🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no signs of obfuscation, shell execution, or credential harvesting. The network and metadata risks are low, suggesting it is likely safe to use.

Low risk scores across all categories.
No evidence of malicious activity.

Per-check LLM notes

Network: Network calls are expected if the package interacts with external services.
Shell: No shell execution patterns detected.
Obfuscation: No obfuscation patterns detected, suggesting no risk of malicious code.
Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
Metadata: The author has only one package, which might indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

Test runner config found: pyproject.toml

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://docs.anyfrm.com
Detailed PyPI description (14871 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 7.0

Partial type annotation coverage

Classifier: Typing :: Typed
263 type-annotated function signatures detected in source

✦ High Multiple Contributors 8.0

Active multi-contributor project

3 unique contributor(s) across 80 commits in tinyhq/anyframe-python
Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

None: self._client = httpx.Client( base_url=base_url.rstrip("/"), head
None: self._client = httpx.AsyncClient( base_url=base_url.rstrip("/"), head

✓ 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

Repository tinyhq/anyframe-python appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "AnyFrame" 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 anyframe

Create a Python-based mini-application that integrates with the AnyFrame control plane using the 'anyframe' SDK. This application will serve as a tool for managing and monitoring various resources within the AnyFrame environment. Here are the steps and features to implement:

1. **Setup**: Begin by installing the 'anyframe' package via pip. Ensure you have the necessary API keys and credentials to authenticate with the AnyFrame control plane.
2. **Authentication Module**: Develop an authentication module that handles user login and token management. This module should securely store tokens and refresh them when necessary.
3. **Resource Management**: Implement functionality to create, read, update, and delete (CRUD) resources such as servers, networks, and storage volumes within the AnyFrame environment. Each operation should be well-documented and tested.
4. **Monitoring Dashboard**: Design a simple dashboard that displays real-time metrics and statuses of managed resources. This dashboard should include graphs and charts to visualize resource usage over time.
5. **Alerting System**: Integrate an alerting system that sends notifications (via email or SMS) based on predefined thresholds or anomalies detected in the monitored resources.
6. **Logging and Reporting**: Include logging capabilities to track all operations performed through the application. Additionally, provide a reporting feature that generates periodic reports summarizing resource usage and performance.
7. **User Interface**: Although not mandatory, consider developing a basic web interface using Flask or Django to make the application more accessible to users who prefer a graphical interface over command-line tools.

Throughout the development process, ensure that the application leverages the 'anyframe' package's core functionalities effectively. Pay special attention to error handling, security practices, and efficient data processing techniques.