This release adds 2 notable features for engineering teams evaluating rollout.
Published 1mo
AI Agents & Assistants
✓ No known CVEs patched
✓ No known CVEs patched in this version
Topics
ai-agents
analytics-engineering
claude-code
claude-code-skill
data-quality
dbt
Summary
AI summaryDeterministic checks replace LLM judgment, add undefined column refs and fan‑out join detection.
Full changelog
Three checks that previously relied on LLM judgment during the deep pass are now computed deterministically by the inventory script.
- New
catalogs.undefined_column_refs: per model, every SELECT scope (outer query and each CTE) is resolved against its input relations (CTEs recursively to depth 10, ref'd models through their extracted column lists); any column referenced in SELECT or GROUP BY that no input produces is flagged withconfidence: 'high'. Always a Blocker candidate, ranked with broken refs. Conservative by construction: scopes are skipped when any input is unresolvable (macro-generated columns without a compiled manifest, regex-fallback extractions such as incremental-model tails, sources, subqueries). Local CTEs now correctly shadow same-named models during resolution. - New
catalogs.fan_out_joins: models joined by 2+ downstream models on a key with nouniquetest. Join targets are resolved directly or through grain-preserving passthrough CTEs; each row carries the join column, downstream models, a sample ON condition, and a runnable verification query. Hygiene candidate in synthesis. - Fixed
test_summary.models_with_zero_testsundercount: models with no YAML entry at all were not counted (messy-jaffle-shop reported 3, truth is 6). The summary now also enumerates the models inmodels_with_zero_tests_list. - SKILL.md Step 5b and report-template.md wired for both new catalogs (Blocker collection, Hygiene verification queries, appendix tables).
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