AI Analysis
The package appears to be legitimate with no signs of malicious activities. However, there are minor concerns regarding network and metadata risks that suggest potential maintenance issues or less secure communication practices.
- network risk due to HTTP client usage
- low maintainer engagement indicated by metadata
Per-check LLM notes
- Network: The use of an HTTP client suggests the package communicates with external services, which is common but should be reviewed for legitimacy and security practices.
- Shell: No shell execution patterns were detected, indicating no immediate risk from this aspect.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating secure handling of sensitive information.
- Metadata: The package shows some signs of low maintainer engagement but does not indicate malicious activity.
Package Quality Overall: Low (4.8/10)
Partial test coverage signals detected
1 test file(s) detected (e.g. test_provider.py)
Some documentation present
Detailed PyPI description (2540 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
8 type-annotated function signatures (partial)
Limited contributor diversity
2 unique contributor(s) across 100 commits in creatorrmode-lead/avp-sdkTwo distinct contributors found
Heuristic Checks
Found 1 network call pattern(s)
eshold self._client = httpx.AsyncClient(timeout=timeout) def _resolve_did(self, agent_id: str)
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository creatorrmode-lead/avp-sdk appears legitimate
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application that integrates the 'avp_agentmesh' package to demonstrate the power of the Agent Veil Protocol within a trust engine context. This application will serve as a basic yet comprehensive example of how to leverage 'avp_agentmesh' for establishing secure, trust-based interactions between agents in a decentralized network environment. The application should include the following core functionalities: 1. **Agent Registration**: Users should be able to register their agents within the system. Each agent will be uniquely identified and associated with specific attributes such as name, role, and permissions. 2. **Trust Establishment**: Implement a mechanism for agents to establish trust relationships with each other. This involves using the Agent Veil Protocol to verify identities and ensure that communications are secured and authenticated. 3. **Secure Communication**: Enable agents to communicate securely with one another once trust has been established. Messages sent between agents must be encrypted and only accessible to intended recipients. 4. **Audit Log**: Maintain an audit log of all actions performed by agents, including registration, trust establishment, and communication attempts. This log will help in monitoring and verifying the integrity of the system. 5. **User Interface**: Develop a simple command-line interface (CLI) or a web-based front-end that allows users to interact with the application easily. The UI should provide options for registering agents, viewing trust relationships, sending messages, and reviewing logs. How 'avp_agentmesh' is Utilized: - **Registration**: Use 'avp_agentmesh' to generate unique identifiers and cryptographic keys for each agent during the registration process. - **Trust Establishment**: Leverage the trust engine capabilities provided by 'avp_agentmesh' to facilitate the verification and validation of agent identities when establishing trust relationships. - **Communication**: Employ the secure communication protocols supported by 'avp_agentmesh' to encrypt and decrypt messages exchanged between trusted agents. - **Logging**: Integrate with the logging facilities offered by 'avp_agentmesh' to record all significant events within the system, ensuring transparency and accountability.
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