From Claude DB
Audits multi-tenant data isolation: tenant model fit, missing scoping, unenforced isolation, and cross-tenant leak risks in queries or constraints. Feeds Design & Integrity and Performance & Scale scores.
How this skill is triggered — by the user, by Claude, or both
Slash command
/claude-db:db-multitenancyThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
In a multi-tenant system the tenant boundary is the most important constraint in the schema: a single query that forgets it leaks one customer's data to another. It is also a performance axis — `tenant_id` must lead the keys and indexes so every access is tenant-pruned. This module is **both**-axis: isolation on design (Seguridad), index/partition locality on performance (Escala). Skip entirely...
In a multi-tenant system the tenant boundary is the most important constraint in the schema: a single query that forgets it leaks one customer's data to another. It is also a performance axis — tenant_id must lead the keys and indexes so every access is tenant-pruned. This module is both-axis: isolation on design (Seguridad), index/partition locality on performance (Escala). Skip entirely (not_applicable) when the system is single-tenant.
tenant_id column) vs schema-per-tenant vs database-per-tenant — flag a model mismatched to the isolation requirement (e.g. shared rows for a strict-isolation/regulated workload with no RLS).tenant_id/org_id/account_id column, or a tenant column that is nullable (allowing un-scoped rows).WHERE tenant_id = ? leaks data. Ties to M10 (RLS off = sev5 on a relied-on tenant table).tenant_id, so the engine cannot prune to one tenant — full-table scans crossing tenants (perf) and worse isolation. Ties to M11 ESR ordering and M16 partitioning.fail, axis both, confidence established (caps; the cap itself is owned/asserted with M10's RLS rule — coordinate, do not double-count).tenant_id: severity 4, warn/fail, axis both.tenant_id: severity 3, warn, axis performance.warn, axis both.Parse DDL/snapshot via scripts/parse-schema.mjs: identify tenant-owned tables (heuristic: business tables in a system flagged multi-tenant), check each for a non-null tenant column, verify PKs/UNIQUEs/indexes lead with it, and detect declared RLS policies. Program-source parses stay directional and never raise the sev-5 cap.
Check RLS state and tenant-leading indexes:
-- $DATABASE_URL, read-only
SELECT relname, relrowsecurity, relforcerowsecurity
FROM pg_class WHERE relkind = 'r' AND relnamespace = 'public'::regnamespace;
-- is tenant_id the leading index column?
SELECT i.indexrelid::regclass AS index, a.attname AS first_col
FROM pg_index i
JOIN pg_attribute a ON a.attrelid = i.indrelid AND a.attnum = i.indkey[0]
WHERE i.indrelid = '<table>'::regclass;
No live DB → RLS/enforcement findings stay needs_api, never a silent pass.
Emit per schema/finding.schema.json. Examples:
M9.documents.rls_off_shared_tenant — shared-tenant table relied on for isolation with RLS disabled (severity 5, fail, axis both, confidence established).M9.invoices.no_tenant_id — tenant-owned table has no tenant_id column (severity 4, warn, axis both).M9.events.index_not_tenant_leading — index leads with created_at, not tenant_id; no per-tenant pruning (severity 3, warn, axis performance).
Each finding: evidence.observed quotes the DDL/index/policy verbatim; verification.reproduce is a runnable query above (method: ddl_parse / schema_introspect / index_check); expected_impact banded + confidence-tagged.needs_api or directional, never a silent cap.WHERE tenant_id = ? is real mitigation but is not a database guarantee — one forgotten clause leaks. Say so; do not treat it as equivalent to RLS.not_applicable (severity 0, excluded from scoring) — never invent a tenancy requirement.Provides UI/UX resources: 50+ styles, color palettes, font pairings, guidelines, charts for web/mobile across React, Next.js, Vue, Svelte, Tailwind, React Native, Flutter. Aids planning, building, reviewing interfaces.
Searches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
npx claudepluginhub hainrixz/claude-db --plugin claude-db