🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits shell execution patterns that could potentially be exploited for malicious activities, despite no immediate evidence of actual malicious intent. Additionally, the metadata suggests a lack of active maintenance.

Shell execution patterns
Signs of low effort and possibly inactive maintainer

Per-check LLM notes

Network: No network calls detected, which is normal and expected.
Shell: Shell execution patterns may indicate potential risks such as executing arbitrary commands, which could be used for malicious purposes like data exfiltration or establishing backdoors.
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 possibly inactive maintainer, raising some suspicion but not conclusive evidence of malice.

🔬 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_terminal_rss

Create a terminal-based RSS feed reader application using the 'agentic_terminal_rss' package. This application will allow users to interactively browse and manage multiple RSS feeds directly from their command line interface. Here’s a detailed outline of what the app should include:

1. **RSS Feed Subscription Management**: Users should be able to add, remove, and list subscriptions to various RSS feeds.
2. **Feed Update Mechanism**: Implement a feature that periodically updates the subscribed RSS feeds to ensure users get the latest content.
3. **Article Display**: When displaying articles from a feed, provide options to show only summaries, full texts, or both.
4. **Search Functionality**: Allow users to search through articles within a specific feed or across all feeds based on keywords.
5. **Mark as Read/Unread**: Enable users to mark articles as read or unread, and filter the display of articles based on this status.
6. **Customizable Settings**: Provide settings for customizing update intervals, article display formats, etc.
7. **User Interface Enhancements**: Improve the user experience by adding color-coded outputs for different types of information (e.g., titles in bold, links in blue).
8. **Help and Documentation**: Include comprehensive help documentation accessible via a command within the terminal.

To achieve these functionalities, utilize the 'agentic_terminal_rss' package to handle the terminal interactions and integration with RSS feeds. Ensure the application is robust, user-friendly, and adheres to best coding practices.