aios-core/.aios-core/product/templates/rls-policies-tmpl.yaml

Synkra AIOS: AI-Orchestrated System for Full Stack Development - Core Framework

---
template_name: "Supabase RLS Policies"
template_version: "1.0.0"
output_format: "markdown"
destination: "rls-policies.md"
description: "Row Level Security policies for Supabase tables"
---

sections:
  - id: overview
    title: "RLS Overview"
    instruction: |
      Document the Row Level Security strategy:
      
      ## Purpose
      Explain the overall security model and why RLS is being used.
      
      ## Authentication Context
      - How users are authenticated (Supabase Auth, JWT, etc)
      - Available auth context variables:
        - `auth.uid()` - Current user ID
        - `auth.jwt()` - JWT claims
        - `auth.email()` - User email
        - Custom claims in JWT
      
      ## Security Model
      - Role-based access control (RBAC)
      - Multi-tenancy approach (if applicable)
      - Public vs authenticated vs specific role access
      
      ## Performance Considerations
      - RLS policy performance impact
      - Indexing strategy to support policies
      - Caching considerations
      
      ## Testing Strategy
      - How policies will be tested
      - Test users and scenarios
    elicit: true
    
  - id: policy-patterns
    title: "Common Policy Patterns"
    instruction: |
      Document reusable policy patterns used across tables:
      
      ## Pattern 1: Owner-Only Access
      ```sql
      -- Users can only access their own records
      (auth.uid() = user_id)
      ```
      
      ## Pattern 2: Tenant-Based Access
      ```sql
      -- Users can access records in their organization
      (auth.uid() IN (
        SELECT user_id FROM org_members 
        WHERE org_id = table.org_id
      ))
      ```
      
      ## Pattern 3: Role-Based Access
      ```sql
      -- Only admins can access
      ((auth.jwt() ->> 'role')::text = 'admin')
      ```
      
      ## Pattern 4: Public Read, Authenticated Write
      ```sql
      -- SELECT: true (public read)
      -- INSERT/UPDATE/DELETE: auth.uid() IS NOT NULL
      ```
      
      ## Pattern 5: Hierarchical Permissions
      ```sql
      -- Access based on organizational hierarchy
      ```
      
      Document any other patterns specific to your application.
    elicit: true
    
  - id: table-policies
    title: "Table-by-Table Policies"
    instruction: |
      For each table requiring RLS, document comprehensive policies:
      
      # Table: `table_name`
      
      ## Enable RLS
      ```sql
      ALTER TABLE table_name ENABLE ROW LEVEL SECURITY;
      ```
      
      ## SELECT Policies
      
      ### Policy: `policy_name_select`
      **Purpose**: Describe who can read what
      
      **Policy Expression**:
      ```sql
      CREATE POLICY "policy_name_select"
      ON table_name
      FOR SELECT
      TO authenticated -- or public, anon, etc
      USING (
        -- Policy expression
        auth.uid() = user_id
      );
      ```
      
      **Rationale**: Explain the business rule
      
      **Performance**: Any indexes needed to support this policy
      
      ## INSERT Policies
      
      ### Policy: `policy_name_insert`
      **Purpose**: Describe who can create records
      
      **Policy Expression**:
      ```sql
      CREATE POLICY "policy_name_insert"
      ON table_name
      FOR INSERT
      TO authenticated
      WITH CHECK (
        -- Policy expression
        auth.uid() = user_id
      );
      ```
      
      **Validation**: What validations this ensures
      
      ## UPDATE Policies
      
      ### Policy: `policy_name_update`
      **Purpose**: Describe who can modify records
      
      **Policy Expression**:
      ```sql
      CREATE POLICY "policy_name_update"
      ON table_name
      FOR UPDATE
      TO authenticated
      USING (
        -- Who can see the record to update it
        auth.uid() = user_id
      )
      WITH CHECK (
        -- What values they can set
        auth.uid() = user_id
      );
      ```
      
