artifold

v0.6.0 suspicious
4.0
Medium Risk

Local-first library for your AI-generated HTML artifacts (Claude, ChatGPT, v0, …).

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to potential uncontrolled shell command execution and network requests. While there are no clear signs of malicious intent, further scrutiny is advised.

  • Moderate shell risk due to potential unauthorized operations.
  • Potential risks associated with network requests.
Per-check LLM notes
  • Network: The network requests appear to be checking URLs, which could be legitimate but should be reviewed for specific destinations.
  • Shell: Executing shell commands can be risky if not controlled properly; these commands seem to interact with the system and GitHub CLI, raising concerns about potential unauthorized operations.
  • 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 may indicate a new or less active account, but no other red flags were found.

📦 Package Quality Overall: Low (4.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/shubhamgoel27/artifold#readme
  • Detailed PyPI description (12615 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

  • 85 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 20 commits in shubhamgoel27/artifold
  • Single author but highly active (20 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • try: req = urllib.request.Request(url, method="HEAD",
  • "no-cache"}) with urllib.request.urlopen(req, timeout=5) as r: if 200 <= r.st
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • er() == "darwin": subprocess.Popen(["open", str(result)], stdout=s
  • om/")) try: out = subprocess.run(["gh", "--version"], capture_output=True, text=True)
  • (gh not installed)") r = subprocess.run(["gh", "auth", "status"], capture_output=True, text=True)
  • ported platform") subprocess.Popen(args, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
  • .CompletedProcess: return subprocess.run(cmd, capture_output=True, text=True,
  • try: p = subprocess.run(cmd, input=text, text=True, c
✓ 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 shubhamgoel27/artifold appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Shubham Goel" 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 artifold 
Create a web-based application named 'AI Artisan' using Python and the 'artifold' package. This application will serve as a platform where users can generate, manage, and share AI-generated HTML content locally without relying on external services. The application should have the following core functionalities:

1. User Authentication: Implement a simple user registration and login system to allow users to create and manage their own AI-generated HTML content.
2. Content Generation: Utilize the 'artifold' package to integrate various AI models (such as Claude, ChatGPT, etc.) to generate HTML content based on user inputs. Users should be able to specify parameters like the type of content (blog post, article, etc.), tone, and style.
3. Local Storage: Ensure that all generated content is stored locally on the user's device. Use 'artifold' to facilitate local storage of these artifacts.
4. Content Management: Allow users to view, edit, delete, and organize their generated HTML content. Include a feature to preview the HTML content directly within the application.
5. Sharing Feature: Enable users to export their HTML content to share via email, download, or embed in other platforms.
6. Collaboration: Integrate a basic collaboration feature allowing multiple users to work on the same HTML artifact simultaneously. Use 'artifold' to manage version control and conflict resolution during collaborative editing.
7. Analytics Dashboard: Provide users with a dashboard showing statistics about their usage, such as the number of artifacts generated, most used AI models, etc.

For each functionality, describe how you would use the 'artifold' package to achieve the desired outcome, emphasizing its role in generating, storing, and managing AI-generated HTML content locally.

💬 Discussion Feed

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