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eval-runlisted

Launch a model evaluation batch. Use when running interactive/foreground eval runs — parameter collection, pre-flight checks, execution, and post-run analysis. NOT for: long-running batches that need tmux isolation (use overnight-eval instead).
SamyakJhaveri/loam · ★ 0 · AI & Automation · score 71
Install: claude install-skill SamyakJhaveri/loam
# Eval Batch Launcher Launch a model evaluation batch with automatic parameter collection, exclusion checks, API key verification, and post-batch analysis. **Trigger:** When user types `/eval-run` with optional arguments. ## Arguments - `$ARGUMENTS` — optional shorthand or explicit flags for the eval script. Omit entirely to be prompted interactively. ## Workflow ### Phase 1: Parse & Collect Extract parameters from `$ARGUMENTS`. Prompt for missing required values. | Parameter | Notes | |----------------|----------------------------------------------| | Suite/dataset | Which benchmark suite or dataset to evaluate | | Configuration | Model config, direction, or task variant | | Models | Which models to evaluate | | Samples | Number of samples per task | | Resume | Whether to resume from previous partial run | ### Phase 2: Pre-flight 1. Verify project environment is active (venv, dependencies) 2. Verify API keys are set for selected models 3. Verify dataset/benchmark files exist 4. Check for known-failing cases to exclude 5. Display pre-flight summary and **wait for user confirmation** ``` === EVAL BATCH PRE-FLIGHT === Dataset: <name> Models: <model1>, <model2>, ... Config: <config details> Exclusions: <N> known-failing cases excluded Total tasks: <N models> x <N tasks> = <total> API keys: all verified / <which missing> Proceed? (y