starter

DE//AGENT currently lists 3 resources under starter: 2 tutorials, 1 plugin. Everything below is derived from the live registry — counts, capabilities, verification state and security posture come from the curated records, never from marketing copy.

Documented learning objectives across these resources:

• Layer staging, intermediate, and marts models — via Run the dbt warehouse tests starter end to end
• Run the seed/build/docs loop the starter ships with — via Run the dbt warehouse tests starter end to end
• Enforce unique + not_null on the fact grain key — via Run the dbt warehouse tests starter end to end
• Express a quality contract as executable checks — via Split a batch into quarantine and publish
• Design a quarantine table with a reason — via Split a batch into quarantine and publish
• Alert on the quarantine rate, not just on failure — via Split a batch into quarantine and publish

These resources map to stages: Warehousing (1), Data Quality (1), Agentic Data Engineering (1). Follow the four-phase roadmap to place this topic inside a progression instead of learning it in isolation.

Every entry, its shape and its trust state — sorted by the registry's composite score. This table is the honest version of a marketing comparison: no sponsored placements, no unverifiable claims.

How scores are computed: source quality score.

Highest composite score first:

1. Run the dbt warehouse tests starter end to end score 34.15 — beginner
2. Split a batch into quarantine and publish score 34.15 — intermediate
3. DE Data Toolkit score 34.1 — beginner

Scores rank provenance, completeness and trust — read how verification works before adopting anything.

Start here if you're new: Run the dbt warehouse tests starter end to end, DE Data Toolkit.

Security-flagged entries: DE Data Toolkit (2 flags). Flags mean the record declares capabilities like credential use or write access — read the security posture on each page before connecting.

• Run the dbt warehouse tests starter end to end — Clone the dbt-warehouse-tests starter, seed its deterministic customers and orders data, and build the staging → intermediate → marts pipeline with dbt build --target dev. You serv… details
• Split a batch into quarantine and publish — Build the pipeline-dq-quarantine starter the way the Quarantine then Publish pattern prescribes: a quality contract splits each batch into a published set and a quarantine with rea… details
• DE Data Toolkit — The opinionated starter plugin: SQL/Spark review skills, the destructive-SQL guard, a secret scanner and the file/git MCP servers, wired for data engineers. details

Real install commands from the registry — read the source before running any of them:

amp plugin add de-agent/de-data-toolkit

DE Data Toolkit — review first

Adjacent topics: tutorial (2 shared).

Study path: the roadmap places this topic in a progression · the scoring model explains the numbers · the trust rule catalog shows every security check these entries passed through.