adopt-tiering
adopt-tiering is a Test authoring & frameworks skill for AI agents, published by rustyrazorblade in the skills repository on GitHub. Skillspace rates adopt-tiering D (65/100) and it passed the safety scan; the rating is based on static analysis only.
One-time migration that splits a repo's existing test suite into the fast unit tier and the slow integration tier the flow test-tiering model assumes — classify tests by evidence (container/I-O/timing) and let the compiler + test timings arbitrate, physically separate them (Gradle source set + classpath scoping, or Rust src/ vs tests/ + nextest profiles), wire the CI failures artifact, and open a PR. Run once per repo, before test tiering applies. See docs/workflow.md ("Test tiering"). Never merges.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 39
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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