bigquery-destination
bigquery-destination is a Data pipelines & ETL skill for AI agents, published by bruin-data in the ingestr repository on GitHub. Skillspace rates bigquery-destination D (68/100) and it passed the safety scan; the rating is based on static analysis only.
How the ingestr BigQuery destination works — the staging→swap write path, load methods (load_job/storage_write), where dedup happens, copy-job vs CTAS swap selection, partition/cluster change handling (rename-aside), and merge partition pruning. Use when changing anything in pkg/destination/bigquery/ or BigQuery-affecting behavior in the replace/merge strategies (pkg/strategy/replace.go, pkg/strategy/merge.go). If your change alters behavior described here, update this file in the same change.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 3,958
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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