القائمة
Run an external evaluator loop for a BO run using a pre-provisioned backend id.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Orchestrate an end-to-end chemistry or materials optimization study from a plain-English research question to BO execution and a paper draft.
BO execution layer — initializes a run from a resolved experiment spec, records observations, and continues through suggest/observe/report.
Initialize a BO run from a dataset or explicit search-space JSON.
Generate a final BO report and summarize optimization status.
Design and stabilize an expensive or fragile chemistry evaluator before BO setup.
Produce a lightweight chemistry or materials literature summary for research-agent, focused on baselines, key variables, and known constraints.
| name | bo-run-evaluator |
| description | Run an external evaluator loop for a BO run using a pre-provisioned backend id. |
Use this skill when the user or operator has already provisioned an external evaluation backend and wants the BO loop automated.
This is a low-level execution helper. It does not build backends or reveal labeled datasets.
uv run python -m bo_workflow.cli run-evaluator \
--run-id <RUN_ID> \
--backend-id <BACKEND_ID> \
--iterations <T> \
[--batch-size <N>]
suggest / observe flow when observations are supposed to come from a human or lab system directlyThe resulting observations are recorded back into bo_runs/<run_id>/observations.jsonl with source benchmark-evaluator.