🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has no detected network or shell risks, but its recent creation and lack of detailed metadata raise concerns about potential low-effort or malicious intent.

Recent repository creation
Lack of author details and metadata

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communications.
Shell: No shell execution detected, indicating the package does not attempt to execute system commands.
Metadata: The recent creation of the repository and package, along with the lack of author details and metadata, suggest potential low-effort or malicious intent.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 5.0

Git history flags: Repository created very recently: 2 day(s) ago (2026-06-03T16:06:47Z)

Repository created very recently: 2 day(s) ago (2026-06-03T16:06:47Z)
Repository has zero stars and zero forks

⚠ Maintainer History score 8.0

4 maintainer concern(s) found

Package uploaded less than 24 hours ago (2026-06-05T09:33:27.000Z)
Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

💡 AI App Starter Prompt

Use this prompt to build a project with halo-format-claude

Develop a mini-application called 'ClaudeHaloExplorer' that leverages the 'halo-format-claude' package to interact with the Claude Agent SDK in a unique way. This application will serve as a tool for developers and enthusiasts who want to explore and manipulate data within their development environments more effectively. The goal of ClaudeHaloExplorer is to provide a simple interface for executing specific tasks such as fetching data from a defined source, encoding data post-tool use, and walking through hierarchical data structures using the halo_walk feature provided by the 'halo-format-claude' package.

Steps to create ClaudeHaloExplorer:
1. Initialize your Python environment and ensure you have the necessary dependencies installed, including 'halo-format-claude'.
2. Create a main class named ClaudeHaloExplorer that initializes the halo-formatter using the install_halo() function from 'halo-format-claude'.
3. Implement methods within the ClaudeHaloExplorer class to handle different operations like fetching data (using halo_fetch), walking through data structures (using halo_walk), and encoding data after its use (using the encode hook).
4. Design a user-friendly command-line interface where users can input commands to perform these operations. For example, they should be able to specify the type of operation (fetch, walk, encode) and any necessary parameters.
5. Ensure error handling is implemented to manage cases where data cannot be fetched or encoded properly.
6. Add documentation to guide users on how to use the application effectively.

Suggested Features:
- Support for multiple data sources (e.g., local files, remote APIs)
- Ability to save fetched data into a specified file format (JSON, CSV)
- Enhanced logging to track operations performed by the user
- Integration tests to verify functionality across different scenarios

By following these steps and implementing the suggested features, ClaudeHaloExplorer will become a valuable tool for developers looking to streamline their workflow when working with complex data structures and external data sources.