{"id":80907,"plugin_id":"plugin_asdk_app_6adb63520af881918111ac68968e4182","kind":"skill","collection_source":"plugin_package","comparison_source":null,"observed_at":"2026-11-04T12:10:07.864Z","digest":"1971f25a2c93f9f4b7dd35a3e5c3acf654e15cf97812f80756ff090d8e2d3107","against":null,"payload":{"description":"Start and monitor authorized fine-tuning jobs with explicit cost approval.","included_files":[{"relative_path":"agents/openai.yaml","size_in_bytes":248}],"name":"monarch-training","skill_md_contents":"---\nname: monarch-training\ndescription: Start and monitor authorized fine-tuning jobs with explicit cost approval.\n---\n\n# Manage Monarch training jobs\n\nUse `list_available_gpus`, `search_datasets` and `list_models` to choose inputs. `list_training_jobs` and `get_training_job` inspect existing training state. Use `start_training_job` only after confirming the model, dataset and expected costs; the tool requires `confirm_billable=true`. `cancel_training_job` requires a specific job ID and explicit `confirm_cancel=true`. If submission is uncertain, inspect jobs before retrying.\n\n## Safety and scope\n- All account data and actions require the signed-in Monarch account. Use only the tools explicitly present in this customer MCP; do not invent unlisted operations.\n- Never infer compute availability, GPU pricing, deployment status, resource ownership or results that the API has not returned.\n- Confirm budget and expected effects before real inference, model training or cancellation. Sandbox inference is simulated rather than a live model completion.\n- Do not initiate purchases, top-ups, payouts, external publications or irreversible infrastructure changes from this plugin.\n- Do not request or output passwords, credentials, access tokens, or private connection secrets.\n- When the requested action is not implemented as a listed tool, state the limitation instead of using a generic executor.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}