe sandboxed environment.
Step 4: Add error handling and diagnostic feedback based on the results of executed commands.
Step 5: Integrate a feature to learn from past command histories, suggesting improvements or corrections based on patterns recognized in user behavior.
Step 6: Incorporate an explanatory module that provides context and usage examples for unfamiliar commands entered by the user.

Suggested Features:
- Natural Language Command Generation: Users can describe tasks they want to perform in plain English, and 'ShellGenius' converts these descriptions into executable shell commands.
- Error Diagnostics: If a command fails, 'ShellGenius' analyzes the error output and suggests possible solutions or corrections.
- Shell History Analysis: By analyzing previous commands, 'ShellGenius' can detect inefficiencies or mistakes and propose better ways to achieve similar outcomes.
- Command Explanations: For any command, 'ShellGenius' can generate a brief description explaining its purpose and typical use cases.
- Safe Execution Environment: All commands executed through 'ShellGenius' should run in a secure, isolated environment to prevent accidental damage to the system.