automated-actions-cli

v0.2.0 safe
4.0
Medium Risk

Automated Actions Client

🤖 AI Analysis

Final verdict: SAFE

The package appears to be primarily intended for legitimate use with moderate risks associated with shell command execution and network calls. However, there are no clear indications of malicious behavior.

  • Moderate shell risk due to Kerberos ticket management
  • Low risk for obfuscation and credential harvesting
Per-check LLM notes
  • Network: The network call pattern seems to be establishing a client connection, which could be benign if the package requires API interactions.
  • Shell: Executing shell commands like 'klist' and 'kinit' suggests interaction with Kerberos tickets, which might indicate authentication handling but also poses a risk if not properly managed.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some signs of low maintenance and possibly poor metadata quality, but there are no clear indicators of malicious intent.

📦 Package Quality Overall: Low (4.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "documentation" -> https://github.com/app-sre/automated-actions
  • Detailed PyPI description (5676 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

  • 11 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in app-sre/automated-actions
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • ) self._client = httpx.Client( base_url=self._base_url, co
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • beros ticket is valid subprocess.run(["klist", "-s"], check=True, capture_output=True) except
  • id, acquire a new one subprocess.run(["kinit"], check=True, capture_output=False) def get_lates
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: redhat.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository app-sre/automated-actions appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 automated-actions-cli 
Create a fully-functional mini-app named 'TaskMaster' that leverages the 'automated-actions-cli' package to manage daily tasks efficiently. TaskMaster should allow users to create, update, delete, and view their tasks, all while integrating the core functionalities of the 'automated-actions-cli' package to automate repetitive actions.

### Step-by-Step Requirements:
1. **Setup Project Environment:**
   - Initialize a new Python project using virtualenv or venv.
   - Install the required packages including 'automated-actions-cli'.
2. **User Interface Design:**
   - Develop a simple command-line interface (CLI) where users can interact with the app.
   - Implement clear commands such as `add`, `edit`, `delete`, and `list` for managing tasks.
3. **Task Management Core Features:**
   - Users should be able to add new tasks with details like title, description, due date, and priority level.
   - Tasks should be stored locally in a structured format (e.g., JSON file).
4. **Integration with 'automated-actions-cli':**
   - Use 'automated-actions-cli' to set up scheduled reminders for upcoming tasks.
   - Automate the process of marking tasks as completed based on predefined criteria (e.g., after a certain time period if not marked as 'in progress').
5. **Advanced Features:**
   - Implement a feature to categorize tasks into different categories such as 'Work', 'Personal', etc.
   - Allow users to filter tasks by category, status (completed, pending), or due date.
6. **Testing and Validation:**
   - Write unit tests to ensure each feature functions correctly.
   - Validate the integration with 'automated-actions-cli' by testing the automation of reminders and task completion.
7. **Documentation:**
   - Provide a README.md file detailing how to install and use the application.
   - Include instructions on how to customize the automated actions through 'automated-actions-cli'.

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