🤖 AI Analysis

Final verdict: SUSPICIOUS

While the package shows no direct signs of malicious intent, the incomplete maintainer profile and potential for subprocess execution elevate the risk slightly.

Incomplete maintainer profile
Potential for unintended shell command execution

Per-check LLM notes

Network: No network calls detected, which is normal and not indicative of malicious activity.
Shell: Subprocess execution might be part of the intended functionality, but should be reviewed to ensure it does not lead to unexpected shell commands execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has an incomplete profile and appears to be new or inactive, which raises some suspicion but not enough to conclusively indicate malice.

🔬 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)

k(0) try: subprocess.run( ["ninja", "-f", "/dev/stdin"], input=self.o

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: rackslab.io>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository rackslab/RFL appears legitimate

⚠ 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 RFL.build

Create a fully-functional mini-application called 'BuildMaster' using the Python package 'RFL.build'. This application will serve as a streamlined tool for managing software builds and deployments. Your task is to design and implement BuildMaster, which should allow users to define build configurations, execute builds, and manage deployment processes efficiently.

Step-by-Step Instructions:
1. **Setup**: Initialize a new Python project and install the required dependencies, including 'RFL.build'.
2. **Configuration Management**: Design a user-friendly interface where users can input their build configurations. These configurations should include details like source directories, target directories, build commands, and environment variables.
3. **Build Execution**: Utilize 'RFL.build' to automate the build process based on the provided configurations. Ensure that the build process is robust and can handle various types of projects (e.g., C++, Python, etc.).
4. **Deployment Handling**: After successful builds, BuildMaster should facilitate the deployment of the built artifacts to a specified location or environment. This could involve uploading files to a server, deploying to a cloud service, or any other relevant action.
5. **Logging and Reporting**: Implement logging and reporting functionalities to track the status of each build and deployment. Users should be able to view logs, reports, and any errors encountered during the build and deployment processes.
6. **User Interface**: Develop a simple command-line interface (CLI) for interacting with BuildMaster. Consider adding options for viewing help, listing available commands, and managing configurations.
7. **Testing**: Write unit tests to ensure that all components of BuildMaster function correctly. Test different scenarios, such as building a project, deploying it, and handling errors.

Suggested Features:
- Support for multiple build systems (CMake, Make, etc.)
- Integration with version control systems (Git)
- Ability to schedule builds at regular intervals
- Notification system for build success/failure
- Detailed documentation and examples

How 'RFL.build' is Utilized:
- Use 'RFL.build' to manage the build process, ensuring that it is efficient and reliable. Leverage its features to compile code, link libraries, and perform other necessary build steps. Additionally, utilize 'RFL.build' to handle dependencies, ensuring that all necessary tools and libraries are available and up-to-date.