parallelism
parallelism is a Test suite operations & coverage skill for AI agents, published by onsi in the ginkgo repository on GitHub. Skillspace rates parallelism D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Run Ginkgo suites in parallel — ginkgo -p / --procs, the separate-process (not goroutine) model, SynchronizedBeforeSuite/SynchronizedAfterSuite vs BeforeSuite, GinkgoParallelProcess() for sharding ports/tmpdirs/databases, building a binary once via gexec, and piping child-process output to GinkgoWriter. Use when parallelizing a suite, speeding up integration tests, fixing parallel-only flakes/races, sharding external resources, or choosing between BeforeSuite and SynchronizedBeforeSuite.
- 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. Running Ginkgo suites in parallel; general framework usage.
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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