🤖 AI Analysis

Final verdict: SAFE

The package has minimal risk indicators with no network calls, shell executions, or obfuscation. While there is some concern about metadata quality and maintainer activity, these do not strongly suggest malicious intent.

No network calls detected
No shell execution detected
Low obfuscation risk

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communications.
Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is typical and safe.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
Metadata: The package shows low effort and potential maintainer inactivity, but lacks clear malicious indicators.

📦 Package Quality Overall: Medium (5.2/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

4 test file(s) detected (e.g. test_client.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (2077 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

65 type-annotated function signatures detected in source

◈ Medium Multiple Contributors 5.0

Limited contributor diversity

1 unique contributor(s) across 100 commits in fmtr/amniotic
Single author but highly active (100 commits)

🔬 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: mask.pro.fmtr.dev>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository fmtr/amniotic appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

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 amniotic

Create a mini-application called 'AmbientMixer' using the Python package 'amniotic'. This application will serve as a user-friendly interface for mixing multiple ambient sounds within a Home Assistant environment. AmbientMixer should allow users to select from a variety of preloaded ambient sounds, adjust their volume levels independently, and mix them together to create a customized ambiance. Additionally, users should be able to save their favorite mixes for quick access.

Steps to build the application:
1. Install the 'amniotic' package and ensure it is properly integrated into your Home Assistant setup.
2. Design a simple yet intuitive GUI (Graphical User Interface) where users can choose from different ambient sounds such as rain, forest, ocean waves, etc.
3. Implement functionality to adjust the volume of each selected sound individually.
4. Add a feature to mix the sounds together in real-time based on the user's adjustments.
5. Develop a system for saving user-created mixes so they can be easily loaded later.
6. Test the application thoroughly to ensure smooth operation and user satisfaction.

Suggested Features:
- Real-time preview of mixed sounds
- Volume adjustment slider for each sound
- Save/load mix functionality
- Ability to add custom ambient sounds
- Cross-platform compatibility

How 'amniotic' is utilized:
- Use 'amniotic' to manage and mix multiple audio streams efficiently.
- Leverage its capabilities to handle the synchronization and playback of ambient sounds seamlessly.