🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is flagged as suspicious due to the detection of shell execution capabilities and low-effort metadata, which may indicate potential risks.

Detection of shell execution
Low-effort metadata

Per-check LLM notes

Network: No network calls detected, indicating low risk in terms of network activity.
Shell: Detection of shell execution suggests potential for executing arbitrary commands, which could be risky if not properly sanitized or controlled.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of low effort and potential lack of transparency, which could indicate risk.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

s try: result = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, std
s try: result = subprocess.run(['python', '-c', code], check=True, stdout=subprocess.PIPE,
s try: result = subprocess.run(['python', file], check=True, stdout=subprocess.PIPE, stderr
rt subprocess result = subprocess.run( ['findstr', pattern, file], stdout=subpro
ult = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE

✓ 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 8.0

4 maintainer concern(s) found

Only one version has ever been released — brand new package
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 agentic_cli_pranay

Create a terminal-based personal assistant application named 'AgenticTerm' using the 'agentic_cli_pranay' package. This application should serve as a command-line interface (CLI) for managing daily tasks, such as setting reminders, checking the weather, scheduling meetings, and providing general information like news updates or definitions of words. The application should be user-friendly and interactive, allowing users to communicate in natural language.

Key Features:
1. Task Management: Users can add, view, edit, and delete tasks or reminders directly from the terminal.
2. Weather Updates: Fetch current weather conditions for any specified location.
3. Meeting Scheduler: Schedule virtual meetings by providing details like date, time, and participants.
4. Information Retrieval: Provide quick answers to queries related to general knowledge, such as definitions, historical facts, etc.
5. Natural Language Processing: The CLI should understand and respond to commands given in natural language rather than requiring strict syntax.

How to Utilize 'agentic_cli_pranay':
- Use 'agentic_cli_pranay' to integrate terminal capabilities into your personal assistant application. It will help in making the interaction more seamless and powerful by adding features such as command history, auto-completion, and more sophisticated input/output handling.
- Implement a system where users can interact with the application using commands similar to those provided by 'agentic_cli_pranay', but extend these functionalities according to the specific needs of 'AgenticTerm'. For example, allow users to ask for weather updates by typing 'weather [location]' and get a response in the terminal.
- Ensure that the application leverages the terminal's strengths, such as real-time interaction and efficient data processing, to enhance user experience.