sft-job-cleanup

sft-job-cleanup is an MLOps & model serving skill for AI agents, published by open-thoughts in the OpenThoughts-Agent repository on GitHub. Skillspace rates sft-job-cleanup F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.

Publish + clean up a finished LLaMA-Factory SFT job on a no-internet HPC cluster (Jupiter/Leonardo): cancel pending retries, drop intermediate checkpoints, HF-upload the model to its configured --hub_model_id, register in Supabase via manual_db_push (--training-type SFT default), and free disk. Covers the 8B path (root safetensors, direct upload), the 32B/ZeRO-3 path (consolidate shards → safetensors first), the Qwen3.5 preprocessor_config copy, the don't-upload-partials policy, and the hf-upload gotchas (tmux not nohup, `hf upload` not `-large-folder`, Leonardo sbatch-tunnel not login node). Use when an SFT fine-tune finishes and needs uploading + registering, or "run the SFT cleanup checklist". Distinct from RL cleanup (rl-agentic-job-cleanup) and datagen cleanup (datagen-job-cleanup).

Grade

F

Quality

15 / 100

Safety

Unsafe

GitHub stars

259

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