database

database is a cursor rule for Cursor from gracefullight/docusaurus-plugins. It costs 0 tokens per session (368 once invoked), scanned A, original, MIT.

Database schema design, normalization, indexing, and integrity standards for SQL, NoSQL, and vector databases.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/gracefullight/docusaurus-plugins/database
Clone the repo
git clone --depth 1 https://github.com/gracefullight/docusaurus-plugins

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for database

README.md
[![agentmods](https://agentmods.dev/badge/rules/gracefullight/docusaurus-plugins/database.svg)](https://agentmods.dev/rules/gracefullight/docusaurus-plugins/database)
Your own site
<a href="https://agentmods.dev/rules/gracefullight/docusaurus-plugins/database"><img src="https://agentmods.dev/badge/rules/gracefullight/docusaurus-plugins/database.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 368 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00368
Opus 5 $0.00000 $0.00184
Sonnet 5 $0.00000 $0.00074
Haiku 4.5 $0.00000 $0.00037

Measured today against content hash 458386e74ecc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

database scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/database.mdc · 26 lines

What it actually says

Database Standards

Core Rules

  1. Choose model first, engine second: workload, access pattern, consistency, and scale drive DB selection.
  2. For relational workloads, enforce at least 3NF by default. Break 3NF only with explicit performance justification.
  3. For distributed/non-relational workloads, model around aggregates and access paths; document BASE and consistency tradeoffs.
  4. Document ACID expectations for relational transactions. For distributed tradeoffs, document consistency compromises explicitly.
  5. Always document the three schema layers: external schema, conceptual schema, internal schema.
  6. Treat integrity as first-class: entity, domain, referential, and business-rule integrity must be explicit.
  7. Concurrency is never implicit: define transaction boundaries, locking strategy, and isolation level per critical flow.
  8. Data standards are mandatory: naming, definition, format, allowed values, and validation rules.
  9. Maintain living artifacts: glossary, schema decision log, and capacity estimation — update whenever the model changes.
  10. Proactively flag anti-patterns and insecure shortcuts instead of silently implementing them.
  11. Vector DBs are retrieval infrastructure, not source-of-truth databases. Store embeddings and metadata there; keep canonical documents elsewhere.
  12. Never treat vector search as a drop-in for lexical search. Default to hybrid retrieval when exact match or explainability matters.
  13. Embeddings are schema-like assets: version model, dimension, chunking, and preprocessing. Plan re-embedding migrations explicitly.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today First seen · 26 lines · 0 tokens per session scan A 458386e74ecc

Subscribe to this mod's changes

database is a cursor rule published in the GitHub repository gracefullight/docusaurus-plugins (22 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 368 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.