aw_agents

v0.1.2 suspicious
5.0
Medium Risk

AI agents for agentic workflows deployable to multiple chatbot platforms

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of obfuscation that could be used for evading detection, raising concerns about its true intentions. However, there is no concrete evidence of malicious activities like credential harvesting or shell execution.

  • Obfuscation risk of 6/10
  • Low package activity and engagement
Per-check LLM notes
  • Network: The use of requests.Session() with custom headers is common for making HTTP requests and may be legitimate depending on the package's functionality.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: The code patterns suggest an attempt to dynamically import packages using obfuscated methods which may indicate evasion techniques.
  • Credentials: No clear evidence of credential harvesting was detected in the provided code snippets.
  • Metadata: Low activity and engagement suggest potential low quality or malicious intent, but insufficient evidence for high risk.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 2 test file(s) found

  • Test runner config found: pyproject.toml
  • 2 test file(s) detected (e.g. test_download.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (18999 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 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 41 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 10 commits in thorwhalen/aw_agents
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • quests self.session = requests.Session() self.session.headers.update({"User-Agent": user_ag
⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

  • red: try: __import__(pkg.replace("-", "_")) print(f" ✓ {pkg}") except ImportError
  • mcp: try: __import__(pkg) print(f" ✓ {pkg}") except ImportError:
  • api: try: __import__(pkg) print(f" ✓ {pkg}") except ImportError:
✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Thor Whalen" 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 aw_agents 
Develop a versatile task management assistant named 'TaskMaster' using the Python package 'aw_agents'. This application will serve as a bridge between various chatbot platforms and your personal or team task management needs. TaskMaster should be capable of creating tasks, setting reminders, tracking progress, and updating status across different platforms such as Slack, Discord, or any other chatbot service where 'aw_agents' supports deployment.

### Key Features:
1. **Task Creation:** Users should be able to create new tasks by simply sending a message to TaskMaster. Each task must include a title, description, due date, and priority level.
2. **Reminders & Notifications:** TaskMaster will automatically send reminders for upcoming deadlines and updates on task statuses via the chatbot platform.
3. **Progress Tracking:** Users can update the progress of their tasks directly through messages to TaskMaster. These updates will reflect in real-time within the chatbot interface.
4. **Status Updates:** TaskMaster will periodically check the status of all assigned tasks and report back to users on any changes or issues that need attention.
5. **Integration Capabilities:** Ensure that TaskMaster integrates seamlessly with popular chatbot platforms. Use 'aw_agents' to deploy the assistant to these platforms easily.
6. **User Interface:** Design a simple yet effective command-line interface for managing tasks outside of chatbot platforms if necessary.

### Utilizing 'aw_agents':
- Leverage the 'aw_agents' package to deploy TaskMaster as an AI agent to multiple chatbot platforms. This will allow users to interact with TaskMaster through familiar interfaces while benefiting from its advanced task management capabilities.
- Implement the deployment functionality of 'aw_agents' to ensure that TaskMaster can be easily set up and configured for use on any supported platform without needing extensive technical knowledge.
- Explore additional features provided by 'aw_agents', such as custom agent training or platform-specific customization, to enhance TaskMaster's functionality and user experience.

💬 Discussion Feed

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