      **Notes**: USING checks old values, WITH CHECK validates new values
      
      ## DELETE Policies
      
      ### Policy: `policy_name_delete`
      **Purpose**: Describe who can delete records
      
      **Policy Expression**:
      ```sql
      CREATE POLICY "policy_name_delete"
      ON table_name
      FOR DELETE
      TO authenticated
      USING (
        -- Who can delete
        auth.uid() = user_id OR
        (auth.jwt() ->> 'role')::text = 'admin'
      );
      ```
      
      ## ALL Policies (if using combined policy)
      
      Sometimes a single policy for all operations is clearer:
      
      ```sql
      CREATE POLICY "policy_name_all"
      ON table_name
      FOR ALL
      TO authenticated
      USING (auth.uid() = user_id)
      WITH CHECK (auth.uid() = user_id);
      ```
      
      ---
      
      Repeat this section for each table.
    elicit: true
    
  - id: public-tables
    title: "Public Tables"
    instruction: |
      Document tables with public read access:
      
      # Table: `public_table_name`
      
      ## Public Read Policy
      ```sql
      ALTER TABLE public_table_name ENABLE ROW LEVEL SECURITY;
      
      CREATE POLICY "public_read_policy"
      ON public_table_name
      FOR SELECT
      TO anon, authenticated
      USING (true);
      ```
      
      ## Restricted Write Policy
      ```sql
      CREATE POLICY "authenticated_write_policy"
      ON public_table_name
      FOR INSERT
      TO authenticated
      WITH CHECK (auth.uid() IS NOT NULL);
      ```
      
      **Rationale**: Why this table is public
      
      **Security Considerations**: What data is safe to expose
    elicit: false
    
  - id: service-role
    title: "Service Role Bypass"
    instruction: |
      Document scenarios where service role (bypass RLS) is used:
      
      ## Service Role Usage
      
      ### Backend Operations
      Operations that need to bypass RLS:
      - Scheduled jobs (cron, edge functions with service key)
      - Admin operations
      - Data migration
      - Analytics aggregation
      
      ### Safety Measures
      - How service key is secured
      - Where service role operations are logged
      - Who has access to service key
      
      ### Alternatives
      When possible, prefer:
      - Security definer functions with RLS
      - Elevated permission policies
      - Temporary privilege escalation
    elicit: false
    
  - id: helper-functions
    title: "Security Helper Functions"
    instruction: |
      Document PostgreSQL functions that support RLS:
      
      ## Function: `check_user_permission`
      ```sql
      CREATE OR REPLACE FUNCTION check_user_permission(
        user_id uuid,
        resource_id uuid,
        permission_type text
      )
      RETURNS boolean
      LANGUAGE plpgsql
      SECURITY DEFINER
      AS $$
      BEGIN
        -- Permission checking logic
        RETURN EXISTS (
          SELECT 1 FROM permissions
          WHERE user_id = $1
          AND resource_id = $2
          AND permission = $3
        );
      END;
      $$;
      ```
      
      **Usage in Policies**:
      ```sql
      USING (check_user_permission(auth.uid(), id, 'read'))
      ```
      
      ## Function: `get_user_org_id`
      ```sql
      CREATE OR REPLACE FUNCTION get_user_org_id()
      RETURNS uuid
      LANGUAGE sql
      STABLE
      AS $$
        SELECT org_id FROM user_profiles
        WHERE user_id = auth.uid();
      $$;
      ```
      
      **Usage in Policies**:
      ```sql
      USING (org_id = get_user_org_id())
      ```
      
      Document all helper functions used in RLS policies.
    elicit: false
    
  - id: multi-tenancy
    title: "Multi-Tenancy Implementation"
    condition: "multi_tenant"
    instruction: |
      If implementing multi-tenancy with RLS:
      
      ## Tenant Isolation Strategy
      
      ### Tenant Identification
      - How tenants are identified (org_id, team_id, etc)
      - Where tenant ID is stored (JWT claim, database lookup)
      
      ### Tenant-Scoped Tables
      
      For each tenant-scoped table:
      
      ```sql
      -- Example: projects table
      CREATE POLICY "tenant_isolation_policy"
      ON projects
      FOR ALL
      TO authenticated
      USING (
        org_id = (auth.jwt() ->> 'org_id')::uuid
      )
      WITH CHECK (
        org_id = (auth.jwt() ->> 'org_id')::uuid
      );
      ```
      
      ### Cross-Tenant Scenarios
      - Shared resources across tenants
      - Super admin access
      - Tenant-to-tenant relationships
      
      ### Performance
      - Indexes on tenant_id columns
      - Query patterns that leverage tenant isolation
    elicit: true

  - id: storage-policies
    title: "Supabase Storage Policies"
    instruction: |
      RLS policies for Supabase Storage buckets (storage.objects table).

