AI Analysis
Final verdict: SUSPICIOUS
The package exhibits a high level of code obfuscation, which raises concerns about its transparency and potential for hiding malicious behavior. However, there are no direct indications of malicious activities such as network calls or shell executions.
- High obfuscation risk
- Low network and shell risks
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system command execution.
- Obfuscation: The obfuscation pattern observed is indicative of attempts to hide code logic, potentially to evade detection or analysis.
- Credentials: No clear patterns of credential harvesting are present.
- Metadata: The package shows low maintenance effort and the author may be new or inactive, but there are no clear signs of malicious intent.
Package Quality Overall: Medium (6.6/10)
✦ High
Test Suite
9.0
Test suite present — 3 test file(s) found
Test runner config found: pyproject.toml3 test file(s) detected (e.g. test_cfilter.py)
✦ High
Documentation
9.0
Well-documented package
Documentation URL: "Documentation" -> https://pinetreelabs.github.io/archimedes/20 documentation file(s) (e.g. conf.py)Detailed PyPI description (10043 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
7.0
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project181 type-annotated function signatures detected in source
◈ Medium
Multiple Contributors
6.0
Limited contributor diversity
2 unique contributor(s) across 100 commits in pinetreelabs/archimedesTwo distinct contributors found
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 4.0
Found 2 obfuscation pattern(s)
luate numerically def eval(self, dm_arg): # Here cb_args is a list with a s) return getattr(__import__("archimedes.spatial", fromlist=[name]), name) raise AttributeError(f"module {__name__!r} has n
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: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository pinetreelabs/archimedes appears legitimate
Maintainer History
score 6.0
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with archimedes
Create a small but comprehensive application using the 'archimedes' Python package to simulate and control a simple robotic arm. This robotic arm will have two joints and should be capable of moving to specific coordinates within a defined workspace. The application should include the following components: 1. **Modeling**: Define the kinematic model of the robotic arm, including joint angles and link lengths. 2. **Simulation**: Implement a real-time graphical simulation of the robotic arm's movement based on user input or predefined paths. 3. **Control**: Develop a basic control algorithm (such as PID control) to move the robotic arm to a target position smoothly. 4. **User Interface**: Create a simple GUI that allows users to input target positions and visualize the robotic arm's movements. 5. **Documentation**: Provide clear documentation explaining how each part of the application works and how it leverages the 'archimedes' package. The application should demonstrate the core functionalities of 'archimedes', such as defining and manipulating models, integrating simulations, and implementing control strategies. Additionally, ensure that the code is well-structured and reusable, showcasing best practices in Python development.
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