0latency-cli

v0.3.0 safe
3.0
Low Risk

Transparent PTY wrapper for Claude Code with role detection and cloud atom storage

πŸ€– AI Analysis

Final verdict: SAFE

The package appears to serve a legitimate purpose with low risks identified. While there is a moderate level of obfuscation, which might raise concerns, no malicious activities or credential harvesting were detected.

  • Moderate obfuscation risk due to base64 decoding, but likely for legitimate purposes
  • Low credential risk
Per-check LLM notes
  • Obfuscation: The presence of base64 decoding suggests some level of obfuscation, but it could be for legitimate purposes such as handling encrypted or encoded content.
  • Credentials: No clear evidence of credential harvesting was found.

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • ce code try: with httpx.Client(timeout=10.0) as client: response = client.post(
  • try: with httpx.Client(timeout=10.0) as client: response = client.p
  • """ try: with httpx.Client(timeout=10.0, limits=httpx.Limits(max_connections=5)) as cli
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • data['content_raw'] = base64.b64decode(data['content_raw']) return cls(**data) """OAuth de
⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • aude --print result = subprocess.run( ["claude", "--print", prompt], capt
  • try: result = subprocess.run( ["codex", "exec", prompt], capture_
  • start = time.time() subprocess.run(cmd, shell=True, capture_output=True, check=True) la
  • time.time() result = subprocess.run(cmd, shell=True, capture_output=True) latency = (tim
  • ython3 -c "import subprocess; subprocess.run(['claude', '--version'], capture_output=True)" """.strip(),
  • eps then outputs result = subprocess.run( ['bash', '-c', 'sleep 2 && echo "done"'], c
βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: 0latency.ai>

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 6.0

3 maintainer concern(s) found

  • Only one version has ever been released β€” brand new package
  • 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 0latency-cli
Create a terminal-based interactive coding environment called 'ClaudeCodeBox' that leverages the '0latency-cli' package to provide a seamless and low-latency experience for developers. This tool will serve as an enhanced terminal interface where users can write, run, and debug code snippets in real-time. Here’s a step-by-step guide on how to develop this mini-app:

1. **Setup Environment**: Begin by setting up your development environment with Python installed and the '0latency-cli' package. Ensure you have a basic understanding of Python and its ecosystem.
2. **Project Structure**: Define the project structure. It should include a main module for handling user interactions, a module for integrating '0latency-cli', and a configuration file for storing settings.
3. **Integration of '0latency-cli'**: Use '0latency-cli' to wrap around the terminal input/output streams, ensuring that any command executed within the 'ClaudeCodeBox' environment is processed through the '0latency-cli' wrapper. This will allow for faster response times and smoother interactions.
4. **Role Detection**: Implement role detection capabilities within the application. This feature will identify whether the user is a beginner, intermediate, or advanced coder based on their input patterns and commands. Depending on the detected role, the application can adjust its behavior, offering different levels of assistance and suggestions.
5. **Cloud Atom Storage**: Integrate cloud atom storage functionalities provided by '0latency-cli'. This allows users to save their code snippets and session states in the cloud, enabling them to access their work from anywhere at any time.
6. **Interactive Features**: Develop interactive features such as live syntax highlighting, inline error messages, and auto-completion. These features will enhance the coding experience and help users write cleaner, more efficient code.
7. **User Interface**: Design a simple yet effective user interface that guides users through the process of writing, running, and debugging code. The UI should also display information about the current role detection status and available cloud storage options.
8. **Testing and Validation**: Conduct thorough testing to ensure that all components of 'ClaudeCodeBox' function correctly. Pay special attention to the integration with '0latency-cli' and the performance benefits it provides.
9. **Documentation and Deployment**: Write comprehensive documentation explaining how to install and use 'ClaudeCodeBox'. Consider deploying the application on platforms like GitHub so that other developers can contribute to its improvement.

By following these steps, you'll create a powerful, user-friendly coding environment that leverages the unique capabilities of the '0latency-cli' package.