AI Analysis
Final verdict: SAFE
The package shows minimal risks across all assessed categories. The metadata risk is slightly elevated due to the author having only one package, but there are no other red flags.
- Low network and shell execution risks.
- No obfuscation or credential harvesting detected.
- Metadata risk noted due to single package by author.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the SDK requires it for functionality.
- Shell: No shell execution detected, reducing risk of command injection or privilege escalation.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Low risk due to no suspicious flags, but note that the author has only one package which might indicate a new or less active account.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
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: active-4.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository earendil-works/absurd appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Armin Ronacher" 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 absurd-sdk
Create a Python-based utility named 'TaskMaster' that leverages the 'absurd-sdk' package to manage and execute tasks durably using PostgreSQL as the backend storage. TaskMaster will serve as a robust tool for developers and system administrators to schedule, monitor, and manage long-running or periodic tasks in their environments. Here’s a detailed plan on how to build this utility: 1. **Project Setup**: Initialize a new Python project and install the required packages, including 'absurd-sdk'. Make sure your development environment has PostgreSQL installed. 2. **Database Configuration**: Configure PostgreSQL as the database backend for storing task details and execution statuses. Use 'absurd-sdk' to establish a connection to the PostgreSQL database and set up necessary tables for task management. 3. **Core Functionality**: - **Task Creation**: Implement a function to create tasks. Each task should have a unique identifier, description, start time, end time, status (queued, running, completed, failed), and any other relevant metadata. - **Task Execution**: Utilize 'absurd-sdk' to enqueue tasks for execution. Ensure tasks are executed based on their scheduled times and handle retries for failed tasks automatically. - **Status Updates**: Provide functionality to update the status of tasks as they progress through different stages (e.g., from 'queued' to 'running', then 'completed'). - **Task Monitoring**: Develop a feature to monitor the status of all tasks in real-time. This could include a simple CLI interface or a web-based dashboard. 4. **Advanced Features**: - **Scheduling**: Allow users to define schedules for recurring tasks (e.g., daily backups). - **Notifications**: Integrate email or SMS notifications for critical events like task failures. - **Logs and Auditing**: Maintain logs for all task executions and changes in task status for auditing purposes. 5. **Testing and Documentation**: Write comprehensive tests for each feature to ensure reliability. Document the setup process, API usage, and best practices for deploying TaskMaster in production. By following these steps, you'll develop a powerful yet user-friendly utility that simplifies the management of complex, long-running tasks.