AI Analysis
The package shows significant risks in network, shell, credential, and metadata areas, indicating potential misuse or vulnerabilities. While obfuscation risk is lower, the combination of these factors raises concerns about a possible supply-chain attack.
- High network and shell execution risks
- Potential credential misuse
- Suspicious metadata
Per-check LLM notes
- Network: The network patterns include interactions that could be used for unauthorized external communications, which is unusual and potentially risky.
- Shell: The shell execution patterns involve spawning processes that can interact with the system, which might indicate attempts to execute arbitrary commands or access sensitive information.
- Obfuscation: Base64 decoding is commonly used for data serialization and may not indicate malicious intent.
- Credentials: Direct extraction of environment variables such as tokens suggests potential misuse or insecure handling of secrets.
- Metadata: Suspicious non-HTTPS link and lack of maintainer history suggest potential risk.
Package Quality Overall: Low (4.8/10)
Test suite present — 3 test file(s) found
3 test file(s) detected (e.g. pyproject.toml)
Some documentation present
Detailed PyPI description (6177 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
385 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Found 6 network call pattern(s)
ta} to url: {url}") with httpx.Client() as client: response = client.post(url, headers=PYLy_html": body_html} with httpx.Client() as client: response = client.patch(url, headers=PYState.CLOSED.value} with httpx.Client() as client: response = client.patch(url, headers=PY/issues/{issue_id}" with httpx.Client() as client: response = client.get(url, headers=PYLO{issue_id}/threads" with httpx.Client() as client: response = client.get(url, headers=PYLOwith data: {data}") with httpx.Client() as client: response = client.post(url, headers=PYL
Found 1 obfuscation pattern(s)
e, exist_ok=True) data = base64.b64decode(content) if binary else content.encode(encoding) create
Found 6 shell execution pattern(s)
info"] = startupinfo subprocess.Popen(["rundll32", "url.dll,FileProtocolHandler", url], **popen_kwlable in WSL result = subprocess.run( ["cmd.exe", "/c", "echo", "%USERNAME%"], # noqs_stdio(debug) process = subprocess.Popen( cmd, stdout=stdout_target, stderr=seation_flags result = subprocess.run(cmd, **run_kwargs) # Exit with the same code as thetform == "win32": subprocess.Popen( cmd, stdin=subprocess.DEVNU) else: subprocess.Popen( cmd, stdin=subprocess.DEVNU
Found 1 credential access pattern(s)
Configuration GITHUB_TOKEN = os.getenv("GITHUB_TOKEN") PYLON_API_TOKEN = os.getenv("PYLON_API_TOKEN") PYLON_API_
No typosquatting candidates detected
Email domain looks legitimate: arcade.dev>
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:8000/docs
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully functional mini-game development platform that leverages the 'arcade-mcp' package to manage game tools and components. Your goal is to develop a simple yet engaging game creation tool where users can easily integrate various arcade-style games using pre-built components and tools provided by the 'arcade-mcp' package. This platform will allow users to create their own unique arcade games by selecting different game elements, such as game modes, characters, and backgrounds, all without needing deep programming knowledge. Key Features: - User-friendly interface for selecting game components like game modes, characters, and backgrounds. - Integration of 'arcade-mcp' to call upon external tools and services necessary for game creation and management. - Pre-configured templates for popular arcade games (e.g., Pac-Man, Space Invaders). - Real-time preview of the game as users select different components. - Ability to save and share custom games created on the platform. Step-by-Step Guide: 1. Set up a basic web application framework using Python's Flask or Django. 2. Integrate the 'arcade-mcp' package to handle the backend logic for calling game-related tools and services. 3. Design a user interface where users can browse through available game components and drag-and-drop them into their game. 4. Implement a real-time rendering system that updates the game preview based on user selections. 5. Develop a saving mechanism that allows users to store their game configurations locally or remotely. 6. Add functionality to share created games via a URL or download option. 7. Test the platform thoroughly to ensure smooth integration of 'arcade-mcp' functionalities and user-friendly experience.
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