Publish SkillSpector to PyPI for easier installation and integration
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- Dominant language
- Python
- Stars
- 17.9k
- Forks
- 1.5k
- Avg merge
- 5d 10h
- Merged PRs (30d)
- 66
Description
Hi SkillSpector team,
First, thank you for building and open-sourcing this project. We really like the work and the direction of the scanner.
We wanted to ask if you could consider publishing SkillSpector to PyPI.
Right now, installation is mainly from source/git, which works, but a PyPI package would make adoption much easier for teams using standard Python workflows.
If this is already on your roadmap, we’d love to know the expected timeline.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the current source/git installation flow and any existing packaging or release configuration in the repository. Done should mean SkillSpector is available on PyPI and can be installed through a standard Python workflow, but the issue does not identify the files or tests involved.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- release
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100