amsa-ga

v0.2.3 suspicious
5.0
Medium Risk

Clifford algebra library with primitives for robotics, engineering, and science.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows significant obfuscation risk due to the use of eval(), which could allow for code injection. However, other risks are low, suggesting it may not be malicious but requires closer scrutiny.

  • High obfuscation risk due to eval()
  • Low activity from the maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: The use of eval() with dynamic expressions and contexts suggests potential code injection risks.
  • Credentials: No direct signs of credential harvesting were found.
  • Metadata: The maintainer seems new or inactive, and the repository lacks community engagement.

📦 Package Quality Overall: Medium (6.4/10)

✦ High Test Suite 9.0

Test suite present — 8 test file(s) found

  • Test runner config found: pyproject.toml
  • 8 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 7.0

Some documentation present

  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (11934 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 430 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in sunkmechie/AMSA
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • xt, context) result = eval(expression, context, context) if not isinstance(result,
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Surya Sunkara" 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 amsa-ga 
Develop a Python-based mini-application named 'RoboticsSimulator' that leverages the 'amsa-ga' package to simulate and visualize robotic arm movements in a 3D space. This application will serve as an educational tool to help users understand the principles of robotics, particularly focusing on kinematics and dynamics using Clifford algebra.

Step 1: Initialize the Project
- Create a new Python virtual environment and install necessary packages including 'amsa-ga', 'matplotlib' for plotting, and 'pythreejs' for 3D visualization.

Step 2: Define Robotic Arm Structure
- Use 'amsa-ga' to define the structure of a simple robotic arm with at least three joints. Each joint will have its own rotation capabilities defined using Clifford algebra primitives provided by 'amsa-ga'.

Step 3: Implement Kinematic Calculations
- Develop functions within your application to calculate forward and inverse kinematics using 'amsa-ga'. These calculations will determine the position of the end-effector given joint angles and vice versa.

Step 4: Visualization and Interaction
- Integrate 'pythreejs' to create an interactive 3D model of the robotic arm. Users should be able to manipulate the joint angles through sliders or direct input, and observe changes in the arm's configuration in real-time.

Step 5: Add Dynamic Features
- Incorporate basic dynamic features such as gravity and friction using 'amsa-ga'. Allow users to experiment with different parameters affecting the arm's movement and stability.

Suggested Features:
- Save and load robotic arm configurations.
- Export simulation data for further analysis.
- Provide explanations and visual aids for key concepts like Denavit-Hartenberg parameters.

How 'amsa-ga' is Utilized:
- The core functionalities of 'amsa-ga', especially its ability to handle geometric algebra operations, will be crucial in defining and manipulating the robotic arm's structure and movements. Functions for calculating rotations, translations, and transformations will be based on these operations.

💬 Discussion Feed

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