filtering
filtering is a Test suite operations & coverage skill for AI agents, published by onsi in the ginkgo repository on GitHub. Skillspace rates filtering D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Run a subset of a Ginkgo suite — Pending/PIt/XIt, runtime Skip, programmatic Focus/FIt (and ginkgo unfocus), Label with the --label-filter query language and label sets, suite-level labels, SemVerConstraint/--sem-ver-filter, --focus/--skip and --focus-file/--skip-file, the filtering precedence rules, and --fail-on-pending/--fail-on-empty. Use when you want to run, skip, focus, label, or version-gate specs, or debug why specs were or weren't selected.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 9,025
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Ginkgo spec filtering and labels; any Ginkgo suite.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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