aisay

v0.4.1 suspicious
5.0
Medium Risk

OpenAI-backed TTS CLIs: aisay (short-form, like macOS `say`) and aitts (long-form → playlist).

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits medium risk due to potential network and shell execution vulnerabilities, despite having no signs of obfuscation or credential harvesting.

  • moderate network risk
  • high shell execution risk
  • new maintainer with limited activity
Per-check LLM notes
  • Network: The network call patterns indicate the package may be fetching content from external URLs, which could potentially lead to data exfiltration or interaction with untrusted sources.
  • Shell: The shell execution patterns suggest the package executes commands like 'ffmpeg', 'vlc', and 'afplay', which might be legitimate for media processing but also pose risks if not properly sanitized, leading to potential code injection or other malicious activities.
  • 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 a new maintainer account with limited activity, a single version release, and an unstarred/unforked repository.

📦 Package Quality Overall: Medium (5.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4531 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 17 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 7 commits in orlenko/aitts
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • return html req = urllib.request.Request( url, headers={ "User-Ag
  • , ) try: with urllib.request.urlopen(req, timeout=20) as resp: charset = resp
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

  • r / "merged.mp3" result = subprocess.run( ["ffmpeg", "-y", "-f", "concat", "-safe", "0",
  • shutil.which("vlc"): subprocess.Popen(["vlc", str(playlist)]) return if sys.platform =
  • platform == "darwin": subprocess.run(["open", "-a", "VLC", str(playlist)], check=False) r
  • if args.no_lock: subprocess.run(["afplay", path], check=False) return with _pla
  • ) return subprocess.run(["afplay", path], check=False) @contextmanager def _playba
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: orlenko.ca>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 6.0

3 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)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aisay 
Create a fully-functional mini-application called 'EchoVerse' that leverages the 'aisay' Python package to convert text into speech, adding a layer of personalization and interactivity. This application will serve as a versatile tool for users who want to transform their written content into spoken words with customizable voices and accents, making it perfect for podcasters, educators, and anyone looking to enhance their digital storytelling experience.

Step-by-Step Instructions:
1. Initialize your Python environment and install the 'aisay' package along with any other necessary dependencies.
2. Design a user-friendly command-line interface where users can input text they wish to hear spoken aloud.
3. Implement functionality within EchoVerse that allows users to select from a variety of pre-defined voices and accents available through the 'aisay' package.
4. Integrate options for users to save the output audio file in different formats (e.g., MP3, WAV).
5. Enhance EchoVerse by adding a feature that reads out the content of a text file provided by the user, line by line, using the selected voice settings.
6. Finally, ensure EchoVerse includes an option to play back the generated audio immediately after creation.

Suggested Features:
- A comprehensive help menu detailing all available commands and options.
- Support for batch processing multiple text files at once.
- Integration with popular cloud storage services for direct upload of generated audio files.
- Customizable output directory for saving audio files.

How 'aisay' is Utilized:
- The core function of 'aisay' is to act as a bridge between text inputs and synthesized speech outputs. In EchoVerse, 'aisay' will be called upon whenever a user wants to convert their text into speech, allowing for real-time feedback on how different voice settings affect the output. Users will benefit from the seamless integration of 'aisay', enabling them to focus on creative expression rather than technical details.

💬 Discussion Feed

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