autopapertoppt

v0.1.12 safe
3.0
Low Risk

Keyword-driven paper search assistant that exports slides, summaries, and BibTeX.

🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk indicators, with the highest concern being the network risk due to external API calls. However, there is no evidence of malicious behavior.

  • Network risk due to external API calls
  • No signs of obfuscation, shell execution, or credential harvesting
Per-check LLM notes
  • Network: The package makes HTTP requests to an external API, which is not inherently suspicious but requires further investigation into the legitimacy and necessity of these calls.
  • Shell: No shell execution patterns were detected, indicating no immediate risk from this aspect.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
  • Metadata: The maintainer has only one package, which could indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • Test runner config found: pyproject.toml
  • 3 test file(s) detected (e.g. test_agents_md.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (30757 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

  • 292 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 score 3.0

Found 2 network call pattern(s)

  • lyTransport(inner) return httpx.AsyncClient( transport=transport, timeout=HTTP_TIMEOUT_S
  • x.AsyncClient: return httpx.AsyncClient(transport=transport, base_url="https://export.arxiv.org")
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "JeffreyChen" 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 autopapertoppt 
Create a research assistant tool named 'PaperSlideMaster' using the Python package 'autopapertoppt'. This tool aims to simplify the process of finding relevant academic papers, extracting key information, and converting them into PowerPoint presentations. Here’s how you can build it:

1. **Setup**: Begin by installing 'autopapertoppt' and any other necessary libraries like BeautifulSoup, requests, and pptx.
2. **User Interface**: Develop a simple command-line interface where users can input keywords related to their research interest.
3. **Search Functionality**: Utilize 'autopapertoppt' to search through academic databases based on user inputs and return a list of relevant papers along with brief summaries.
4. **Selection and Export**: Allow users to select specific papers from the returned list. For each selected paper, use 'autopapertoppt' to generate a summary slide and a citation slide in BibTeX format.
5. **Presentation Creation**: Automate the creation of a PowerPoint presentation by adding the generated slides into a new PPT file. Each presentation should include a title slide, summary slides for each selected paper, and a final slide containing all the BibTeX citations.
6. **Customization Options**: Offer customization options such as changing the color theme, adding logos, and including additional notes.
7. **Testing and Feedback**: Test your application thoroughly and gather feedback from potential users to ensure its usability and effectiveness.
8. **Documentation**: Write clear documentation explaining how to install and use the application.

This project not only leverages the powerful features of 'autopapertoppt' but also provides researchers with a handy tool for managing and presenting their findings.

💬 Discussion Feed

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