| name | assay |
| description | Assay an experiment — deep analysis of results with cross-run comparison |
Assay
Test the purity of what the experimentalist agent produced. Deep analysis of an experiment's results.
Arguments
The user provides an experiment name or project ID.
Steps
- Get latest data: Call
mcp__distillate__scan_project to ensure we have the most recent runs
- Full history: Call
mcp__distillate__get_project_details for complete run history with metrics
- Identify the frontier: Find the best run for each metric, trace how the frontier evolved
- Cross-run comparison: Use
mcp__distillate__compare_runs to understand what changed between breakthrough runs
- Session archaeology: If session histories exist, read them (Glob
~/.claude/projects/*<name>*/*.jsonl) to understand why the agent made its choices
- Literature context: Call
mcp__distillate__suggest_from_literature to compare with published results
- Synthesize:
- Trajectory: how the metric evolved across runs (phases, plateaus, breakthroughs)
- What worked: techniques/configs that improved results
- What didn't: approaches that regressed or were abandoned
- Concrete next steps with specific parameter suggestions
- Lab notebook: Offer to call
mcp__distillate__get_experiment_notebook for the full record