ablkit

v1.0.0 suspicious
4.0
Medium Risk

Abductive Learning (ABL) toolkit

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network usage, shell execution, and credential harvesting. However, the presence of obfuscated code and metadata issues suggest potential concerns that warrant further investigation.

  • obfuscation risk present
  • metadata issues with maintainer's account
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network functionality.
  • Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
  • Obfuscation: The code snippets appear to be variations of common PyTorch evaluation patterns and do not show clear signs of malicious obfuscation.
  • Credentials: No credential harvesting patterns were detected in the provided code snippets.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, which raises some concerns.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

  • = self.device model.eval() with torch.no_grad(): results = []
  • e = self.device model.eval() with torch.no_grad(): results = []
  • = self.device model.eval() total_correct_num, total_num, total_loss = 0, 0,
✓ 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 score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://scis.scichina.com/en/2019/076101.pdf
✓ Git Repository History

Repository AbductiveLearning/ABLkit appears legitimate

⚠ 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 ablkit 
Your task is to develop a simple yet powerful educational tool that leverages the Abductive Learning (ABL) toolkit, 'ablkit', to help students understand complex logical reasoning problems. This tool will be designed to take in a set of premises and a hypothesis, then use abductive logic to determine if the hypothesis can be logically inferred from the given premises. Here’s a detailed breakdown of the project requirements:

1. **Project Title:** Abductive Reasoning Tutor
2. **Core Functionality:** The app should allow users to input a series of logical statements (premises) and a hypothesis. It will then use the ablkit library to analyze these inputs and provide feedback on whether the hypothesis can be inferred from the premises using abductive logic.
3. **User Interface:** Design a clean, user-friendly interface where users can enter their premises and hypothesis through text boxes. Include a button to submit the input and display the results.
4. **Features:**
   - Ability to input multiple premises and a single hypothesis.
   - Real-time validation of input format (e.g., ensuring proper logical syntax).
   - Display the steps of abductive reasoning taken by the algorithm to reach its conclusion.
   - Provide explanations for why the hypothesis can or cannot be inferred from the premises.
5. **Technical Implementation:** Utilize the ablkit package to perform the core logic processing. This includes installing the package via pip, importing necessary modules, and utilizing functions provided by ablkit to handle the abductive learning process.
6. **Testing:** Implement unit tests to ensure that your application correctly handles various scenarios, including edge cases such as invalid input formats or premises that cannot support the hypothesis.
7. **Documentation:** Write clear documentation explaining how to install the application, how to use it, and any assumptions made about the logical syntax of the input.
8. **Deployment:** Consider deploying your application on a platform like GitHub Pages or Heroku so others can easily access and use it.

By completing this project, you'll gain hands-on experience with the ablkit package while creating a valuable tool for students and educators alike. Remember to focus on making the application intuitive and easy to use, ensuring that the power of abductive logic is accessible to everyone.