AI Analysis
The package has a moderate risk score due to potential typosquatting targeting 'yaml'. While there are no direct signs of malicious activity such as network calls or shell execution, the metadata risk warrants further investigation.
- Potential typosquatting targeting 'yaml'
- Maintainer may be new or less active
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communication.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The package shows some signs of potential typosquatting and the maintainer may be new or less active.
- ⚠ Typosquatting target: yaml
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (2657 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project
Limited contributor diversity
2 unique contributor(s) across 21 commits in JanWiszniowski/amwTwo distinct contributors found
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
Possible typosquat of: yaml, arq, amqp
"amw" is 2 edit(s) from "yaml""amw" is 2 edit(s) from "arq""amw" is 2 edit(s) from "amqp"
Email domain looks legitimate: igf.edu.pl
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
1 maintainer concern(s) found
Author "Jan Wiszniowski" 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 real-time earthquake monitoring system using the Python package 'amw'. This system will estimate the moment magnitude of earthquakes based on seismic wave data (P, S, or both). The goal is to create a web-based application where users can input seismic wave data (either manually or through an API integration with a seismic network) and receive an estimated moment magnitude along with other relevant information about the earthquake event. Key Features: 1. User Interface: A simple, intuitive interface allowing users to input seismic wave data (amplitude, frequency, etc.). 2. Data Input: Users can either manually enter data or connect to a seismic network API to automatically pull in recent seismic events. 3. Moment Magnitude Estimation: Utilize the 'amw' package to process the input data and estimate the moment magnitude of the earthquake. 4. Additional Information: Provide supplementary details such as the estimated time of the earthquake, location (if available), and a brief explanation of the moment magnitude scale. 5. Visualization: Include visual representations of the seismic waves and the estimated moment magnitude on a map or graph. 6. Notifications: Implement a feature to notify users via email or SMS if the estimated magnitude exceeds a certain threshold. How to Use 'amw': - Import the 'amw' package and use its functions to analyze the input seismic wave data. - Apply the appropriate method from 'amw' to calculate the moment magnitude based on the type of seismic waves provided. - Ensure that the application can handle different types of input data formats and provide accurate estimations accordingly.
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