feat: adds dockerfile to run it without installing python#18
Open
jcchavezs wants to merge 1 commit into
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This pull request adds support for running SkillSpector in a Docker container, making it easier to use the tool without requiring a local Python installation. The main changes include a new
Dockerfile, updates to theMakefileto support Docker builds, and expanded documentation in theREADME.mdwith Docker usage instructions.Docker support and build process:
Dockerfilebased on Chainguard's minimal Python image, implementing a two-stage build to create a self-contained environment for SkillSpector.Makefileto add adocker-buildtarget for building the Docker image, and included this new target in the help output. [1] [2] [3]Documentation:
README.mdwith a new section detailing how to build and run SkillSpector using Docker, including examples for scanning directories, using LLM analysis, and writing reports to the host filesystem.NOTE: when we publish the package we could also publish the docker image.