🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks associated with network, shell execution, obfuscation, and credential handling. However, the missing maintainer's author name and the apparent newness or inactivity of the maintainer's account raise concerns that warrant further investigation.

Missing maintainer's author name
New or inactive maintainer's account

Per-check LLM notes

Network: No network calls detected, indicating low risk.
Shell: Shell executions are likely for version control operations and not indicative of malicious behavior.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
Credentials: No credential harvesting patterns detected, suggesting secure handling of secrets.
Metadata: The maintainer's author name is missing and the account seems new or inactive, 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 6 shell execution pattern(s)

se): try: subprocess.run( ["git", "add", str(version_file)],
""" try: result = subprocess.run( ["git", "diff", "--name-only", "HEAD~1..HEAD"],
tr: try: result = subprocess.run( ["git", "diff", "HEAD~1..HEAD"], ca
se): try: subprocess.run( ["git", "add", str(changelog_path)],
"] try: result = subprocess.run(cmd, capture_output=True, text=True, check=True, timeout=30)
ry: git_diff_result = subprocess.run( ["git", "diff", "HEAD~1..HEAD"], ca

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Denissvgn/python-wiki-llm appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 agent-wiki-cli

Create a fully-functional mini-application called 'WikiSync' using the Python package 'agent-wiki-cli'. This application will serve as a powerful tool for managing and synchronizing knowledge bases across multiple languages for a multinational company. The goal is to streamline the process of updating, creating, and maintaining multilingual documentation in a hybrid LLM Wiki environment.

Step 1: Set up your development environment with Python and install the 'agent-wiki-cli' package.

Step 2: Design the basic structure of 'WikiSync', including user authentication, language selection, and wiki management functionalities.

Step 3: Implement core features such as:
- Adding new articles or pages in different languages.
- Updating existing content with version control.
- Deleting outdated information.
- Searching and retrieving specific entries across all languages.
- Synchronizing changes made in one language version to other versions.

Step 4: Utilize 'agent-wiki-cli' to handle the underlying operations related to the creation, modification, and deletion of wiki entries. Integrate its capabilities to ensure seamless interaction with the hybrid LLM Wiki system.

Step 5: Enhance user experience by adding features like:
- Real-time notifications for updates.
- User-friendly interface for easy navigation and interaction.
- Support for importing/exporting data in various formats.
- Analytics on usage patterns and popular topics.

Step 6: Test the application thoroughly to ensure it works as expected under various conditions and scenarios.

By following these steps, you'll create a robust, efficient, and user-friendly tool that leverages the power of 'agent-wiki-cli' to manage complex multilingual wikis effortlessly.