duckrun-projects

duckrun-projects is a Data warehousing & modelling skill for AI agents, published by djouallah in the duckrun repository on GitHub. Skillspace rates duckrun-projects F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

How to build, configure, and run dbt projects on the duckrun adapter — dbt models executed in DuckDB and materialized as Delta Lake tables via delta-rs, locally or on S3/GCS/ADLS/OneLake (Microsoft Fabric) — plus the SQL-first duckrun.connect() notebook API over the same tables. Use this skill whenever a data engineer is setting up a duckrun profile, writing models or sources for it, choosing an incremental strategy (merge, insert, append, delete+insert, microbatch), pointing dbt at OneLake/a Fabric Lakehouse, using duckrun.connect() in a notebook, debugging a duckrun run, or asking "dbt + DuckDB + Delta" questions in general. Consult it BEFORE writing profiles.yml or any incremental model config — several defaults differ from other dbt adapters.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
46

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.

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • references sensitive credential env
  • 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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