🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious activity but raises concerns due to its metadata risk score and lack of maintainer history.

Metadata risk score of 7 out of 10
Repository with low activity and sparse maintainer history

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 does not attempt to execute commands on the system.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The repository's recent creation, low activity, and sparse maintainer history suggest potential risks, though not conclusive evidence of malice.

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 7.5

Git history flags: Repository created very recently: 5 day(s) ago (2026-05-31T23:07:47Z)

Repository created very recently: 5 day(s) ago (2026-05-31T23:07:47Z)
Repository has zero stars and zero forks
All 5 commits happened within 24 hours

⚠ Maintainer History score 6.0

3 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)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agente-scratch

Create a command-line interface (CLI) tool that leverages the 'agente-scratch' package to generate and manage Scratch 3.0 projects using AI. Your application should allow users to create new Scratch projects based on specific themes or game ideas they input. For example, a user could request a 'space adventure' game, and your tool would use 'agente-scratch' to generate a basic structure of the game including sprites, backgrounds, and scripts.

### Core Features:
1. **Project Creation:** Users should be able to specify a theme or game idea through the CLI, and the tool will generate a Scratch project tailored to their input.
2. **Customization Options:** Allow users to customize the generated project by adding more details like character names, background settings, and game rules.
3. **Interactive Preview:** The tool should provide an option to preview the generated Scratch project in a web browser.
4. **Export Functionality:** Enable users to export the generated project as a .sb3 file, ready for further editing or sharing.
5. **Integration with MCP Server:** Implement a feature that allows the user to connect to the MCP server provided by 'agente-scratch' for additional functionalities such as real-time collaboration or advanced project management.

### Utilizing 'agente-scratch':
- Use the CLI capabilities of 'agente-scratch' to handle the generation of Scratch projects.
- Leverage the AI-driven components of 'agente-scratch' to interpret user inputs and translate them into functional Scratch code and assets.
- Explore the integration with the MCP server to enhance the project management and collaboration aspects of the tool.

### Additional Enhancements:
- Develop a tutorial mode where users can learn how to use the generated projects effectively.
- Incorporate a feedback loop where users can suggest improvements to the generated projects, which can then be used to refine future generations.
- Create a library of pre-defined templates that users can choose from, making it easier to start new projects.