### Issue 1
docs/audits/pirros/data/discovery-diff/RESULTS.md:35
This says the analysis is fully reproducible by running `aggregate.py`, but the referenced `manifest.json`, score files, statistics environment, and runnable script are not committed. The other added documents explicitly say these scratch artifacts were deleted, so readers cannot run the advertised command or independently regenerate the results. Please restore the required files or narrow the claim and document the complete reconstruction process.
Note: If this suggestion doesn't match your team's coding style, reply to this and let me know. I'll remember it for next time!
### Issue 2
docs/audits/pirros/data/discovery-diff/masterlist_judge.workflow.js:51-52
The schema accepts an empty, partial, duplicated, or incorrectly named `dimensions` array because it does not constrain the number or names of its entries. Although the prompt requests every dimension, an incomplete verdict still passes validation and is returned without a completeness check. Downstream analysis can therefore silently omit rubric dimensions. Please enforce the selected rubric's names and require exactly 12 discovery or 13 demo entries.
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For each issue above, determine whether it is valid and should be fixed. If so, fix it directly.
Summary
This PR adds Aspire automation-demand and opportunity-touch datasets, a Pirros CRM metadata snapshot, and recovered Pirros discovery-diff methodology and judge artifacts.
The generated CSV and JSON artifacts are structurally valid.
The discovery-diff documentation preserves rubrics, qualitative analysis, and reported results, but overstates the currently committed reproducibility materials.
The recovered judge workflow needs stronger validation to guarantee all rubric dimensions are returned.
Reproducibility Claim Is Unsupported