AI Analysis
The package is deemed safe based on low risks across all categories except for a slightly elevated obfuscation risk. This does not strongly indicate a supply-chain attack.
- Unusual obfuscation pattern
- No network calls, shell execution, or credential risks detected
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
- Obfuscation: The obfuscation pattern observed is unusual and could indicate an attempt to hide version information or dependencies, but without more context, it's hard to determine if it's malicious.
- Credentials: No clear patterns indicative of credential harvesting were found.
Package Quality Overall: Low (4.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (1203 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project14 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 100 commits in aliyun/alibabacloud-python-sdkSingle author but highly active (100 commits)
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
bacloud-python-sdk" VERSION = __import__(PACKAGE).__version__ REQUIRES = [ "darabonba-core>=1.0.0, <2.0.0
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: alibabacloud.com
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
Repository aliyun/alibabacloud-python-sdk appears legitimate
1 maintainer concern(s) found
Author "Alibaba Cloud SDK" 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 task scheduling and management mini-application using the 'alibabacloud-schedulerx320240624' Python package. This application will allow users to create, manage, and monitor scheduled tasks on Alibaba Cloud's SchedulerX3 service. The application should include the following features: 1. User Authentication: Implement a simple authentication system where users can sign up and log in to access their task schedules. 2. Task Creation: Allow users to define new tasks, specifying the task name, execution time, frequency, and the associated Alibaba Cloud function or service endpoint. 3. Task Management: Provide options for users to modify, delete, and pause/resume existing tasks. 4. Task Monitoring: Display the status of all tasks (running, paused, failed, etc.) and provide logs for each task's execution history. 5. Notification System: Integrate email notifications for critical task statuses such as failure or completion. To achieve these features, you'll utilize the 'alibabacloud-schedulerx320240624' package to interact with the SchedulerX3 service. Specifically, use its functions to create, update, query, and delete tasks. Additionally, leverage the package to monitor task statuses and retrieve execution logs. This project aims to demonstrate the capabilities of the SchedulerX3 service while providing a practical tool for managing scheduled tasks on Alibaba Cloud.
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