🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe with no indications of malicious intent or supply-chain attack vectors. The low risk scores for obfuscation and credential risks suggest benign functionality.

No obfuscation or credential harvesting detected
Metadata quality could be improved but does not indicate malicious activity

Per-check LLM notes

Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: Low risk but requires attention due to incomplete author information and low metadata quality.

🔬 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: mailfence.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository OpenJarbas/RAKEkeywords 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 RAKEkeywords

Create a content analysis tool using Python that leverages the RAKEkeywords package to automatically extract key phrases from articles or documents. This tool will be designed to help users quickly understand the main topics discussed within a piece of text without having to read it entirely. Here’s how the application will work:

1. **User Input**: The user will input a text file or copy-paste a block of text into the application interface.
2. **Text Processing**: The application will process the text using the RAKEkeywords package to identify and rank the most relevant keywords and phrases.
3. **Keyword Display**: The extracted keywords and phrases will be displayed in order of their relevance, allowing users to see which topics are most prominent in the text.
4. **Optional Feature - Summarization**: As an additional feature, implement a basic summarization function that uses the top keywords to generate a short summary of the document.
5. **Visualization**: To enhance usability, include a word cloud visualization of the top keywords and phrases, providing a graphical representation of the text's content.
6. **Export Functionality**: Allow users to export the keyword list and summaries as a CSV or PDF file for further analysis or record-keeping.

**How to Utilize RAKEkeywords Package**:
- Import the necessary modules from the RAKEkeywords package.
- Preprocess the input text to ensure it's suitable for keyword extraction (e.g., removing punctuation, converting to lowercase).
- Use the RAKEkeywords package to extract keywords and phrases from the preprocessed text.
- Rank these keywords based on their scores provided by the RAKE algorithm.
- Integrate these ranked keywords into the application's output features such as display, summarization, and visualization.