AI Analysis
Final verdict: SUSPICIOUS
The package shows some signs of potential risk, particularly due to suspicious metadata and a non-secure link, despite having no clear evidence of malicious activity.
- Suspicious metadata and non-HTTPS link
- Pre-alpha status with evolving APIs and UX
Per-check LLM notes
- Network: The network call to a test URL might be part of development testing but should be scrutinized for its necessity and legitimacy.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Suspicious non-HTTPS link and author details raise concerns, but no clear indicators of typosquatting or active malicious intent.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
t(app=_mcp_wsgi_app) with httpx.Client(transport=transport, base_url="http://mcp.test") as http_cli
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: abstractcore.ai>
Suspicious Page Links
score 2.0
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:1234/v1
Git Repository History
Repository lpalbou/abstractcode appears legitimate
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 abstractcode
Create a Python-based utility called 'CodeCraft' using the 'abstractcode' package, which provides a clean terminal CLI for managing multiple coding agents. This utility should allow users to interactively create, manage, and execute code snippets across various programming languages within a single terminal session. Here's a detailed breakdown of the steps and features you need to implement: 1. **Setup and Installation**: Ensure that the 'abstractcode' package is installed and properly configured as part of your Python environment setup. 2. **CLI Interface**: Develop a user-friendly command-line interface that allows users to select from a list of pre-configured coding agents (e.g., Python, JavaScript, Shell Scripting). 3. **Agent Management**: Implement functionalities to add, remove, and configure coding agents dynamically. Users should be able to specify the language, version, and any additional dependencies required for each agent. 4. **Interactive Coding Session**: Enable users to start an interactive coding session with selected agents. Each session should support real-time feedback and error handling specific to the chosen programming language. 5. **Code Snippet Execution**: Allow users to write and execute code snippets directly through the CLI. Results should be displayed immediately after execution, including any errors or outputs. 6. **Session History**: Maintain a history of all executed code snippets and sessions for future reference or modification. 7. **Customization Options**: Provide options for users to customize their coding experience, such as setting default agents, preferred syntax highlighting themes, and shortcut commands. 8. **Integration with External Tools**: Optionally, integrate 'CodeCraft' with external tools like version control systems (Git), testing frameworks, or documentation generators to enhance its functionality. In each step, utilize the 'abstractcode' package to streamline the development process, ensuring that the CLI remains intuitive and efficient. Your goal is to create a versatile tool that simplifies the coding workflow for developers of all skill levels.