      ## Overview

      Supabase Storage uses RLS on the `storage.objects` system table to control file access.
      By default, Storage requires explicit RLS policies - no uploads allowed without policies.

      ## Pattern 1: User-Specific Uploads

      Users can only upload files to their own folder:

      ```sql
      CREATE POLICY "Users upload own avatars"
      ON storage.objects
      FOR INSERT
      TO authenticated
      WITH CHECK (
        bucket_id = 'avatars' AND
        (select auth.uid())::text = (storage.foldername(name))[1]
      );
      ```

      **Folder Structure**: `avatars/{user_id}/filename.jpg`

      **How it works**:
      - `storage.foldername(name)` splits path by `/` returning array
      - `[1]` gets first folder (user_id)
      - Compares with authenticated user's ID

      ## Pattern 2: Public Read, Authenticated Write

      Anyone can view files, only authenticated users can upload:

      ```sql
      -- Public read
      CREATE POLICY "Public avatars readable"
      ON storage.objects
      FOR SELECT
      TO public
      USING (bucket_id = 'avatars');

      -- Authenticated write
      CREATE POLICY "Authenticated upload avatars"
      ON storage.objects
      FOR INSERT
      TO authenticated
      WITH CHECK (bucket_id = 'avatars');
      ```

      **Use case**: Public profile pictures, logos, marketing assets.

      ## Pattern 3: Tenant-Scoped Files

      Users can only access files from their organization:

      ```sql
      CREATE POLICY "Tenant file isolation"
      ON storage.objects
      FOR SELECT
      TO authenticated
      USING (
        bucket_id = 'documents' AND
        (storage.foldername(name))[1] = ((select auth.jwt()) ->> 'org_id')
      );

      CREATE POLICY "Tenant file uploads"
      ON storage.objects
      FOR INSERT
      TO authenticated
      WITH CHECK (
        bucket_id = 'documents' AND
        (storage.foldername(name))[1] = ((select auth.jwt()) ->> 'org_id')
      );
      ```

      **Folder Structure**: `documents/{org_id}/{file_id}.pdf`

      ## Pattern 4: Delete Own Files

      Users can delete their own files:

      ```sql
      CREATE POLICY "Users delete own files"
      ON storage.objects
      FOR DELETE
      TO authenticated
      USING (
        bucket_id = 'avatars' AND
        (select auth.uid())::text = (storage.foldername(name))[1]
      );
      ```

      ## Pattern 5: File Overwriting (upsert)

      For file overwriting via `upsert` option, grant SELECT + UPDATE:

      ```sql
      -- Allow reading (required for upsert check)
      CREATE POLICY "Users read own files"
      ON storage.objects
      FOR SELECT
      TO authenticated
      USING (
        bucket_id = 'avatars' AND
        (select auth.uid())::text = (storage.foldername(name))[1]
      );

      -- Allow updating (for upsert)
      CREATE POLICY "Users update own files"
      ON storage.objects
      FOR UPDATE
      TO authenticated
      USING (
        bucket_id = 'avatars' AND
        (select auth.uid())::text = (storage.foldername(name))[1]
      )
      WITH CHECK (
        bucket_id = 'avatars' AND
        (select auth.uid())::text = (storage.foldername(name))[1]
      );
      ```

      ## Bucket Configuration

      Create buckets with appropriate public/private settings:

      ```sql
      -- Create private bucket (requires policies)
      INSERT INTO storage.buckets (id, name, public)
      VALUES ('avatars', 'avatars', false);

      -- Create public bucket (files publicly accessible by URL)
      INSERT INTO storage.buckets (id, name, public)
      VALUES ('public-images', 'public-images', true);
      ```

