🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows high potential for executing arbitrary shell commands, which is a significant security risk. However, there are no signs of obfuscation, network activity, or credential theft, reducing other types of risks.

High shell execution risk
Limited maintainer information

Per-check LLM notes

Network: No network calls detected, indicating low risk for C2 communications or data exfiltration via network.
Shell: Detected patterns suggest potential for executing arbitrary shell commands, which could be used for malicious purposes if the inputs are not properly sanitized.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package is new with limited information about the maintainer, which raises some suspicion but does not definitively indicate malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

ches (``python -c "import os; os.system('rm -rf /')"``), base64 / hex / printf smuggling (``eval
False try: out = subprocess.run( # noqa: S603 # nosec B603 - argv is built from trusted bi
ry name kwarg, not subprocess shell=True ) self._session = ShellSession(

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: microsoft.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository microsoft/agent-framework appears legitimate

⚠ Maintainer History score 6.0

3 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)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agent-framework-tools

Develop a mini-application called 'AgentShellManager' that leverages the 'agent-framework-tools' package to manage and interact with local agents in a more user-friendly way. This application will serve as a command-line interface (CLI) tool that allows users to create, start, stop, and delete agents locally, as well as view their statuses and logs. Additionally, it will provide a simple way to configure agent settings and run custom commands within the agents' environments.

### Core Features:
1. **Agent Management**: Users should be able to create new agents, start them, stop them, and delete them. Each action should be accompanied by appropriate feedback messages.
2. **Status Checking**: Implement a feature to check the current status of all running agents and display it in a human-readable format.
3. **Log Viewing**: Provide functionality to view logs from any running agent. Logs should be displayed in real-time if possible.
4. **Configuration Settings**: Allow users to set and modify configuration parameters for agents, such as environment variables or specific settings files.
5. **Custom Commands**: Enable users to execute custom commands within the context of an agent's environment.

### Utilizing 'agent-framework-tools':
- Use the 'local_shell' module from the 'agent-framework-tools' package to interact with the agents locally. This includes executing commands, managing processes, and handling I/O operations efficiently.
- Leverage other built-in functionalities provided by the package to streamline the development process and ensure compatibility with different types of agents.

### Additional Suggestions:
- Consider implementing a help command that provides usage instructions and lists available commands.
- Add error handling to gracefully manage unexpected situations and provide informative error messages.
- Explore integrating with a database or file system to persistently store agent configurations and logs, enhancing the utility of the application over time.