AI Analysis
The package appears to serve its intended purpose without significant risks. While it has moderate network risk due to external API calls, there are no signs of malicious activity such as shell execution or credential harvesting.
- moderate network risk
- lacks maintainer history
- no signs of malicious activity
Per-check LLM notes
- Network: The presence of network calls to an external API may indicate legitimate functionality but could also be used for unauthorized data transmission.
- Shell: No shell execution patterns detected, indicating low risk of direct system command injection.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is new and lacks maintainer history, but there are no immediate red flags.
Package Quality Overall: Low (3.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (4700 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
21 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 7 commits in Aicase/automatic-operationSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
Found 1 network call pattern(s)
.."}}]""" resp = requests.post( AI_API_URL, headers={
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Git history flags: All 7 commits happened within 24 hours
All 7 commits happened within 24 hours
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Aicase" 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 fully-functional mini-app that automates user interactions on web pages using the 'automatic-operation-skill' package. This app will capture user actions on a webpage, refine these actions into executable scripts, and then replay them. Here's a step-by-step guide on what your app should do: 1. **User Interface Setup**: Develop a simple yet intuitive UI where users can input the URL of the webpage they wish to automate. 2. **Action Recording**: Implement a feature that allows users to interact with the webpage (clicking buttons, filling forms, etc.), while the app records these actions. 3. **Action Refinement**: Use 'automatic-operation-skill' to analyze and refine the recorded actions into precise, repeatable scripts. 4. **Script Execution**: Allow users to execute the refined scripts on the same or different instances of the webpage. 5. **Validation and Feedback**: Provide real-time feedback on the success of each action during execution. 6. **Save and Share Scripts**: Enable users to save their automated scripts and share them with others. 7. **Security Measures**: Ensure that the app does not capture sensitive data and includes basic security measures against unauthorized access. Suggested Features: - Support for multiple browsers (Chrome, Firefox) - Visual representation of recorded actions - Ability to pause and resume script recording - Script editing capabilities before execution - Comprehensive documentation and user guides The 'automatic-operation-skill' package plays a crucial role in the action refinement phase, transforming raw user interactions into structured, reliable automation scripts. This process involves capturing user inputs, processing them through the package's AI algorithms, and generating optimized output scripts.
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