collect-node-data

collect-node-data is an MLOps & model serving skill for AI agents, published by cloudrift-ai in the emmy repository on GitHub. Skillspace rates collect-node-data F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.

Use this skill when the user wants to populate or refresh the autotune DB's node table (the cross-hardware search-tree node store) with data measured on a SPECIFIC GPU — e.g. "collect node data for an H200", "tune the goldens on a rented <GPU> and merge the nodes back", "gather cross-hardware node-store data", "populate / update the node table from <hardware>", "run the golden node sweep on a remote <GPU>". Rents a fresh single-GPU server (via start-remote-server; --billing-exempt for CloudRift), rsyncs + sets up emmy there, runs `emmy tune --dataset golden --explore-eps 0.25` (ε-greedy so the node data covers siblings the incumbent prior would skip), then merges the remote node rows into the local `~/.cache/emmy/autotune.db` (nodes table only, GPU-keyed so cards never collide), and tears the server down.

Grade

F

Quality

45 / 100

Safety

Risky

GitHub stars

66

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

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