🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits signs of potential typosquatting with a name similar to 'arq', and lacks essential metadata such as maintainer history and author details.

Potential typosquatting
Missing maintainer and author details

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 detected, indicating no direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows several red flags including lack of maintainer history, missing author details, and potential typosquatting.
⚠ Typosquatting target: arq

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

○ Low Documentation 1.0

No documentation detected

No documentation URL, doc files, or meaningful description found

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 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 score 3.0

Possible typosquat of: arq

"areg" is 2 edit(s) from "arq"

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ 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 areg

Your task is to develop a mini-application named 'Artifact Tracker' using Python, which will leverage the functionalities of the 'areg' package to manage and track artifacts in a software development lifecycle. This application will be designed to help developers and project managers keep track of various artifacts such as code versions, documentation, and test results, ensuring they are up-to-date and easily accessible.

Step 1: Initialize the Project
- Create a new Python project in your preferred IDE or editor.
- Install the 'areg' package if it's not already installed.
- Set up a virtual environment for better dependency management.

Step 2: Design the Core Features
- **Artifact Registration**: Implement a feature where users can register different types of artifacts such as code commits, documentation updates, and test results. Each artifact will have metadata like name, type, version, and timestamp.
- **Artifact Search**: Develop a search functionality that allows users to find artifacts based on their type, version, or any other relevant metadata.
- **Artifact Versioning**: Enable tracking of multiple versions of the same artifact, allowing users to compare and switch between different versions.
- **Artifact Sharing**: Integrate a feature that allows users to share artifacts with others via links or email notifications.

Step 3: Utilizing the 'areg' Package
- Use the 'areg' package to store and retrieve artifact information efficiently. For example, you might use its APIs to register a new artifact, fetch existing ones, or update artifact details.
- Explore how 'areg' supports version control within its storage mechanism to implement the artifact versioning feature effectively.
- Leverage 'areg' for secure and reliable artifact sharing by generating unique access tokens or URLs for each artifact.

Step 4: User Interface
- Design a simple command-line interface (CLI) for users to interact with the 'Artifact Tracker'. Commands should include registering new artifacts, searching for them, viewing specific versions, and sharing artifacts.
- Alternatively, consider building a basic web interface using Flask or Django for more interactive user experience.

Step 5: Testing and Deployment
- Write unit tests to ensure each component of the application works as expected.
- Deploy your application either locally or on a cloud platform like AWS or Google Cloud for broader accessibility.

Your goal is to create a functional and user-friendly tool that simplifies the process of managing and tracking software development artifacts, making it easier for teams to collaborate and maintain a high standard of quality in their projects.