dftworks-regression-testing
dftworks-regression-testing is a Test suite operations & coverage skill for AI agents, published by dftworks in the dftworks repository on GitHub. Skillspace rates dftworks-regression-testing C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use for selecting and running DFTWorks validation and regression checks after code changes in pw, workflow, control, crystal, or pspot. Map touched areas to the lightest sufficient matrix: parser/unit tests, host or Docker cargo check for pw, phase12 regression, spin MPI parity, HSE06 regression, Hubbard +U regression, memory_estimate smoke, symmetry verification, workflow pipeline checks, and targeted Wannier example runs.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 64
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- GPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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