agentauditai-sdk

v1.0.0 safe
3.0
Low Risk

On-chain EU AI Act compliance SDK for AI agents — immutable audit logs, KYA registration, incident reporting, post-market monitoring.

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across all categories checked. It has a moderate metadata risk due to being newly created but lacks any other significant red flags such as obfuscation, credential harvesting, or shell execution.

  • moderate metadata risk
  • newly created package
Per-check LLM notes
  • Network: The network call pattern is typical for a SDK that likely communicates with an API server to perform its functions.
  • Shell: No shell execution patterns detected, indicating no immediate risk from this aspect.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package appears to be newly created with limited activity and no suspicious links or domains detected.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • meout self._session = requests.Session() self._session.headers.update({ "Author
✓ 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

Repository agentauditAI/AgentAudit appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "agentauditAI" 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 agentauditai-sdk 
Create a mini-application named 'AIComplianceMonitor' that leverages the 'agentauditai-sdk' package to ensure compliance with the European Union's AI Act for AI agents. This application will serve as a tool for developers to register their AI agents, log immutable audit trails, report incidents, and perform post-market monitoring. Here’s a detailed breakdown of the project steps and features:

1. **Project Setup**: Begin by setting up a new Python environment and installing the 'agentauditai-sdk'. Ensure you have access to an Ethereum testnet for on-chain operations.
2. **User Registration**: Develop a feature where users can register their AI agents. Utilize the 'agentauditai-sdk' to create an immutable KYA (Know Your Agent) registration process on the blockchain.
3. **Audit Logs**: Implement a system that automatically logs all actions performed by the AI agent onto the blockchain using the 'agentauditai-sdk'. These logs should be immutable and timestamped.
4. **Incident Reporting**: Create a mechanism for users to report any incidents related to their AI agents. Use the 'agentauditai-sdk' to ensure these reports are securely stored and accessible on the blockchain.
5. **Post-Market Monitoring**: Build functionality that allows for continuous monitoring of AI agent performance post-deployment. Integrate 'agentauditai-sdk' features to collect and analyze data from the blockchain for compliance checks.
6. **Dashboard**: Design a user-friendly dashboard where users can view their AI agent's compliance status, audit logs, and incident reports. Use the 'agentauditai-sdk' APIs to fetch and display relevant data.
7. **Security and Privacy**: Ensure that all data handling complies with GDPR and other relevant privacy laws. Leverage the security features provided by 'agentauditai-sdk' to protect user information.
8. **Documentation and Testing**: Provide comprehensive documentation and thorough testing for the application, including integration tests with 'agentauditai-sdk'.

By following these steps and utilizing the 'agentauditai-sdk', your application will not only streamline compliance processes but also enhance transparency and accountability for AI agents.