🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has no apparent malicious activities such as network calls or shell executions, but the metadata risk due to low repository activity and lack of detailed author information raises some concerns.

Low repository activity
Lack of detailed author information

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution patterns detected, indicating it does not execute external commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The repository's low activity, single contributor, and lack of author details suggest potential risk, though direct evidence of malice is lacking.

🔬 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

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 forks
Very few commits: 2 total
Single contributor with only 2 commit(s) — possibly throwaway account

⚠ Maintainer History score 8.0

4 maintainer concern(s) found

Only one version has ever been released — brand new package
Author name is missing or very short
Author "" 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 BlackboardBold

Create a Python-based mini-application named 'TextTransformer' that leverages the 'BlackboardBold' package to transform standard text into a bold, stylized format often seen on blackboards. The app should allow users to input any string of text and receive it back in a stylized 'chalkboard' font style. Additionally, consider adding these features:

1. Support for different font styles within the 'BlackboardBold' package if available.
2. A GUI interface using a library like Tkinter for better user interaction.
3. An option to save the transformed text as an image file.
4. Integration with clipboard functionality to copy the transformed text directly.

The core functionality should focus on taking user input through the command line or GUI, processing it with 'BlackboardBold', and displaying the result immediately. Ensure the application is well-documented, easy to install via pip, and includes a README.md file detailing setup instructions, usage examples, and feature highlights.