AI Analysis
The package shows minimal risk indicators such as no network calls or shell executions. However, the metadata risk score is elevated due to low maintainer history and insufficient details, raising suspicion about its legitimacy.
- Metadata risk score of 7 out of 10 due to repository's recent activity pattern and lack of detailed maintainer history.
- No other significant risks detected.
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external API interactions.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, suggesting legitimate use without risk of code hiding.
- Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
- Metadata: The repository's recent activity pattern, low maintainer history, and lack of details raise concerns about potential malicious intent.
Package Quality Overall: Low (4.4/10)
Partial test coverage signals detected
1 test file(s) detected (e.g. test_client.py)
Some documentation present
Documentation URL: "Documentation" -> https://avp-protocol.onrender.com/docsDetailed PyPI description (3712 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
12 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 9 commits in ABICITYE/avp-protocolSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forksAll 9 commits happened within 24 hours
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a fully-functional mini-application that utilizes the 'avp-wallet-sdk' Python package to create a user-friendly interface for managing and evaluating trust scores of wallets across multiple blockchain networks. Your application should allow users to input their wallet addresses from various chains (e.g., Ethereum, Binance Smart Chain), and then fetch and display their trust scores based on the AVP Agent Verification Protocol. Step-by-step guide: 1. Set up a basic Flask web framework to serve as the backend for your application. 2. Integrate the 'avp-wallet-sdk' package into your project by installing it via pip. 3. Create a RESTful API endpoint that accepts POST requests containing wallet addresses. 4. Within the API endpoint, use the 'avp-wallet-sdk' to query the trust score for each provided wallet address. 5. Design a simple front-end using HTML/CSS/JavaScript to interact with the backend API. 6. Implement form validation on the front-end to ensure only valid wallet addresses are submitted. 7. Display the fetched trust scores in a readable format, along with any additional information provided by the SDK such as verification status or recent activity. 8. Add error handling to manage cases where a wallet address is invalid or not supported by the protocol. 9. Consider implementing caching mechanisms to improve performance when fetching scores for frequently requested wallets. 10. Finally, document your code thoroughly and include instructions on setting up the environment and running the application.
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