afwf_github

v1.0.3 safe
3.0
Low Risk

Alfred GitHub Workflow.

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all categories with only a moderate concern regarding shell execution. This suggests legitimate use rather than malicious intent.

  • No network calls detected.
  • Subprocess execution detected but likely for benign purposes.
Per-check LLM notes
  • Network: No network calls detected, which is normal and not indicative of malicious activity.
  • Shell: Subprocess execution detected, likely for running tests or generating coverage reports, but should be reviewed for legitimacy of commands executed.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • _cwd(Path(root_dir)): subprocess.run(args) def run_cov_test( script: str, module: str,
  • _cwd(Path(root_dir)): subprocess.run(args) if preview: # pragma: no cover platform =
  • e NotImplementedError subprocess.run([open_command, f"{Path(htmlcov_dir).joinpath('index.html')}"
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: email.com>

✓ 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 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 afwf_github 
Create a desktop utility named 'GitHub QuickAccess' using Python that integrates the 'afwf_github' package to streamline workflow management for GitHub users. This utility will allow users to quickly perform common GitHub operations such as cloning repositories, fetching updates, pulling changes, pushing commits, and more directly from their desktop without needing to open a terminal or browser. Additionally, it will support advanced features like issue tracking, pull request management, and repository browsing.

Step-by-step guide:
1. Install necessary Python packages including 'afwf_github'.
2. Design a user-friendly GUI interface using a library such as PyQt or Tkinter.
3. Implement functionalities for authenticating GitHub credentials securely.
4. Integrate 'afwf_github' functions to manage repositories locally and remotely.
5. Add options for monitoring and managing issues and pull requests.
6. Ensure the app can handle multiple GitHub accounts.
7. Test the application thoroughly on different operating systems.
8. Package the utility for distribution.

Suggested Features:
- Repository search and filtering capabilities.
- Support for both HTTPS and SSH authentication methods.
- Integration with GitHub notifications.
- Customizable themes and layouts.
- Offline mode for viewing local repository details.