anemone-daisy-maker

v1.993 suspicious
4.0
Medium Risk

Create DAISY digital talking books from HTML text, MP3 audio and JSON time index data

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, obfuscation, and credential usage. However, the metadata risk score is elevated due to the maintainer's limited presence and lack of a GitHub repository, raising concerns about the maintainer's credibility.

  • Metadata risk due to single package and no associated GitHub repository
  • Maintainer's profile is sparse, suggesting potential lack of experience or trustworthiness
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell executions detected, indicating no immediate risk of command injection or unauthorized system access.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package and lacks a GitHub repository, which could indicate a less experienced or potentially suspicious actor.

📦 Package Quality Overall: Low (3.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (14273 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

  • Type checker (mypy / pyright / pytype) referenced in project
  • 35 type-annotated function signatures detected in source
○ 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

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: cam.ac.uk

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Silas S. Brown" 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 anemone-daisy-maker 
Develop a Python-based mini-application named 'BookTalkBuilder' that leverages the 'anemone-daisy-maker' package to convert user-provided HTML text, MP3 audio files, and JSON timing index data into DAISY Digital Talking Books. This application will serve as a tool for publishers and individuals to easily create accessible digital books for visually impaired readers.

Step 1: Design the User Interface
- Develop a simple yet intuitive command-line interface for users to interact with the application.
- Include options for inputting paths to HTML text files, MP3 audio files, and JSON timing index files.

Step 2: Implement Input Validation
- Ensure that the provided file paths are valid and exist.
- Verify that the formats of the input files match the expected types (HTML, MP3, JSON).

Step 3: Integrate 'anemone-daisy-maker'
- Utilize the 'anemone-daisy-maker' package to process the validated inputs.
- Pass the HTML content, audio files, and timing index data to the package to generate the DAISY book.

Step 4: Output Generation
- After successful processing, output the generated DAISY Digital Talking Book to a specified directory.
- Provide feedback to the user regarding the success or failure of the operation.

Suggested Features:
- Support for batch processing of multiple books at once.
- Option to customize metadata such as title, author, and publisher information.
- Error logging and reporting for troubleshooting purposes.
- Integration with cloud storage services like AWS S3 for storing and retrieving files.

The application should be well-documented, with clear instructions on installation, usage, and troubleshooting.

💬 Discussion Feed

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