AI Analysis
Final verdict: SAFE
The package is deemed safe with only minor concerns regarding metadata and author information.
- Low risk in network, shell, and obfuscation areas.
- Metadata and author details raise some suspicion but do not indicate malicious intent.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- 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 some red flags such as an author with no name and a low activity repository, indicating potential unreliability.
Package Quality Overall: Low (3.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (2651 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
4 type-annotated function signatures (partial)
○ Low
Multiple Contributors
2.0
Single-author or unverifiable project
1 unique contributor(s) across 16 commits in makssem13/AutoinputSingle author with few commits — possibly a personal or throwaway project
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: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 autoinput
Create a user-friendly command-line utility named 'AutoFormFiller' using the Python package 'autoinput'. This tool aims to simplify the process of filling out forms or entering data into various applications by automating the input process. Your task is to develop a mini-application that allows users to specify the type of form they wish to fill (e.g., contact information, login details, survey responses), then automatically inputs the provided data into the appropriate fields on the target application. ### Core Features: 1. **Dynamic Form Recognition:** The application should be able to recognize different types of forms based on user input or predefined templates. 2. **Data Input Automation:** Once a form is recognized, the application should use 'autoinput' to simulate keyboard input, effectively typing the required data into the correct fields. 3. **Customizable Data Entry:** Users should be able to customize the data to be entered, either through a file import (CSV, JSON) or direct input via the command line. 4. **Error Handling and Feedback:** Implement robust error handling to manage issues such as incorrect field identification or data mismatch. Provide clear feedback messages to the user if something goes wrong. 5. **Logging and Reporting:** Maintain a log of all form-filling activities for auditing purposes. Additionally, generate a report summarizing successful and failed entries. ### Utilization of 'autoinput': - Use 'autoinput' to automate the keyboard input process, ensuring seamless data entry into the target application's fields. - Explore 'autoinput's capabilities to enhance user interaction and streamline the form-filling process. ### Development Steps: 1. **Setup Environment:** Begin by setting up your development environment, installing necessary packages including 'autoinput', and configuring any dependencies. 2. **Design User Interface:** Design a simple yet effective command-line interface that guides users through the process of selecting form types, providing data, and initiating the form-filling action. 3. **Implement Form Recognition Logic:** Develop logic to recognize different forms based on user input. Consider using templates or predefined rules for common form structures. 4. **Automate Data Entry:** Integrate 'autoinput' to automate the data entry process. Ensure that the automation is precise and efficient. 5. **Test and Debug:** Thoroughly test the application under various scenarios to ensure reliability and accuracy. Address any bugs or errors that arise during testing. 6. **Enhance Usability and Security:** Add features that improve usability, such as better error messaging and customizable logging options. Also, consider security aspects, especially when dealing with sensitive data. 7. **Documentation and Deployment:** Document the application's functionality and deployment process clearly. Prepare instructions for end-users and developers alike.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue