AI Analysis
Final verdict: SAFE
The package is deemed safe with a low risk score due to the absence of risky behaviors such as shell execution, obfuscation, and credential harvesting. The metadata risk is slightly elevated due to the maintainer having only one package.
- Low risk scores across all categories.
- Maintainer has only one package, slightly raising metadata risk.
Per-check LLM notes
- Network: The detection of network calls is expected as the package likely interacts with an API.
- Shell: No shell execution patterns detected, indicating no immediate risk from this aspect.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Medium (5.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (6734 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
266 type-annotated function signatures detected in source
✦ High
Multiple Contributors
10.0
Active multi-contributor project
5 unique contributor(s) across 100 commits in kurusugawa-computer/annofab-api-python-clientActive community — 5 or more distinct contributors
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
pi/v1" self.session = requests.Session() self.tokens: Tokens | Pat | None = None
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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository kurusugawa-computer/annofab-api-python-client appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Kurusugawa Computer Inc." 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 annofabapi
Create a task management utility for Annofab using the 'annofabapi' Python package. This utility will help users streamline their project management tasks on Annofab by automating certain processes. Here’s a detailed breakdown of what your utility should achieve: 1. **User Authentication**: Allow users to authenticate via their Annofab credentials. Use the 'annofabapi' package to handle authentication and retrieve the necessary access tokens. 2. **Task Listing**: Develop a feature that lists all tasks within a specified project. Users should be able to filter these tasks based on status (e.g., pending, in progress, completed). 3. **Task Creation**: Implement functionality to create new tasks within a project. Users should be able to specify details such as task name, description, due date, and assignee. 4. **Task Update**: Provide a way for users to update existing tasks, including changing the status, updating the due date, and modifying the task description. 5. **Task Deletion**: Include a feature to delete tasks from the project, ensuring users have a confirmation prompt before proceeding. 6. **Progress Tracking**: Integrate a dashboard-like interface that provides an overview of the project’s progress, showing the number of tasks in each status. 7. **Notifications**: Set up a system where users receive notifications (via email or SMS) when tasks reach certain milestones (e.g., completion, overdue). 8. **Customization Options**: Allow users to customize their experience by setting preferences like notification frequency, preferred view layouts, etc. **Utilizing 'annofabapi'**: - For user authentication, use 'AnnofabApi.auth.login_with_api_key'. - To list tasks, utilize 'AnnofabApi.task.list_tasks'. - For creating tasks, use 'AnnofabApi.task.create_task'. - To update tasks, implement 'AnnofabApi.task.update_task'. - Task deletion can be handled with 'AnnofabApi.task.delete_task'. - For progress tracking, aggregate data from task listings and display it accordingly. - Notifications can be triggered based on events detected through task updates and statuses. - Customize the utility by storing user preferences locally or remotely. This utility aims to simplify the management of Annofab projects, making it easier for users to stay organized and efficient.
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