test
test is a Test authoring & frameworks skill for AI agents, published by NVIDIA-BioNeMo in the boltz-cp repository on GitHub. Skillspace rates test D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Write and run multi-rank pytest parity tests that prove a CP implementation is numerically equivalent to its serial reference, using mp.spawn / spawn_multiprocessing as in the Boltz-CP test framework. Covers unit, layer-integration, module-integration, and workflow-integration levels; handles missing test data by asking the user or synthesizing random features in the correct format; and enforces the anti-vacuous rules (serial ground truth, explicit random grad_output, fp64 default tolerances, sharding-active and replicated-identical assertions). Also covers a second, non-parity class — property / invariant tests (e.g. test_rng_entropy) that assert a structural invariant such as RNG entropy when there is no serial value oracle. Use to verify any output of shard_data_feats or dtensor_modules.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 51
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
- 72 / 100
- Maturity
- Structured: ships references or scripts
- 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
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