high

The RUN apt-get --fix-broken install command is concerning. It lacks the -y flag, which will cause it to fail in non-interactive Docker builds by waiting for user confirmation. Additionally, its presence suggests an underlying issue with package dependencies that should ideally be resolved directly, rather than patched with --fix-broken. If this command is essential, please add the -y flag.

RUN apt-get --fix-broken install -y

high

The list_skills function performs synchronous file I/O operations (zipfile.ZipFile, zip_ref.extractall, os.remove). In an asyncio application, these blocking calls will freeze the event loop, making the server unresponsive to other requests, especially if handling large ZIP files. These operations should be run in a separate thread pool to avoid blocking, for example by using loop.run_in_executor.

medium

To optimize the Docker image by reducing the number of layers, you can chain the curl command for the Node.js setup script and the apt-get install command into a single RUN instruction.

RUN curl -fsSL https://deb.nodesource.com/setup_22.x | bash - && apt-get install -y nodejs

medium

Similar to the Node.js installation, you can combine the npm install and npx playwright install commands into a single RUN instruction. This will reduce the number of layers in the Docker image, leading to a smaller image size and potentially faster builds.

RUN npm install playwright@1.53.0 -g && npx playwright@1.53.0 install

medium

The example directory structure includes a hardcoded, user-specific path (/Users/manish/...). This could be confusing for other users setting up the environment. It would be better to use a generic path, such as ~/.coderunner/..., to represent the user's home directory.

medium

This prompt file contains several typos. Correcting them will improve clarity and ensure the LLM interprets the instructions as intended.

• Line 7: conatiner should be container.
• Line 11: avaialble should be available, wchihc should be which, and wantg should be want.
• Line 13: alwasys should be always.
• Line 15: teh should be the.

medium

The except Exception: return {} is too broad and will silently swallow any errors during frontmatter parsing (e.g., permission errors, malformed content). This makes debugging very difficult. It's better to at least log the exception before returning an empty dictionary.

medium

The docstring for list_skills states that it returns a "JSON string", but the function actually returns a formatted, multi-line string intended for human reading. The docstring should be updated to accurately describe the return value.

medium

The crop_and_rotate function manually closes image resources. It's more robust and Pythonic to use a with statement for resource management, as it ensures resources are closed correctly even if errors occur. The PIL.Image object supports the context manager protocol, so you can wrap the Image.open() call in a with block and remove the manual .close() calls.

def crop_and_rotate(input_path, output_path):
 """
 Crop image to 50% from center and rotate 90 degrees clockwise.

 Args:
 input_path: Path to input image file
 output_path: Path to save the processed image
 """
 print(f"Opening image: {input_path}")
 with Image.open(input_path) as img:
 original_size = img.size
 print(f"Original image size: {original_size}")
 # Crop to 50% from center
 width, height = img.size
 new_width = width // 2
 new_height = height // 2
 # Calculate crop box (left, top, right, bottom)
 left = (width - new_width) // 2
 top = (height - new_height) // 2
 right = left + new_width
 bottom = top + new_height
 cropped = img.crop((left, top, right, bottom))
 print(f"Cropped image size: {cropped.size}")
 # Rotate 90 degrees clockwise (using ROTATE_270 which is equivalent to 90° clockwise)
 rotated = cropped.transpose(Image.ROTATE_270)
 print(f"Final image size after rotation: {rotated.size}")
 # Save the result
 rotated.save(output_path)
 print(f"Processed image saved to: {output_path}")
 # Print summary
 print(f"\n✓ Successfully processed image")
 print(f" Input: {input_path}")
 print(f" Output: {output_path}")
 print(f" Original size: {original_size}")
 print(f" Cropped size: {cropped.size}")
 print(f" Final size: {rotated.size}")