🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network, shell, obfuscation, and credential handling but has a higher metadata risk due to its recent creation and limited maintainer activity.

metadata risk of 6/10
newly created with limited maintainer activity

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communications.
Shell: No shell execution patterns detected, indicating no immediate signs of malicious activities such as command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting secure handling of secrets.
Metadata: The package shows signs of being newly created with limited maintainer activity, which raises suspicion.

🔬 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

Email domain looks legitimate: meok.ai>

✓ 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-incident-relay-mcp

Develop a real-time compliance monitoring tool named 'ComplianceGuard' using Python and the 'agent-incident-relay-mcp' package. This tool will help organizations ensure they are adhering to multiple regulatory requirements related to data breaches and security incidents as mandated by EU AI Act Art 73, DORA Art 19, NIS2 Art 23, GDPR Art 33, and ISO 42001 cl 10.1. The application should have the following functionalities:

1. **Incident Detection Module**: Implement a module that monitors the organization's IT systems for signs of security breaches or incidents. Upon detection, it should trigger the reporting process.

2. **Automated Reporting System**: Utilize the 'agent-incident-relay-mcp' package to automatically generate and submit reports to the relevant regulatory bodies as per the specified laws and standards. Ensure that the reports are formatted correctly and signed appropriately.

3. **Dashboard Interface**: Create a user-friendly dashboard where administrators can view the status of reported incidents, see compliance summaries, and manage settings related to incident thresholds and notification preferences.

4. **Notification Mechanism**: Integrate a system that sends alerts via email or SMS to key personnel when an incident is detected or a report has been successfully submitted.

5. **Audit Log**: Maintain an audit log of all incidents, reports, and actions taken within the ComplianceGuard system for future reference and compliance checks.

6. **Customization Options**: Allow users to customize the tool according to their specific needs, such as adjusting the severity levels for different types of incidents or specifying additional recipients for notifications.

The 'agent-incident-relay-mcp' package will play a crucial role in automating the reporting process, ensuring that all necessary information is relayed accurately and securely to the appropriate authorities. Your task is to design and implement this tool from scratch, including setting up the environment, integrating the package, and building out each feature described above.