smt-e2e-dataflow-debugging

smt-e2e-dataflow-debugging is a Data pipelines & ETL skill for AI agents, published by GoogleCloudPlatform in the DataflowTemplates repository on GitHub. Skillspace rates smt-e2e-dataflow-debugging D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Debugs logical errors and data discrepancies in Dataflow templates by launching jobs via Terraform and comparing source (e.g. Cloud SQL) vs destination (e.g. Spanner) data. Use ONLY when the pipeline launches and runs to completion (terminal state) but exhibits data discrepancies or logical issues. Do NOT use for debugging template startup/runtime crashes or staging/building new templates.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
1,308

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubGoogleCloudPlatform/DataflowTemplates

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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