AI Analysis
Final verdict: SUSPICIOUS
The package shows low risk for network calls, shell execution, obfuscation, and credential harvesting. However, it has minimal maintainer information and lacks a linked GitHub repository, raising concerns about its provenance and maintenance.
- Minimal maintainer information available
- No linked Git repository
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution detected, indicating no direct system command execution by the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has minimal maintainer information and no linked git repository, which raises some suspicion.
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: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 agentic-kie
Create a document summarization tool named 'DocSummarizer' using the Python package 'agentic-kie'. This tool should allow users to upload various types of documents (PDF, Word, etc.) and receive a concise summary of the key information contained within those documents. The application should be built with a simple web interface using Flask, enabling easy interaction and file uploads. Additionally, integrate a feature to highlight key phrases or sentences that were extracted as part of the summarization process. Ensure the application is capable of handling different document formats efficiently and outputs summaries in plain text format. Utilize 'agentic-kie' to perform the key information extraction task in a single pass, leveraging its agentic capabilities to improve the accuracy and relevance of the summaries. The final product should demonstrate the power of 'agentic-kie' in extracting meaningful insights from unstructured data sources.