alterly

v1.0.1 suspicious
5.0
Medium Risk

Alterly — AI memory system for SoCap. Give your AI a Rdzeń (memory palace).

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows a moderate level of risk due to its shell execution capabilities and the limited metadata provided by the author. While there is no evidence of direct malicious intent, the potential for unintended use of shell commands and the lack of detailed author information warrant further scrutiny.

  • Shell risk at 7/10
  • Sparse author metadata
Per-check LLM notes
  • Network: The network calls appear to be part of normal package functionality, possibly for updates or interaction with a service.
  • Shell: The shell execution patterns raise concern as they may indicate the package is designed to run external commands, which could be used for unintended purposes if not properly secured.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting the package is not attempting to steal secrets.
  • Metadata: The author's information is sparse, and the maintainer seems new or inactive, which raises some concerns.

📦 Package Quality Overall: Low (3.2/10)

○ 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 (945 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

  • 398 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 score 6.0

Found 4 network call pattern(s)

  • try: req = urllib.request.Request(url, data=body, headers=headers, method="POST")
  • thod="POST") with urllib.request.urlopen(req, timeout=HTTP_TIMEOUT_S) as resp:
  • e.quote(word)}" req = urllib.request.Request(url, headers={"User-Agent": "MemPalace/1.0"})
  • MemPalace/1.0"}) with urllib.request.urlopen(req, timeout=5) as resp: data = json.loa
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • "a") as log_f: proc = subprocess.Popen(cmd, stdout=log_f, stderr=log_f) _MINE_PID_FILE.write_te
  • a") as log_f: subprocess.run( [ _mempalace_py
  • silently.""" try: subprocess.Popen( ["notify-send", "--app-name=MemPalace", "--icon
  • h, "a") as log_f: subprocess.Popen( [ _mempalace_python(),
  • -> str: try: r = subprocess.run( ["git", "-C", str(cwd), *args], cap
  • r, str]: try: n = subprocess.run( ["git", "config", "--global", "user.name"],
✓ 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 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 alterly 
Create a personalized AI memory assistant called 'MemoryMentor' using the Python package 'alterly'. This application will serve as a digital memory palace for users, allowing them to store, retrieve, and organize memories and information efficiently. Here's how you can develop this application step-by-step:

1. **Setup**: Begin by installing the 'alterly' package. Ensure you have a basic understanding of its capabilities and how it can simulate a memory palace for storing and retrieving information.

2. **User Interface**: Design a simple yet intuitive user interface where users can interact with their personal memory palace. This could be a command-line interface or a web-based UI depending on your preference and expertise.

3. **Memory Storage**: Implement functionality that allows users to input memories or pieces of information into their memory palace. Use 'alterly' to structure these inputs in a way that mimics the spatial organization of a real memory palace, making retrieval easier and more effective.

4. **Search Functionality**: Develop a search feature that enables users to find specific memories based on keywords, dates, or other metadata. Utilize 'alterly's capabilities to enhance the precision and speed of these searches.

5. **Visualization Tools**: Integrate visualization tools that allow users to see the layout of their memory palace and navigate through it visually. This can help reinforce the spatial aspect of memory recall.

6. **Security Features**: Implement security measures to protect user data, ensuring that only authorized users can access and modify their memory palaces.

7. **Enhancements and Customization**: Allow users to customize their memory palace, adding personal touches such as themes or additional organizational structures. Also, consider integrating AI-driven enhancements that can suggest optimal ways to store new memories based on existing ones.

8. **Testing and Feedback**: Test the application thoroughly and gather feedback from users to identify areas for improvement. Use this feedback to refine and enhance the application over time.

By following these steps and leveraging the unique capabilities of the 'alterly' package, you'll create a powerful tool for enhancing memory and information management.

💬 Discussion Feed

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