AI Analysis
Final verdict: SUSPICIOUS
The package shows no immediate signs of malicious activity, but the incomplete author information and the maintainer's single package raise concerns about potential supply-chain risks.
- Incomplete author information
- Maintainer has only one package
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, reducing risk of command injection or unauthorized access.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author information is incomplete and the maintainer has only one package, which may indicate a less experienced or potentially suspicious account.
Package Quality Overall: Low (4.6/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
7.0
Some documentation present
Documentation URL: "documentation" -> https://wyhwong.github.io/archeo/Detailed PyPI description (6724 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
98 type-annotated function signatures detected in source
✦ High
Multiple Contributors
8.0
Active multi-contributor project
3 unique contributor(s) across 100 commits in wyhwong/archeoSmall but multi-author team (3–4 contributors)
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: link.cuhk.edu.hk>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository wyhwong/archeo appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with archeo
Create a mini-application using the 'archeo' package that simulates the inference process of natal kicks, ancestral masses, and spins of black holes within a galaxy cluster. This application should allow users to input various parameters such as the number of black holes, initial mass distribution, and other relevant astrophysical conditions. The app will then use the Bayesian framework provided by 'archeo' to simulate the evolution of these black holes over time, including their potential ejection from the galaxy due to natal kicks. Key Features: - User interface for parameter input (number of black holes, initial mass range, spin values, etc.). - Visualization of the simulated black hole population at different stages of their lifecycle. - Interactive charts showing the inferred natal kicks, masses, and spins. - Export options for simulation results (CSV, JSON). The 'archeo' package will be utilized primarily for its Bayesian inference capabilities to estimate the posterior distributions of natal kicks, ancestral masses, and spins based on the user-defined initial conditions. Additionally, the package will provide the necessary statistical models and sampling methods required for the simulations.