JsonhPy

v2.5 safe
3.0
Low Risk

JSON for Humans in Python.

πŸ€– AI Analysis

Final verdict: SAFE

The package has minimal risks associated with network calls, shell execution, and obfuscation. However, the metadata risk score is slightly elevated due to the limited activity and presence of the maintainer.

  • Low network and shell execution risk
  • Metadata risk due to limited maintainer activity
Per-check LLM notes
  • Network: No network calls suggest normal operation if the package does not require internet access.
  • Shell: No shell execution suggests there is no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository's lack of activity and the maintainer's limited presence on PyPI raise some concerns, but there are no clear signs of malicious intent.

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: gmail.com>

βœ“ 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 short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with JsonhPy
Create a user-friendly command-line tool called 'HumanJSONParser' using the Python package 'JsonhPy'. This tool will allow users to easily parse, manipulate, and generate human-readable JSON files from the command line. Here’s a detailed breakdown of the steps and features you should include:

1. **Installation and Setup**
   - Ensure 'JsonhPy' is installed as part of your project dependencies.
   - Set up a virtual environment for Python to manage dependencies cleanly.

2. **Basic Parsing Functionality**
   - Implement a feature that allows users to input a JSON file path and display its contents in a human-readable format directly on the command line.
   - Use 'JsonhPy' to handle the parsing logic, ensuring that nested structures are displayed in an organized and easy-to-understand manner.

3. **Interactive Mode**
   - Develop an interactive mode where users can navigate through the parsed JSON data using simple commands like 'go to', 'show', or 'edit'.
   - Utilize 'JsonhPy' to facilitate navigation and editing of the JSON structure.

4. **Editing Features**
   - Allow users to add, modify, or delete key-value pairs within the JSON structure.
   - Ensure that all changes are reflected in real-time during the interactive session.

5. **Exporting Options**
   - Provide an option for users to export their modified JSON data back into a file.
   - Use 'JsonhPy' to ensure that the exported JSON is clean and adheres to standard formatting conventions.

6. **Error Handling**
   - Implement robust error handling to manage issues such as invalid JSON inputs, file not found errors, and incorrect commands.
   - Display user-friendly messages that guide the user on how to correct any errors.

7. **Help and Documentation**
   - Include a help command that provides documentation on how to use each feature of 'HumanJSONParser'.
   - Use 'JsonhPy' documentation as a reference for explaining how JSON manipulation works behind the scenes.

8. **Testing**
   - Write unit tests to verify that each feature works as expected under different scenarios.
   - Test the tool with various types of JSON files to ensure reliability.

By utilizing 'JsonhPy', your application will provide a seamless and intuitive way for users to interact with JSON data without needing to understand complex JSON syntax. This tool aims to make JSON manipulation accessible to everyone, from beginners to advanced users.