| name | batch-scaling |
| description | Use when the user wants to run inference-time scaling on multiple prompts from a file (JSONL, CSV, or TXT). Applies to batch processing, evaluation runs, or dataset-level scaling. |
| allowed-tools | ["Bash(${CLAUDE_PLUGIN_ROOT}/scripts/its_batch_scale.sh:*)","Bash(${CLAUDE_PLUGIN_ROOT}/scripts/its_detect.sh:*)"] |
Batch Scaling
Run inference-time scaling on multiple prompts from a file.
Supported Input Formats
- JSONL — one JSON object per line with a
prompt or messages field
- CSV — must have a
prompt column
- TXT — one prompt per line
Step 1: Check Environment
"${CLAUDE_PLUGIN_ROOT}/scripts/its_detect.sh"
If config=missing, tell the user to run the setup-guide skill first.
Step 2: Run Batch Scaling
Call the batch scaling script with the input file and any overrides:
"${CLAUDE_PLUGIN_ROOT}/scripts/its_batch_scale.sh" [--algorithm ALG] [--budget N] [--model KEY] [--output FILE] <input-file>
The script loads config once and processes all prompts in a single process. Default output path is results/<input_name>_scaled.jsonl.
Step 3: Report Summary
The script outputs a JSON summary with total, succeeded, failed, failures, and output_file.
Report: "N/M prompts completed successfully. K failed. Results written to <output_file>"
If there were failures, list the line numbers and error messages.
