AI Analysis
The package exhibits some concerning metadata risks such as a lack of maintainer history and minimal repository engagement, suggesting potential issues with transparency and accountability.
- metadata risk of 6/10
- lack of maintainer history
- minimal repository engagement
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 signs of executing system commands.
- Obfuscation: Base64 decoding is commonly used for data encoding and not necessarily indicative of malicious activity.
- Credentials: No patterns indicating credential harvesting were detected.
- Metadata: The package shows several red flags including lack of maintainer history, minimal repository engagement, and a new account with limited activity.
Package Quality Overall: Medium (5.0/10)
Test suite present — 2 test file(s) found
Test runner config found: pyproject.toml2 test file(s) detected (e.g. test_agent.py)
Some documentation present
Detailed PyPI description (4210 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
11 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 6 commits in chopmob-cloud/algovoi-reference-agentSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
b64: expected_bytes = base64.b64decode(expected_b64) assert actual_bytes == expected_bytes,
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 forks
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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
Create a Python-based mini-application that integrates with the 'algovoi-reference-agent' package to facilitate the creation and verification of settlement attestations for transactions on the Base chain. This application will serve as a proof-of-concept for developers looking to understand and implement AlgoVoi's substrate discipline in their projects. Here are the steps and features your application should include: 1. **Setup Environment**: Ensure your environment is set up with Python and the necessary dependencies, including the 'algovoi-reference-agent'. You may also need to install other libraries like requests and web3.py for interacting with the Base chain. 2. **Transaction Simulation**: Develop a feature where users can simulate sending a transaction on the Base chain. This feature should generate a mock transaction object, which will later be used to emit a settlement attestation. 3. **Attestation Emission**: Utilize the 'algovoi-reference-agent' package to emit a settlement attestation-v1 receipt for the simulated transaction. This involves setting up the agent with the required configuration parameters and calling the appropriate function from the package to generate the attestation. 4. **Verification Process**: Implement a verification process where the emitted attestation can be checked against the original transaction data. This ensures the integrity and authenticity of the attestation. 5. **User Interface**: Design a simple user interface using a library like Flask to allow users to interact with the application. Users should be able to initiate a transaction simulation, view the emitted attestation, and verify its validity. 6. **Documentation and Testing**: Provide comprehensive documentation detailing the setup process, usage instructions, and any assumptions made during development. Additionally, write tests to ensure the application functions correctly under various scenarios. Suggested Features: - Integration with real-time blockchain events for live transaction tracking. - Support for multiple blockchain networks beyond just the Base chain. - Enhanced security measures for handling sensitive information. - Detailed logging and error handling mechanisms. By completing these steps, you'll have developed a fully-functional mini-app that not only demonstrates the capabilities of the 'algovoi-reference-agent' package but also serves as a valuable resource for developers interested in integrating similar functionalities into their own projects.
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