build_infra
build_infra is an Integration & environment testing skill for AI agents, published by NVIDIA-BioNeMo in the boltz-cp repository on GitHub. Skillspace rates build_infra D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Probe and establish the distributed test infrastructure for CP development. Inventories local GPUs (count, model, memory, NVLink topology), checks the software stack (Python, PyTorch+CUDA, NCCL, torch.distributed), and runs shipped smoke tests for batch_isend_irecv P2P, all_gather, all_reduce, reduce_scatter, and a DTensor round-trip. Maps the GPU count to whether 2D CP is testable (2D needs >=4 GPUs; full integration wants 8). When insufficient local GPUs are available, generates a SLURM submission template and guides the user to provide cluster access. Records docs/cp_infra.md. Use after learn_context, before shard_data_feats / dtensor_modules / test.
- Grade
- D
- Quality
- 62 / 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
- 78 / 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
- 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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