code-review

DE//AGENT currently lists 2 resources under code-review: 1 tutorial, 1 skill. 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:

• Identify the five classes of silent failure in a Spark transform — via Spark Data Quality Review
• Add pre/post row-count and null assertions to a job — via Spark Data Quality Review
• Recognise join fan-out caused by non-unique keys — via Spark Data Quality Review
• Report findings as severity, file:line, rule, patch — via Review a PySpark transform for silent quality failures

These resources map to stage: Data Processing (2). 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. Spark Data Quality Review score 41 — intermediate
2. Review a PySpark transform for silent quality failures score 34.15 — intermediate

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

Security-flagged entries: Spark Data Quality Review (1 flag). Flags mean the record declares capabilities like credential use or write access — read the security posture on each page before connecting.

• Spark Data Quality Review — A review skill an agent runs against a Spark/PySpark transform. It checks null propagation, join fan-out, silent type coercion, non-deterministic row counts and missing post-write … details
• Review a PySpark transform for silent quality failures — Run the five-check pass over a PySpark transform before it merges: null propagation, join fan-out, silent coercion, non-determinism, and missing post-write assertions. Each finding… details

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

npx de-agent-platform add spark-data-quality-review

Spark Data Quality Review — review first

Adjacent topics: data-quality (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.