AI Analysis
The package angorapay v0.1.0 has minimal risks associated with network usage, shell execution, and code obfuscation. However, the metadata risk score suggests some caution due to low activity and poor metadata management.
- Low network risk
- No shell execution detected
- Metadata quality concerns
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell execution patterns detected, indicating no immediate risk of executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
- Metadata: The package shows signs of low activity and poor metadata management, which may indicate a lack of community support or developer engagement.
Package Quality Overall: Low (4.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (1822 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
17 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 100 commits in othnielObasi/angorapay-meshSmall but multi-author team (3–4 contributors)
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
No author email provided
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "AngoraPay Mesh" 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
Your task is to create a mini-application called 'AngoraPay Receipt Manager' which will serve as a user-friendly interface for managing transactions processed through the AngoraPay Mesh market-agent service. This application will utilize the Python package 'angorapay' to interact with the AngoraPay API and provide users with the ability to route services, manage receipts, and perform reconciliation tasks. Here are the key steps and features your application should include: 1. **User Authentication**: Implement a simple login system where users can authenticate using their AngoraPay credentials. Once logged in, they should have access to their transaction data. 2. **Service Routing Interface**: Develop an interface where users can input details of the services they wish to route through AngoraPay. This includes selecting the type of service, specifying the recipient, and setting any necessary parameters. 3. **Receipt Management**: Allow users to view and download receipts for completed transactions. Each receipt should include all relevant information such as transaction ID, amount, date, and status. 4. **Reconciliation Tool**: Provide a tool for users to reconcile their transactions against their own records. Users should be able to upload a CSV file containing their transaction data and compare it against the AngoraPay receipts. 5. **Transaction History**: Create a dashboard that displays a history of all transactions processed through the application, including details like transaction status, amount, and date. 6. **Notifications**: Set up a notification system to alert users via email about important events such as successful transactions, failed attempts, and discrepancies found during reconciliation. To achieve these functionalities, you'll need to use the 'angorapay' package to handle communication with the AngoraPay API. Specifically, you'll leverage its capabilities for service routing, receipt fetching, and reconciliation processes. Ensure that the application is designed with security in mind, especially when handling sensitive information such as user credentials and financial data.
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