aletheiadb

v0.1.2 suspicious
4.0
Medium Risk

Python SDK for AletheiaDB: The cognitive memory engine for AI agents with fact supersession, knowledge graphs, and temporal truth retrieval.

🤖 AI Analysis

Final verdict: SUSPICIOUS

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)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://aletheiadb.com/docs
  • Detailed PyPI description (6144 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 30 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation

No obfuscation patterns detected

Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • i_key self.process = subprocess.Popen( # noqa: S603 [str(binary)], cwd=st
Credential Harvesting

No credential harvesting patterns detected

Typosquatting

No typosquatting candidates detected

Registered Email Domain

Email domain looks legitimate: aletheiadb.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 aletheiadb
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.