🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to its obfuscation and metadata risks, but lacks clear evidence of malicious intent such as network or shell risks.

Obfuscation risk of 7/10
Metadata risk of 6/10

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no direct system command execution.
Obfuscation: The presence of obfuscated text suggests potential code obfuscation which may hide malicious activities.
Credentials: No clear patterns indicative of credential harvesting were found.
Metadata: The package shows signs of being potentially malicious due to its newness, lack of maintainer history, and sparse repository details.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

n Hermes held-out in our LOSO eval (see router/eval/baseline_loso_descriptions.py); for

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: users.noreply.github.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ 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-tool-router

Your task is to develop a command-line utility named 'TaskMaster' that helps users automate and manage their daily tasks more efficiently. This utility will use the 'agent-tool-router' package to intelligently select the best tools from a predefined set of utilities based on the user's input and the nature of the task at hand. Here’s how you can build it step-by-step:

1. **Setup Environment**: Start by setting up your Python environment. Ensure you have Python installed, then install the 'agent-tool-router' package along with any other necessary packages such as argparse for command-line argument parsing.

2. **Define Tasks and Tools**: Create a list of common tasks that users might want to perform (e.g., sending emails, scheduling meetings, writing reports). For each task, define a set of tools that could potentially be used to accomplish it. These tools could be simple scripts or external applications.

3. **Integrate 'agent-tool-router'**: Use the 'agent-tool-router' package to create a routing system that selects the most appropriate tool for each task based on factors like the task's complexity, the time available, and the user's preferences.

4. **User Interface**: Develop a simple command-line interface where users can input their tasks. The interface should allow users to describe their tasks in natural language or choose from a predefined list of tasks.

5. **Tool Execution**: Once the appropriate tool is selected, TaskMaster should execute the chosen tool and provide feedback to the user about the progress and completion status of the task.

6. **Feedback Loop**: Implement a mechanism for users to rate the effectiveness of the selected tool after the task is completed. This feedback should be used to improve the routing algorithm over time.

7. **Testing and Documentation**: Thoroughly test TaskMaster to ensure it works as expected. Document the installation process, usage instructions, and any limitations or caveats.

**Suggested Features**:
- Allow users to add custom tasks and tools.
- Provide an option to view the history of tasks and the tools used.
- Include a feature to suggest tasks based on the time of day or day of the week.
- Enable users to configure preferences for different scenarios (e.g., work vs. personal).

By following these steps and utilizing the 'agent-tool-router' package effectively, you'll create a versatile and user-friendly tool that enhances productivity and simplifies task management.