AI Analysis
The package exhibits high obfuscation risk and has metadata concerns, which raises suspicion about its authenticity and purpose. However, there is no concrete evidence of malicious intent.
- High obfuscation risk
- Missing author metadata
Per-check LLM notes
- Network: Network calls are common in packages that require internet access for functionality, but should be reviewed for destination and data types being transmitted.
- Shell: No shell execution patterns detected, indicating low risk of direct system command execution.
- Obfuscation: The observed obfuscation pattern is suspicious and may indicate an attempt to hinder code analysis or reverse engineering.
- Credentials: No clear evidence of credential harvesting is present, but caution should still be exercised.
- Metadata: The author's name is missing and the account seems new or inactive, raising some concerns but not conclusive evidence of malice.
Package Quality Overall: Medium (5.8/10)
Test suite present β 27 test file(s) found
Test runner config found: pyproject.toml27 test file(s) detected (e.g. test_backoff.py)
Some documentation present
Documentation URL: "Documentation" -> https://akribes.ai/sdks/python/Detailed PyPI description (5214 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: Typed562 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 7 commits in PodestaAI/akribes-sdksSingle author with few commits β possibly a personal or throwaway project
Heuristic Checks
Found 2 network call pattern(s)
self._http_client = httpx.AsyncClient(timeout=to_seconds(self.timeout)) return self._hself._sse_client = httpx.AsyncClient(timeout=None) return self._sse_client async
Found 1 obfuscation pattern(s)
otel=tracer, retry=__import__("akribes_sdk").RetryPolicy.none(), ) as client: from akribes_s
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: podesta.ai>
All external links appear legitimate
Repository PodestaAI/akribes-sdks appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a real-time task management mini-app using the Python package 'akribes'. This app will allow users to manage their tasks asynchronously through an Akribes workflow server, providing a seamless experience for adding, updating, and tracking tasks. Hereβs how you can build it: 1. **Setup Environment**: Start by setting up your Python environment. Ensure you have 'akribes' installed, which provides the necessary tools for interacting with the Akribes workflow server asynchronously. 2. **Define Core Functionality**: Implement functions to add new tasks, update existing tasks, and mark tasks as completed or pending. Each task should include details such as title, description, due date, and status. 3. **User Interface**: Design a simple command-line interface (CLI) where users can interact with the app. Users should be able to see a list of all their tasks, select specific tasks to view more details, and modify them as needed. 4. **Asynchronous Operations**: Utilize 'akribes' to handle all operations asynchronously. This means that while one operation is being processed, others can still be initiated or queried without waiting for the first to complete. For example, a user could start adding a new task, then immediately check the status of another task without waiting for the first task to be fully added. 5. **Error Handling**: Implement robust error handling to deal with issues like network errors, invalid inputs, or server-side errors gracefully. Ensure the app provides meaningful feedback to the user when something goes wrong. 6. **Task Synchronization**: Allow users to synchronize their tasks with the Akribes workflow server regularly. This ensures that any changes made directly on the server or through other clients are reflected in the local app and vice versa. 7. **Advanced Features** (Optional): Consider adding advanced features such as task categorization, priority levels, reminders for upcoming deadlines, and integration with external calendars or email notifications for task updates. 8. **Documentation & Testing**: Write clear documentation for both users and developers explaining how to use the app and how to integrate it into larger workflows. Also, ensure thorough testing of all functionalities to guarantee reliability and performance. This project aims to showcase the capabilities of 'akribes' in managing asynchronous workflows efficiently and effectively.