🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some concerning behaviors, particularly the metadata risk indicators such as a new maintainer with limited history and rapid commits, alongside the shell risk from potential misuse of subprocess.Popen.

New maintainer with limited history
Rapid commits and no community engagement

Per-check LLM notes

Network: No network calls were detected, which is generally not suspicious unless the package is supposed to communicate with external services.
Shell: The use of subprocess.Popen may indicate potential execution of external commands, which could be risky if not properly controlled or documented within the package's intended functionality.
Metadata: The package shows unusual activity including a new maintainer with limited history, rapid commits, and no community engagement.

📦 Package Quality Overall: Low (3.4/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://github.com/ip174/agentrr/blob/main/docs/ui.md
Detailed PyPI description (4711 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

27 type-annotated function signatures detected in source

○ Low Multiple Contributors 2.0

Single-author or unverifiable project

1 unique contributor(s) across 8 commits in ip174/agentrr
Single 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)

id.uuid4().hex proc = subprocess.Popen( self._worker_cmd(log_path, mode, entrypoint_spe

✓ 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 5.0

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks
All 8 commits happened within 24 hours

⚠ 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 agentrr-ui

Develop a fully functional mini-application that leverages the 'agentrr-ui' package to create a visually engaging and interactive user interface for a simple record-and-replay feature. This application will allow users to record their interactions with a web-based calculator (including inputs and operations) and then replay those interactions at a later time. Here are the steps and features you should include:

1. **Setup**: Start by setting up a basic Flask or Django backend server that integrates with the 'agentrr-ui' package. Ensure the server can handle recording and storing interaction data.
2. **Calculator Interface**: Create a simple yet intuitive web-based calculator interface using HTML/CSS/JavaScript. This calculator should support basic arithmetic operations (addition, subtraction, multiplication, division).
3. **Recording Feature**: Implement a recording feature within the 'agentrr-ui' that captures all user interactions with the calculator. Each interaction should be timestamped and stored locally before being sent to the server.
4. **Replay Feature**: Develop a replay feature that allows users to review and replay previously recorded sessions. Users should be able to play back their sessions at normal speed or in slow motion for better understanding of each step.
5. **Playback Controls**: Include playback controls such as play/pause, fast-forward, rewind, and stop. Additionally, add the ability to jump to specific steps in the recorded session.
6. **User Authentication**: Integrate a lightweight authentication system to ensure that only authorized users can access and replay their own recorded sessions.
7. **Data Persistence**: Ensure that recorded sessions are stored securely on the server and can be retrieved based on user credentials.
8. **Enhanced Visualization**: Use the 'agentrr-ui' package to enhance the visualization of the replay process, making it more intuitive and user-friendly. Consider adding animations or visual cues to highlight the current operation during replay.
9. **Testing & Documentation**: Thoroughly test your application to ensure all features work as expected. Provide comprehensive documentation detailing setup instructions, usage guidelines, and any known limitations.

Your task is to create a mini-application that not only showcases the capabilities of the 'agentrr-ui' package but also provides practical value through its record-and-replay functionality.