AI Analysis
The package has some benign risks, such as potential shell execution, but lacks critical metadata like a repository link and detailed author information, raising concerns about its legitimacy.
- Shell risk detected
- Missing repository and author details
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interaction.
- Shell: Detection of shell execution might be benign if the package needs to execute external commands, but it warrants further investigation to ensure no unauthorized actions are being performed.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating secure handling of sensitive information.
- Metadata: The missing repository and short author details raise concerns about the legitimacy of the package.
Package Quality Overall: Low (3.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://aletheiadb.com/docsDetailed PyPI description (6144 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
30 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 1 shell execution pattern(s)
i_key self.process = subprocess.Popen( # noqa: S603 [str(binary)], cwd=st
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: aletheiadb.com>
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a time-traveling trivia game application using the AletheiaDB Python SDK. This application will allow users to answer trivia questions from different points in history, leveraging Aletheiadb's capabilities for temporal truth retrieval and fact supersession. The app should include the following features: 1. User Registration and Login: Users should be able to create accounts and log in to track their progress. 2. Historical Trivia Questions: The app should have a database of trivia questions covering various historical periods. Each question should be tagged with its relevant historical period. 3. Time Travel Feature: Users should be able to choose a specific year or decade and receive trivia questions related to that time period. Utilize Aletheiadb's temporal truth retrieval feature to ensure the accuracy of facts based on the selected time frame. 4. Fact Supersession: Implement a feature where, if new historical evidence changes the understanding of an event, the app can update its database using Aletheiadb's fact supersession functionality. This ensures that users always receive the most accurate information. 5. Knowledge Graph Exploration: Allow users to explore connections between historical events and figures through a knowledge graph provided by Aletheiadb. 6. Leaderboards and Challenges: Create leaderboards to display the top trivia players and implement challenges where users compete to answer questions from specific historical eras. 7. Progress Tracking: Users should be able to see their performance over time, including which periods they excel in and areas where they need improvement. To utilize the Aletheiadb package, integrate it into your backend to manage historical data, handle temporal queries, and maintain the accuracy of the trivia questions through updates based on fact supersession. Ensure that all interactions with Aletheiadb are efficient and secure.