ali-tool

v0.2.3 safe
4.0
Medium Risk

Action Language Interpreter - One command for every tool

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks with no network calls, no obfuscation, and no credential harvesting. The shell execution appears benign and related to tmux session management.

  • Low network and obfuscation risks
  • Benign shell execution related to tmux
Per-check LLM notes
  • Network: No network calls were detected.
  • Shell: Shell execution is present but seems to be related to managing tmux sessions, which might be benign if the package is intended for use in environments where tmux is used.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer seems new and the package lacks PyPI classifiers, suggesting low effort or metadata quality issues.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3990 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 5.0

Partial type annotation coverage

  • 30 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

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • eck_cmd: result = subprocess.run(check_cmd, shell=True, capture_output=True) alre
  • """ try: output = subprocess.check_output( [ "tmux", "list
  • tmux session try: subprocess.check_output(["tmux", "info"], stderr=subprocess.DEVNULL, timeout=1)
  • n}" try: output = subprocess.check_output( ["tmux", "display", "-p", f"#{{{dimension_key}}
  • script_args result = subprocess.run(cmd) return result.returncode except ValueError
  • t = subprocess.run(check_cmd, shell=True, capture_output=True) already_integrated = resu
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Fredrik Angelsen" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with ali-tool 
Your task is to develop a versatile command-line utility called 'ActionTool' using the Python package 'ali-tool'. This utility will serve as a bridge between various tools and services, allowing users to perform actions like running scripts, invoking APIs, managing files, and more, all through a single, unified command interface. Your goal is to create a fully functional, user-friendly tool that demonstrates the flexibility and power of 'ali-tool'. Here are the steps and features you need to implement:

1. **Setup Project**: Start by setting up your Python environment and installing the 'ali-tool' package.
2. **Command Parser**: Develop a robust command parser that can interpret user commands and map them to corresponding functions within 'ali-tool'. The parser should support subcommands, options, and flags.
3. **Core Functions**: Implement core functionalities such as:
   - Running Python scripts and displaying their outputs.
   - Invoking RESTful APIs and handling responses.
   - Managing local files (e.g., copying, moving, deleting).
4. **Custom Actions**: Allow users to define custom actions through configuration files. These custom actions can be anything from executing a specific set of commands to calling a particular API endpoint.
5. **Interactive Mode**: Provide an interactive mode where users can input commands directly without needing to restart the application for each action.
6. **Help and Documentation**: Ensure your tool provides comprehensive help documentation accessible via the '--help' flag for each command.
7. **Error Handling**: Implement error handling to gracefully manage common issues like invalid commands, missing files, or failed API calls.
8. **Testing**: Write unit tests to verify that each feature works as expected under different scenarios.

In this project, 'ali-tool' acts as the engine behind the scenes, interpreting and executing the commands based on the logic defined in your utility. By leveraging 'ali-tool', you aim to showcase how easily developers can integrate complex functionalities into their workflows with minimal effort.

💬 Discussion Feed

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