alfred-vault

v1.0.0 suspicious
4.0
Medium Risk

Personal agentic infrastructure. Self-hosted. Always on.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to potential misuse of network calls and execution of subprocesses, despite showing no clear signs of malicious intent.

  • Network calls to localhost which could be misused for C2
  • Execution of subprocesses including 'node' and 'openclaw' commands
Per-check LLM notes
  • Network: Network calls to localhost suggest internal API usage but could be misused for C2 if the endpoint is external.
  • Shell: Execution of subprocesses including 'node' and 'openclaw' commands may indicate legitimate functionality but also pose a risk for executing arbitrary code, potentially leading to system compromise.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows low engagement and poor metadata quality, but there are no explicit signs of malicious intent.

📦 Package Quality Overall: Low (4.8/10)

◈ 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 (7752 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

  • 309 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in ssdavidai/alfred
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • import httpx resp = httpx.get("http://localhost:11434/api/tags", timeout=5) return
  • try: async with httpx.AsyncClient(timeout=self.timeout) as client: # Start a c
  • g.method) async with httpx.AsyncClient(timeout=self.config.timeout) as client: try:
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • 1) try: result = subprocess.run(command, env=env) except FileNotFoundError: prin
  • sion, } try: subprocess.run([node, str(js_path)], env=env) except KeyboardInterrupt:
  • _session"] = True proc = subprocess.Popen(cmd, **kwargs) return proc.pid # ---------------------
  • t in agents: result = subprocess.run( ["openclaw", "agents", "add", agent, "--workspa
  • Ollama...") result = subprocess.run( ["bash", "-c", "curl -fsSL https://ollama.com/i
  • ng Ollama server...") subprocess.Popen( ["ollama", "serve"], stdout=subproc
✓ 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 ssdavidai/alfred appears legitimate

⚠ 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 alfred-vault 
Create a personal task management and automation mini-app using the 'alfred-vault' package. This app will serve as a self-hosted, always-on personal assistant that helps manage tasks, reminders, and automate simple workflows. The app should allow users to add tasks, set reminders, and create basic automation scripts that run periodically. Utilize 'alfred-vault' to host the backend services that support these functionalities, ensuring they are always available without relying on external services. Here are the steps and features to implement:

1. **Setup Alfred-Vault**: Begin by setting up an instance of 'alfred-vault'. Ensure it's configured to run continuously and securely.
2. **Task Management Interface**: Develop a simple command-line interface (CLI) where users can add tasks, view their list of tasks, and mark tasks as completed.
3. **Reminder System**: Implement a feature that allows users to set reminders for specific tasks. These reminders should notify the user via email or SMS at the specified time.
4. **Automation Scripts**: Allow users to write and store simple automation scripts within the app. These scripts should be able to interact with 'alfred-vault' to perform actions like fetching data, executing other scripts, etc.
5. **Scheduling Automation**: Enable the scheduling of these automation scripts to run at regular intervals or based on specific events.
6. **Security Features**: Incorporate basic security measures such as user authentication to ensure only authorized users can access and modify their tasks and scripts.
7. **Monitoring and Logging**: Set up monitoring and logging capabilities so that any issues or errors in the system can be tracked and resolved efficiently.

Utilize 'alfred-vault' to handle the storage and processing of tasks, reminders, and automation scripts. Ensure that all data is stored securely and that the system remains robust and reliable.

💬 Discussion Feed

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