AI Analysis
The package shows some signs of potential risk due to its high shell execution frequency, which could potentially be exploited if not properly sanitized. However, the low network and metadata risks suggest it is likely benign.
- High shell risk due to multiple subprocess spawns
- No significant network or metadata risks identified
Per-check LLM notes
- Network: The network call pattern is relatively benign and might be used for legitimate purposes like fetching resources or communicating with a service.
- Shell: Multiple instances of spawning subprocesses could indicate the package is executing external programs, which may pose a risk if not properly sanitized or controlled.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, but there are no other red flags.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (3596 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
14 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 1 network call pattern(s)
_stream(): async with httpx.AsyncClient(timeout=None) as client: async with client.strea
No obfuscation patterns detected
Found 4 shell execution pattern(s)
)] clingo_process[uuid] = subprocess.Popen(cmd, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=sjson["program"] result = subprocess.check_output( ["./run.sh"], input=program.encode(),") pyqasp_process[uuid] = subprocess.Popen(cmd, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=s") casper_process[uuid] = subprocess.Popen(cmd, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=s
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
1 maintainer concern(s) found
Author "Mario Alviano" 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 Python-based meal planner application named 'ChefMate' that integrates with the 'asp-chef-cli' package to fetch and execute various recipes from a curated list of popular ASP Chef recipes. Your application should allow users to browse through different categories of recipes (e.g., Breakfast, Lunch, Dinner), select a recipe, and then either view the steps to prepare it or directly execute the recipe using the CLI interface provided by 'asp-chef-cli'. Additionally, implement features such as saving favorite recipes, generating shopping lists based on selected recipes, and allowing users to rate and review recipes they have tried. Ensure that your application is user-friendly and provides clear instructions on how to interact with the 'asp-chef-cli' package to enhance the cooking experience.
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