🤖 AI Analysis

Final verdict: SAFE

The package has a low risk score with no direct evidence of malicious activities such as network calls or shell executions. While there is some obfuscation and low maintenance effort observed, these alone do not conclusively point to a supply-chain attack.

Low network and shell risk
Some obfuscation present
No clear credential risks

Per-check LLM notes

Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity without further context.
Shell: No shell execution patterns detected, reducing immediate concerns about the package executing unauthorized commands.
Obfuscation: The use of base64 decoding suggests some level of obfuscation but does not necessarily indicate malicious intent.
Credentials: No clear patterns indicating credential harvesting were detected.
Metadata: The package shows signs of low maintenance and effort, but there are no explicit red flags indicating malicious intent.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

Test runner config found: pyproject.toml

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (7078 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

628 type-annotated function signatures detected in source

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

ta: str) -> bytes: return base64.b64decode(data) class OTSCheckpointSaver(BaseCheckpointSaver[str]):

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agentrun-sdk

Develop a fully functional mini-app called 'AgentTaskMaster' using the Alibaba Cloud Agent Run SDK (agentrun-sdk). This app will serve as a task management system for users to create, assign, track, and manage tasks using Alibaba Cloud's capabilities. Here are the steps and features you need to implement:

1. **Setup**: Initialize a new Python project and install the 'agentrun-sdk'. Ensure all dependencies are properly managed.
2. **Authentication**: Implement user authentication through Alibaba Cloud services. Users should be able to log in securely.
3. **Task Creation**: Allow authenticated users to create tasks with details such as title, description, due date, and priority level.
4. **Task Assignment**: Enable users to assign tasks to other users within the same organization. Tasks should have a status indicating whether they are pending, in progress, completed, or overdue.
5. **Task Tracking**: Provide a dashboard where users can view their assigned tasks and track their progress. Include filters for sorting tasks based on priority, due date, and status.
6. **Notifications**: Integrate notifications for task updates, such as when a task is assigned, updated, or completed. Use Alibaba Cloud's notification services for real-time alerts.
7. **Reports & Analytics**: Offer analytics on task completion rates, average task duration, and other metrics to help organizations improve productivity.
8. **Security & Compliance**: Ensure that all data handling complies with relevant security standards and regulations. Utilize Alibaba Cloud's security features to protect user information and task details.

Throughout the development process, utilize the 'agentrun-sdk' package to interact with Alibaba Cloud services efficiently. This includes setting up secure connections, managing user sessions, and processing task-related operations. The goal is to create a robust, scalable, and user-friendly task management tool that leverages the power of Alibaba Cloud.