AI Analysis
The package has legitimate-looking functionalities but concerns arise from its metadata indicating it's newly created with no maintainer history.
- Metadata risk score is high at 6/10
- Lack of maintainer history
Per-check LLM notes
- Network: The presence of network calls is likely legitimate if the package interacts with remote services.
- Shell: No shell execution patterns detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of being newly created and lacks maintainer history, which raises concerns about its legitimacy.
Package Quality Overall: Low (3.8/10)
Partial test coverage signals detected
2 test file(s) detected (e.g. test_blockchain.py)
Some documentation present
Detailed PyPI description (2672 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
3 type-annotated function signatures (partial)
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Found 1 network call pattern(s)
return client = httpx.Client(timeout=5.0, headers=self.headers) while self._runni
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: axiom.ai>
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
3 maintainer concern(s) found
Only one version has ever been released β 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 mini-application that allows users to control and monitor a simulated robot using the 'axiom-robot-sdk' Python package. This application will serve as a trust layer for physical AI, ensuring that all actions performed by the robot are recorded immutably on a blockchain-like structure provided by Axiom. Hereβs a detailed breakdown of the application requirements: 1. **Setup**: Begin by installing the 'axiom-robot-sdk' package and setting up a local development environment. Ensure you have a basic understanding of blockchain principles and how they apply to recording robot actions. 2. **Robot Simulation**: Use a simple simulated robot environment (like Pygame or a similar library) where the robot can move around a grid. The robot's movements should be controllable via keyboard inputs or mouse clicks. 3. **Action Recording**: Every time the robot moves or performs any action within the simulation, use the 'axiom-robot-sdk' to record these actions immutably. This includes details such as the timestamp of the action, the type of action (e.g., move left, move right), and the new position of the robot after the action. 4. **Blockchain Visualization**: Implement a feature that visualizes the recorded actions on a simplified blockchain-like structure. Users should be able to see each block containing the details of the robot's actions, proving that these actions were indeed performed and cannot be altered. 5. **Security Features**: Integrate security measures to ensure that the recorded actions cannot be tampered with once they are added to the chain. This could involve digital signatures or other cryptographic techniques supported by 'axiom-robot-sdk'. 6. **User Interface**: Develop a user-friendly interface that allows users to interact with the robot, view its current status, and explore the history of its actions recorded on the blockchain. 7. **Testing and Documentation**: Thoroughly test the application to ensure all features work as expected. Provide clear documentation detailing how the application was built, how it works, and how to run it. By completing this project, you'll gain valuable experience in integrating blockchain technology into real-world applications, specifically in the realm of robotics and AI.
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