agent-catalog-cli

v0.1.0 suspicious
4.0
Medium Risk

Scan a directory for AI-assistant skills, rules and subagents and copy selected ones into a chosen assistant's folder layout.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk in terms of network calls, shell execution, obfuscation, and credential handling. However, the metadata risk score is elevated due to the lack of detailed information and the absence of an associated GitHub repository.

  • Metadata risk is high due to limited package information and no GitHub repo.
  • Package is newly created which raises some suspicion.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external services.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package is newly created with limited information and no associated GitHub repository, raising suspicion.

🔬 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

No GitHub repository linked

  • No GitHub repository link found
Maintainer History score 10.0

5 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Package uploaded less than 24 hours ago (2026-06-05T09:43:41.000Z)
  • 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 agent-catalog-cli
Create a Python-based command-line tool named 'SkillSelector' that leverages the 'agent-catalog-cli' package to manage AI assistant skills, rules, and subagents efficiently. This tool should allow users to scan a directory for available AI components and selectively move them to another designated directory, which represents an AI assistant's workspace. Here’s a detailed breakdown of the functionalities and steps involved:

1. **Initialization**: Upon launching the application, it should initialize the 'agent-catalog-cli' package to prepare for scanning operations.
2. **Directory Scanning**: Users should be able to specify a source directory containing various AI components such as skills, rules, and subagents. The tool will use 'agent-catalog-cli' to scan this directory and list all available items.
3. **Component Selection**: After listing the available components, the user should have the option to select one or multiple items to move. This selection process could be facilitated through a simple menu-driven interface.
4. **Destination Directory**: The user must specify a destination directory where the selected components will be moved. This destination directory represents the target AI assistant's workspace.
5. **Moving Components**: Once the user confirms their selections and the destination directory, the tool should use 'agent-catalog-cli' to copy the selected components into the specified destination directory, maintaining the original folder structure.
6. **Confirmation and Feedback**: After moving the components, the tool should provide feedback on which items were successfully moved and any errors encountered during the process.

**Suggested Features**:
- User-friendly command-line interface for easy navigation.
- Option to filter components based on specific criteria (e.g., type of component).
- Batch-moving capability to streamline the process for managing multiple components at once.
- Detailed logging of all actions performed for auditing purposes.
- Error handling to manage issues such as missing files or incorrect permissions gracefully.

By building 'SkillSelector', you'll create a valuable utility for anyone working with AI assistants, providing a straightforward way to organize and manage their AI components.