test-writing
test-writing is a Test authoring & frameworks skill for AI agents, published by NVIDIA in the torch-harmonics repository on GitHub. Skillspace rates test-writing D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Guide for writing tests in torch-harmonics. Use this skill whenever the user asks to add tests, check or extend test coverage, write a new test class, test a new layer or kernel, or add distributed tests. Also use when the user asks about tolerance values, how to compare tensors, how to structure distributed test infrastructure, or how to test gradients. Covers serial tests in test_convolution.py and distributed tests in test_distributed_*.py.
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 687
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
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.