sqlmesh

sqlmesh is a Data warehousing & modelling skill for AI agents, published by droher in the baseball.computer repository on GitHub. Skillspace rates sqlmesh D (67/100) and it passed the safety scan; the rating is based on static analysis only.

Use when working with SQLMesh — writing or editing MODEL blocks, Python @model decorators, Python @macros, audits, unit tests, external_models.yaml, or seeds; running `sqlmesh plan/apply/audit/render/evaluate/test`; debugging plans, snapshots, virtual environments, or state issues; configuring `config.py`, gateways, or `before_all`/`after_all` hooks; choosing a model kind (FULL, INCREMENTAL_BY_TIME_RANGE, INCREMENTAL_BY_UNIQUE_KEY, VIEW, SEED, EMBEDDED, SCD_TYPE_2, EXTERNAL, MANAGED); migrating a project from dbt; or asking whether SQLMesh is still maintained. Trigger on these terms even when the user does not name the tool. SQLMesh changes quickly and the model's prior knowledge is often wrong — fetch the canonical docs at https://sqlmesh.readthedocs.io/en/stable/ before answering anything non-trivial.

Grade
D
Quality
67 / 100
Safety
Passed
GitHub stars
20

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 GitHubdroher/baseball.computer

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
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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