AI Analysis
Final verdict: SUSPICIOUS
The package has some potential security concerns, particularly around credential handling and incomplete metadata, which raise suspicion about its authenticity and security practices.
- credential risk due to direct user input for API keys
- incomplete metadata and single-package maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, indicating no immediate risk from command injection or similar attacks.
- Obfuscation: No obfuscation patterns detected.
- Credentials: The code snippet suggests direct user input for an API key, which could be legitimate but also poses a risk if not handled securely.
- Metadata: The author's information is incomplete and the maintainer has only one package, which may indicate a less experienced or potentially suspicious actor.
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
score 2.5
Found 1 credential access pattern(s)
will replace it.") key = getpass.getpass(f"Enter API key for {name} (input hidden): ").strip() if
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 rubakas/agent-notes appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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-notes
Your task is to develop a versatile mini-application called 'AgentNoteTaker' that leverages the capabilities of the 'agent-notes' Python package to manage configurations for various AI agents like Claude Code, OpenCode, and Copilot. This application will serve as a central hub for managing and configuring different AI agents, allowing users to create, edit, delete, and view configurations effortlessly. ### Key Features: 1. **Configuration Management**: Users should be able to create new configurations for any supported AI agent, including specifying unique settings such as API keys, preferred programming languages, and custom instructions. 2. **User Interface**: Develop a simple and intuitive command-line interface (CLI) for interacting with the application. The CLI should support basic commands like `create`, `edit`, `delete`, and `view`. 3. **Persistence**: Ensure that configurations are stored persistently using JSON files on disk, allowing users to maintain their settings even after closing and reopening the application. 4. **Versioning**: Implement a versioning system where each configuration update is tracked, enabling users to revert to previous versions if needed. 5. **Security**: Incorporate basic security measures, such as encrypting sensitive information like API keys before storing them. 6. **Integration Testing**: Write unit tests to verify the functionality of your application, particularly focusing on data persistence and security aspects. ### Utilization of 'agent-notes': - Use the 'agent-notes' package to handle the creation, modification, and deletion of AI agent configurations. - Leverage its built-in functionalities to streamline the management process and ensure compatibility across different AI agents. - Explore advanced features provided by 'agent-notes', such as automatic backups and conflict resolution mechanisms, to enhance the reliability of your application. Your goal is to create a robust, user-friendly tool that simplifies the process of managing AI agent configurations, making it easier for developers and enthusiasts to work with multiple AI tools efficiently.