improving-python-coverage
improving-python-coverage is a Test suite operations & coverage skill for AI agents, published by streamlit in the streamlit repository on GitHub. Skillspace rates improving-python-coverage D (68/100) and it passed the safety scan; a judge model has also reviewed it.
Runs Python unit tests with coverage, analyzes coverage reports, and implements meaningful tests to increase coverage by ~0.2%. Use when you want to systematically improve Python test coverage with high-value test cases.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 45,243
Placed #1 of 2 when judged against its near-duplicates in Test suite operations & coverage.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic coverage-driven Python test improvement loop
Judge review
Placed #1 of 2 when judged against its near-duplicates in Test suite operations & coverage.
- Trigger
82 82 - Instructions
90 90 - Specificity
90 90 - Safety
85 85 - Disclosure
65 65 - Maintenance
72 72
More thorough than its sibling, with real handling of CI-vs-local coverage gaps and integration-test overlap.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.