🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks associated with it, showing no signs of network activity, shell execution, or obfuscation. While there are some concerns regarding the metadata, these alone do not indicate malicious intent.

Low risk scores across all technical categories
New account and incomplete author information raise minor concerns

Per-check LLM notes

Network: No network calls detected, which is normal for a package not requiring external services.
Shell: No shell execution patterns detected, indicating the package does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some red flags such as an author with missing information and a new account, but there are no clear signs of typosquatting or malicious intent.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

1 test file(s) detected (e.g. __init__.py)

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://tayra-sakurai.github.io/appliedchemlabwork-tayra
Detailed PyPI description (966 chars)

○ Low Contributing Guide 4.0

No contributing guide or governance files found

Development Status classifier >= Beta

◈ Medium Type Annotations 5.0

Partial type annotation coverage

23 type-annotated function signatures detected in source

◈ Medium Multiple Contributors 6.0

Limited contributor diversity

2 unique contributor(s) across 52 commits in Tayra-Sakurai/appliedchemlabwork-tayra
Two distinct contributors found

🔬 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: icloud.com>

✓ 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 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 appliedchemlabwork-tayra

Create a mini-application for students enrolled in the Applied Chemistry Laboratory Work course at Kyoto Institute of Technology. This application should serve as a comprehensive tool for analyzing experimental data collected during lab sessions. The app will utilize the 'appliedchemlabwork-tayra' Python package, which is specifically designed to support the needs of this course. Here’s a detailed breakdown of what the application should achieve:

1. **Data Import**: Allow users to upload experimental data from their lab sessions. The data should be structured in a format compatible with CSV files.
2. **Data Analysis**: Use 'appliedchemlabwork-tayra' to perform key analyses on the imported data. This includes calculating concentrations, reaction rates, and other chemical properties relevant to the course.
3. **Visualization**: Implement visualization tools to help students better understand their results. Graphs and charts should display trends and patterns within the data.
4. **Report Generation**: Enable the creation of detailed reports summarizing the analysis. These reports should include tables, graphs, and explanations of the findings.
5. **Educational Resources**: Provide access to educational materials such as tutorials, definitions of terms, and links to additional resources for deeper learning.
6. **User Interface**: Design a user-friendly interface that guides users through each step of the process, ensuring ease of use for all students regardless of their technical background.

The 'appliedchemlabwork-tayra' package will be integral to the data analysis phase, where its specialized functions for chemical experiments will streamline the process and provide accurate results. Additionally, the application should be modular, allowing for future updates and expansions based on feedback from students and instructors.