      **Note**: Even public buckets respect RLS for uploads/deletes.

      ## Helper Functions

      ```sql
      -- Extract user folder from path
      CREATE OR REPLACE FUNCTION storage.user_owns_file(file_path text)
      RETURNS boolean
      LANGUAGE sql
      STABLE
      AS $$
        SELECT (select auth.uid())::text = (storage.foldername(file_path))[1];
      $$;

      -- Usage in policy
      CREATE POLICY "Users access own files"
      ON storage.objects
      FOR ALL
      TO authenticated
      USING (
        bucket_id = 'private' AND
        storage.user_owns_file(name)
      );
      ```

      ## Security Considerations

      1. **Always validate bucket_id** in policies (prevent cross-bucket access)
      2. **Use folder structure** for user/tenant isolation
      3. **Set appropriate bucket public/private** settings
      4. **Monitor storage size** per user/tenant (implement quotas)
      5. **Validate file types** server-side (policies can't check content)

      ## Testing

      Test storage policies with Supabase client:

      ```typescript
      // Test upload as user A
      const { data, error } = await supabase.storage
        .from('avatars')
        .upload(`${user.id}/avatar.jpg`, file);

      // Should succeed for own folder
      expect(error).toBeNull();

      // Test read as user B (should fail for user A's folder)
      const { data: files, error: listError } = await supabase.storage
        .from('avatars')
        .list(`${otherUserId}/`);

      // Should return empty or error
      expect(files).toHaveLength(0);
      ```

      ## Performance

      Storage policies are evaluated on every file operation.

      **Optimize**:
      - Use simple folder path checks (fast)
      - Avoid complex JOINs in storage policies
      - Cache JWT claims in helper functions
      - Use indexes on bucket_id (already indexed by Supabase)

      ## Common Pitfalls

      - **Forgetting SELECT policy** for upsert operations
      - **Not validating bucket_id** (allows cross-bucket access)
      - **Complex policies** (slow file operations)
      - **Mixing public/private** bucket settings incorrectly
    elicit: false

  - id: performance-optimization
    title: "RLS Performance Optimization"
    instruction: |
      Critical performance optimizations for RLS policies validated by Supabase documentation.

      ## 🚀 Optimization 1: Wrap Auth Functions with SELECT (94.97% faster)

      **Critical Discovery** from Supabase docs: Wrapping auth functions enables query caching.

      ### ❌ SLOW (no caching):
      ```sql
      CREATE POLICY "users_select"
      ON users
      FOR SELECT
      TO authenticated
      USING (auth.uid() = user_id);
      ```

      ### ✅ FAST (cached, 94.97% improvement):
      ```sql
      CREATE POLICY "users_select"
      ON users
      FOR SELECT
      TO authenticated
      USING ((select auth.uid()) = user_id);
      ```

      **Why**: PostgreSQL caches the result of `(select auth.uid())` for the duration of the transaction,
      avoiding repeated function calls.

      **Impact**: **19x faster queries** in high-traffic scenarios.

      **Apply to all auth functions**:
      - `(select auth.uid())`
      - `(select auth.jwt())`
      - `(select auth.email())`

      ## 🚀 Optimization 2: Index Policy Columns (99.94% improvement)

      **Always index columns used in policy expressions.**

      ```sql
      -- Policy uses user_id
      CREATE POLICY "user_policy" ON posts
      USING ((select auth.uid()) = user_id);

      -- Index user_id (99.94% faster)
      CREATE INDEX idx_posts_user_id ON posts(user_id);
      ```

      **Critical indexes**:
      ```sql
      -- Tenant isolation
      CREATE INDEX idx_table_org_id ON table_name(org_id);

      -- Owner-based policies
      CREATE INDEX idx_table_user_id ON table_name(user_id);

      -- Time-based policies
      CREATE INDEX idx_table_scheduling
        ON table_name(publish_at, expire_at)
        WHERE publish_at IS NOT NULL OR expire_at IS NOT NULL;
      ```

      ## 🚀 Optimization 3: Filter Client-Side Explicitly

      **Even with RLS policies, explicitly filter in client queries.**

      ```typescript
      // ❌ Relies only on RLS
      const { data } = await supabase
        .from('users')
        .select('*');  // Returns only own data due to RLS, but query planner doesn't know

