🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network usage, shell execution, obfuscation, and credential harvesting. However, the low maintainer activity and lack of detailed metadata raise concerns about its legitimacy and long-term support.

Low maintainer activity and sparse metadata
No detected high-risk behaviors

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communications.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low maintainer activity and lacks detailed metadata, raising concerns about its legitimacy and maintenance efforts.

🔬 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

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 6.0

3 maintainer concern(s) found

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 ag-client

Your task is to develop a command-line tool named 'ClaudeCodeOrchestrator' using Python's 'ag-client' package. This tool will serve as a simple yet powerful interface to interact with Aegis, an orchestration middleware designed for managing workflows and tasks in Claude Code environments. The tool should allow users to submit, monitor, and manage tasks through a straightforward CLI interface.

### Core Features:
1. **Task Submission:** Users should be able to submit new tasks to Aegis. Tasks can include details such as task name, description, parameters, and execution environment specifications.
2. **Task Monitoring:** Provide real-time status updates on submitted tasks. Users should be able to check if their tasks are pending, running, succeeded, or failed.
3. **Task Management:** Implement functionalities to cancel ongoing tasks, retry failed tasks, and delete completed tasks.
4. **Configuration Management:** Allow users to configure their Aegis client settings, including API keys, endpoints, and other necessary configurations.
5. **Logging & Reporting:** Integrate logging capabilities to record all interactions and operations performed through the CLI. Additionally, generate reports on task performance and system health.

### Utilization of 'ag-client':
- Use 'ag-client' to establish connections with Aegis services.
- Leverage its APIs to handle task submission, retrieval, and cancellation.
- Implement error handling mechanisms provided by 'ag-client' to ensure robustness.
- Utilize 'ag-client' documentation and examples to enhance your understanding and application of its features.

### Additional Suggestions:
- Consider adding support for scheduling tasks at specific times or intervals.
- Explore integrating a user-friendly help system within the CLI to guide users through various commands and options.
- Enhance the tool with advanced analytics to provide deeper insights into task performance and resource utilization.

This project aims to create a versatile and user-friendly CLI tool that simplifies interaction with Aegis, making it easier for developers to manage complex workflows and tasks within Claude Code environments.