AI Analysis
Final verdict: SAFE
The Ascender Framework package shows minimal risks across all categories, with only moderate concerns about shell usage and metadata indicating a potentially new maintainer.
- Low network and obfuscation risks
- Moderate shell risk due to script execution
- Metadata suggests a new or less active maintainer
Per-check LLM notes
- Network: No network calls were detected, indicating no immediate risk related to network activities.
- Shell: The use of shell commands is primarily for package management and running scripts, which seems aligned with typical development practices, but could pose a risk if not properly sanitized.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secrets or credentials.
- Metadata: The maintainer has only one package, which might indicate a new or less active account.
Package Quality Overall: Medium (5.6/10)
◈ Medium
Test Suite
6.0
Partial test coverage signals detected
2 test file(s) detected (e.g. tests_app.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (2948 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
156 type-annotated function signatures detected in source
✦ High
Multiple Contributors
10.0
Active multi-contributor project
5 unique contributor(s) across 100 commits in ascenderteam/ascenderframeworkActive community — 5 or more distinct contributors
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)
e included in project subprocess.run( f"poetry init --name {kebab_case(project_name).r additional packages subprocess.run("poetry config virtualenvs.create true && poetry add ascendetry: return subprocess.call(f"poetry run python {source}/main.py {' '.join(self.extra)}"y_version = ( subprocess.check_output(["poetry", "--version"], text=True) .strip()check=True, shell=True ) # Installing framework within poetry's vetry add ascender-framework", shell=True, check=True) def create_project_files( self,
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository ascenderteam/ascenderframework appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "AscenderTeam" 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 ascender-framework
Create a fully-functional mini-app called 'TaskMaster' using the 'ascender-framework' package. TaskMaster is a simple yet powerful task management system designed to help users organize their daily tasks efficiently. This application will allow users to create, read, update, and delete tasks, as well as categorize them into different lists such as 'To Do', 'In Progress', and 'Completed'. Additionally, it will include features like user authentication, task prioritization, and a search functionality to find specific tasks quickly.
The app should follow these steps:
1. Set up a new project using the 'ascender-framework'.
2. Define the necessary models for Users and Tasks, including relationships between them.
3. Implement endpoints for CRUD operations on both Users and Tasks.
4. Integrate JWT-based authentication for securing the API endpoints related to task management.
5. Add functionality to categorize tasks into predefined lists ('To Do', 'In Progress', 'Completed').
6. Implement a priority level system for tasks, allowing users to set priorities (High, Medium, Low).
7. Develop a search feature that allows users to search for tasks based on keywords, categories, or priorities.
8. Ensure the application is well-documented and includes comprehensive error handling and validation.
9. Deploy the application to a cloud platform of your choice.
Throughout the development process, leverage the 'ascender-framework's modular structure to organize your codebase effectively, ensuring maintainability and scalability of the application.
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