database-schema

database-schema is a Databases & SQL skill for AI agents, published by mikialex in the rendiation repository on GitHub. Skillspace rates database-schema F (54/100) and it passed the safety scan; the rating is based on static analysis only.

Reference for the rendiation type-safe relational database layer (utility/database). Covers defining tables (entity types) and columns (components) with declare_entity!/ declare_component!, explicit foreign keys between tables, registering schemas with the global database, CRUD via TableWriter/TableReader/ComponentReadView, query patterns, storage backends (linear vs sparse), and the event/hook system. Use when defining new entity types, adding components, wiring foreign keys, or interacting with the database layer directly.

Grade
F
Quality
54 / 100
Safety
Passed
GitHub stars
74

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.

Our review

Architecture
74 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.