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Use when running dbt commands, introducing a breaking change to a contracted model, or reviewing a dbt project: build against run, selectors and the selector-typo guard, defer, model versions and the latest version pointer (1.12 beta, post-hook on 1.11 and earlier), contracts, access and groups, unit test mechanics and project-evaluator DAG checks.
dbt-cli-and-model-versioning-pitfalls is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # dbt-cli-and-model-versioning-pitfalls Step 6 of the pipeline (`WORKFLOW.md`), for the dbt traps that a generic data-quality rule does not name. The premise: *. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding dbt-cli-and-model-versioning-pitfalls to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install techmefr/mentisReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# dbt-cli-and-model-versioning-pitfalls Step 6 of the pipeline (`WORKFLOW.md`), for the dbt traps that a generic data-quality rule does not name. The premise: **a dbt command that