wandb-primary

wandb-primary is a Model training & evaluation skill for AI agents, published by wandb in the senpai repository on GitHub. Skillspace rates wandb-primary C (77/100) and it passed the safety scan; the rating is based on static analysis only.

Comprehensive primary skill for agents working with Weights & Biases. Covers both the W&B SDK (training runs, metrics, artifacts, sweeps) and the Weave SDK (GenAI traces, evaluations, scorers). Includes helper libraries, gotcha tables, and data analysis patterns. Use this skill whenever the user asks about W&B runs, Weave traces, evaluations, training metrics, loss curves, model comparisons, or any Weights & Biases data — even if they don't say "W&B" explicitly. Also trigger on training-curve diagnostics questions — run health, divergence, overfit/convergence/plateau, spikes, LR-schedule/grad-norm/grad-histogram reading, dead layers, step-axis choice, and run comparisons.

Grade

C

Quality

77 / 100

Safety

Passed

GitHub stars

24

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 is a near-duplicate variant of another skill. 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.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.