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Dbt Agent Readiness

v1.1.0 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-agents analytics-engineering claude-code claude-code-skill data-quality dbt

Summary

AI summary

Deterministic 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 with confidence: '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 no unique test. 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_tests undercount: 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 in models_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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Beta — feedback welcome: [email protected]