AI Analysis
The package shows minimal signs of potential malicious activity. It is part of a legitimate project and its network, shell, obfuscation, and credential risks are all low.
- Network risk is moderate due to external service interactions.
- No shell execution or credential harvesting was detected.
Per-check LLM notes
- Network: The observed network calls are typical for packages that interact with external services, but their legitimacy depends on the package's intended functionality.
- Shell: No shell execution patterns were detected.
- Obfuscation: The use of base64 decoding for keys is common in cryptographic operations and does not necessarily indicate malicious activity.
- Credentials: No patterns indicative of credential harvesting were detected.
- Metadata: The author has only one package, which might indicate a new or less active account.
Package Quality Overall: Medium (6.8/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://github.com/microsoft/agent-governance-toolkit#readmeDetailed PyPI description (6967 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: Typed86 type-annotated function signatures detected in source
Active multi-contributor project
14 unique contributor(s) across 100 commits in microsoft/agent-governance-toolkitActive community — 5 or more distinct contributors
Heuristic Checks
Found 4 network call pattern(s)
tch the manifest with httpx.Client(timeout=timeout) as client: if verbose and not otry: async with httpx.AsyncClient() as client: response = await client.post(try: async with httpx.AsyncClient() as client: response = await client.post(y: async with httpx.AsyncClient() as client: response = await client.pos
Found 3 obfuscation pattern(s)
try: key_bytes = base64.b64decode(raw_key) public_key_obj = Ed25519PublicKey.from_signature_bytes = base64.b64decode(attestation.signature) public_key_obj.verify(sig: key_bytes = base64.b64decode(private_key) private_key_obj = Ed25519Privat
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: microsoft.com>
All external links appear legitimate
Repository microsoft/agent-governance-toolkit appears legitimate
1 maintainer concern(s) found
Author "Microsoft Corporation" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application that simulates a network of autonomous agents communicating with each other using the Inter-Agent Trust Protocol (IATP). This protocol, provided by the 'agentmesh-trust-protocol' package, ensures secure and reliable communication between agents, preventing cascading errors or hallucinations in their interactions. Your task is to develop a simple chat application where multiple agents can exchange messages, but only those messages that pass through the IATP validation process will be accepted. Here are the steps and features to consider: 1. **Setup**: Begin by installing the 'agentmesh-trust-protocol' package and setting up your development environment. 2. **Agent Creation**: Define different types of agents (e.g., UserAgent, AdminAgent) each with unique capabilities and responsibilities within the network. 3. **Message Exchange**: Implement a feature allowing these agents to send messages to one another. Messages must include metadata such as sender ID, recipient ID, and timestamp. 4. **Validation Process**: Use the 'agentmesh-trust-protocol' to validate messages before they're processed. Ensure that only messages passing validation are delivered. 5. **Error Handling**: Implement error handling mechanisms to deal with invalid messages or failed validations gracefully. 6. **Logging**: Include logging functionality to track message exchanges and validation outcomes. 7. **User Interface**: Develop a basic command-line interface (CLI) for users to interact with the network of agents, sending messages and monitoring the validation process. 8. **Security Enhancements**: Optionally, explore ways to enhance security further, such as implementing encryption for message content. This project aims to demonstrate the practical application of the 'agentmesh-trust-protocol' in ensuring robust and secure communication within a network of autonomous agents.