autobots-devtools-shared-lib

v0.10.0 suspicious
4.0
Medium Risk

Shared library functions to be used for all autobots projects

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate network risk due to its data upload behavior, which could potentially involve data exfiltration. However, the low scores in other categories suggest it's not overtly malicious.

  • Moderate network risk
  • Single package maintainer with no associated GitHub repo
Per-check LLM notes
  • Network: The observed network call pattern suggests that the package may be uploading data to an external server, which could indicate legitimate functionality like logging or file sharing, but also raises concerns about potential data exfiltration.
  • Shell: No shell execution patterns were detected, reducing the immediate risk of unauthorized command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package and no associated GitHub repository, which could indicate a new or less active developer.

📦 Package Quality Overall: Low (4.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7356 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 90 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • se64_content} response = requests.post(f"{file_server_url}/writeFile", json=payload, timeout=30)
✓ 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: pratishthanventures.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Pralhad" 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 autobots-devtools-shared-lib 
Create a fully-functional mini-app called 'Autobot Task Manager' that leverages the 'autobots-devtools-shared-lib' package for automation tasks within various development environments. This app will serve as a central hub for managing different types of tasks such as code linting, testing, deployment, and more, across multiple projects. Here’s a detailed breakdown of the steps and features you need to implement:

1. **Setup Project Environment**: Initialize a new Python project and install the necessary dependencies including 'autobots-devtools-shared-lib'.
2. **Task Management Interface**: Develop a command-line interface (CLI) where users can input commands to manage their tasks. Use the shared library to abstract common operations like logging, configuration handling, and error reporting.
3. **Task Types**: Implement at least four types of tasks:
   - Code Linting: Integrate with linters like Pylint or Flake8 using the shared library's utilities for file handling and command execution.
   - Automated Testing: Run unit tests using libraries like pytest, utilizing the shared library's test execution framework.
   - Deployment: Automate the deployment process for web applications using Docker and Kubernetes, leveraging the shared library's container management tools.
   - Documentation Generation: Automatically generate documentation from comments in the source code using Sphinx or similar tools, with the help of the shared library's documentation generation module.
4. **Configuration Handling**: Allow users to configure settings for each task type through a YAML configuration file. Utilize the shared library's configuration parser to handle these settings efficiently.
5. **Logging and Reporting**: Implement comprehensive logging for all task executions, storing logs in a structured format that can be easily parsed and analyzed. Use the shared library's logging utilities for consistent log formatting and storage.
6. **Error Handling**: Ensure robust error handling throughout the application, providing meaningful feedback to users when tasks fail. Leverage the shared library's exception handling mechanisms to standardize error responses.
7. **Security Measures**: Incorporate basic security measures such as encrypting sensitive data stored in configuration files using the shared library's encryption utilities.

Your goal is to create a versatile and user-friendly tool that simplifies the management of repetitive development tasks, demonstrating the power and versatility of the 'autobots-devtools-shared-lib' package.

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