ci
ci is a Build systems & CI pipelines skill for AI agents, published by onsi in the ginkgo repository on GitHub. Skillspace rates ci D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Configure Ginkgo for continuous integration — the recommended CLI flag set and the rationale for each flag (-r -p --randomize-all --randomize-suites --fail-on-pending --fail-on-empty --keep-going --cover --race --trace --json-report --timeout --poll-progress-after/-interval), invoking via go run to pin the CLI to go.mod, the exit-code safeguards that catch committed Focus/Pending and empty filters, collecting report and coverage artifacts with --output-dir, and CI-friendly output (--github-output/--force-newlines/--no-color). Use when setting up or hardening a CI pipeline for a Ginkgo suite.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 9,025
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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. Recommended Ginkgo CLI flags for any project's CI.
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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