🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network, shell, and obfuscation activities, but the metadata quality and maintainer activity levels are concerning. This raises suspicion about potential supply-chain risks.

Low maintainer activity and poor metadata quality
No network calls, shell executions, or obfuscation detected

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution detected, indicating no direct system command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising some suspicion but not conclusive evidence of malice.

🔬 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

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 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 RAG-I-Q-Pipeline

Create a mini-app called 'QuestionMaster' that leverages the 'RAG-I-Q-Pipeline' Python package to provide an advanced question-answering system. This app will enable users to input a query related to a specific domain (e.g., finance, technology, health) and receive accurate, contextually relevant answers sourced from both provided documents and external web resources. Here’s a detailed breakdown of the project scope:

1. **Setup and Configuration**: Begin by installing the 'RAG-I-Q-Pipeline' package along with any necessary dependencies. Ensure that your environment supports Python 3.8 or higher.
2. **Domain-Specific Data Collection**: For demonstration purposes, gather a set of documents related to the chosen domain (finance in this example). These documents could include articles, reports, or books. Additionally, incorporate a mechanism to periodically fetch and index new information from reliable online sources.
3. **User Interface Design**: Develop a simple yet intuitive command-line interface (CLI) where users can enter their queries. Optionally, extend this to a basic web-based UI using Flask or Django for more accessibility.
4. **Query Processing**: Implement functionality within 'QuestionMaster' that preprocesses user inputs to enhance accuracy and relevance. This includes handling typos, synonyms, and refining search terms.
5. **Answer Retrieval**: Utilize the 'RAG-I-Q-Pipeline' to process each query, combining document retrieval with question answering capabilities. The pipeline should extract relevant sections from the indexed documents and generate precise responses.
6. **Contextual Understanding**: Enhance the app by adding features like summarization of long-form answers, highlighting key points, and providing references back to the original sources.
7. **Feedback Loop**: Incorporate a feedback mechanism where users can rate the accuracy and relevance of the answers. Use this data to improve future responses.
8. **Documentation and Testing**: Write comprehensive documentation detailing how to install, configure, and use 'QuestionMaster'. Also, create a suite of tests to ensure reliability and robustness.

By following these steps, you'll develop a versatile tool that not only demonstrates the power of 'RAG-I-Q-Pipeline' but also serves as a valuable resource for anyone seeking quick, accurate answers on specific topics.