AI Analysis
Final verdict: SUSPICIOUS
The package shows some signs of potential misuse, particularly concerning shell execution which needs more scrutiny. However, there are no immediate indications of malicious activities.
- Shell execution detected
- Low repository activity and single contributor
Per-check LLM notes
- Network: No network calls detected, which is normal and not indicative of malicious activity.
- Shell: Shell execution detected might be for legitimate purposes like converting graph to JSON format, but requires further investigation to ensure it's not being used for unintended operations.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository's low activity and single contributor suggest potential risks, indicative of possible malicious intent or a newly compromised account.
Package Quality Overall: Low (4.6/10)
✦ High
Test Suite
9.0
Test suite present — 9 test file(s) found
Test runner config found: pyproject.toml9 test file(s) detected (e.g. test_animate.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (1488 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
166 type-annotated function signatures detected in source
○ Low
Multiple Contributors
2.0
Single-author or unverifiable project
1 unique contributor(s) across 1 commits in pavelsimo/arielSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 2.0
Found 1 shell execution pattern(s)
= _to_dot(graph) result = subprocess.run( [dot_bin, "-Tjson"], input=dot_src,
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 7.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forksVery few commits: 1 totalSingle contributor with only 1 commit(s) — possibly throwaway account
Maintainer History
score 4.0
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "pavelsimo" 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 ariel-mermaid
Create a Python-based mini-application that allows users to input Mermaid diagram code and automatically generates animated videos from these diagrams using the 'ariel-mermaid' package. The application should include a simple GUI where users can paste their Mermaid diagram code and select options such as animation speed, color themes, and output video format. Upon clicking a 'Generate Video' button, the application should use 'ariel-mermaid' to convert the provided Mermaid diagram into an animated video and save it locally or allow downloading. Additionally, implement a feature to preview the final video before saving it. Ensure the application handles errors gracefully, such as invalid Mermaid code, and provides useful feedback to the user.