      // ✅ Explicit filter (helps query planner)
      const { data } = await supabase
        .from('users')
        .select('*')
        .eq('user_id', userId);  // Query planner can use index
      ```

      **Why**: Explicit filters help PostgreSQL query planner choose optimal index scan.

      ## 🚀 Optimization 4: Specify Roles Explicitly

      ```sql
      -- ❌ Applies to all roles (unnecessary checks)
      CREATE POLICY "policy" ON table USING (...);

      -- ✅ Specific role (fewer checks)
      CREATE POLICY "policy" ON table
      TO authenticated  -- Only authenticated users
      USING (...);
      ```

      **Common roles**:
      - `TO authenticated` - Logged-in users
      - `TO anon` - Anonymous users
      - `TO public` - Both authenticated and anon

      ## 🚀 Optimization 5: Use Security Definer Functions

      **Bypass RLS on join tables** with security definer functions.

      ```sql
      -- ❌ Policy with JOIN (slow, 99.99% slower)
      CREATE POLICY "team_access" ON documents
      USING (
        team_id IN (
          SELECT team_id FROM user_teams
          WHERE user_id = (select auth.uid())
        )
      );

      -- ✅ Security definer function (99.99% improvement)
      CREATE OR REPLACE FUNCTION user_team_ids()
      RETURNS TABLE(team_id UUID)
      LANGUAGE sql
      STABLE
      SECURITY DEFINER
      AS $$
        SELECT team_id FROM user_teams
        WHERE user_id = auth.uid();
      $$;

      CREATE POLICY "team_access" ON documents
      USING (team_id IN (SELECT user_team_ids()));
      ```

      **Why**: Security definer functions run with elevated privileges, bypassing RLS on join tables.

      ## 🚀 Optimization 6: Minimize Joins

      **Avoid joining source and target tables in policies.**

      ```sql
      -- ❌ JOIN in policy (slow)
      CREATE POLICY "org_access" ON documents
      USING (
        EXISTS (
          SELECT 1 FROM users
          WHERE users.id = (select auth.uid())
            AND users.org_id = documents.org_id
        )
      );

      -- ✅ Use JWT claims (no JOIN)
      CREATE POLICY "org_access" ON documents
      USING (
        org_id = ((select auth.jwt()) ->> 'org_id')::uuid
      );
      ```

      **Strategy**: Store necessary claims in JWT (org_id, role, tenant_id).

      ## Performance Checklist

      Apply to every RLS policy:

      - [ ] Wrap `auth.uid()` with `(select auth.uid())`
      - [ ] Index all columns used in USING/WITH CHECK
      - [ ] Specify role explicitly (TO authenticated vs TO public)
      - [ ] Use JWT claims instead of JOINs where possible
      - [ ] Create security definer functions for complex permission checks
      - [ ] Test query plans with EXPLAIN ANALYZE
      - [ ] Filter client-side explicitly

      ## Measuring Performance

      ```sql
      -- Check query plan (look for Sequential Scan vs Index Scan)
      EXPLAIN ANALYZE
      SELECT * FROM users WHERE user_id = 'xxx';

      -- Monitor slow queries
      SELECT
        query,
        calls,
        mean_exec_time,
        max_exec_time
      FROM pg_stat_statements
      WHERE query LIKE '%users%'
      ORDER BY mean_exec_time DESC
      LIMIT 10;
      ```

      ## Real-World Impact

      **Before optimization**:
      - Query time: 250ms
      - Database CPU: 80%
      - Queries/sec: 40

      **After optimization** (wrapped functions + indexes):
      - Query time: 12ms (95% improvement)
      - Database CPU: 15%
      - Queries/sec: 800 (20x increase)
    elicit: false

  - id: advanced-patterns
    title: "Advanced RLS Patterns"
    instruction: |
      Advanced RLS patterns beyond basic owner-only and tenant isolation.

      ## Pattern 6: Time-Based Access (Scheduled Content)

      **Use case**: Blog posts with scheduled publishing, promotions with expiration, time-limited content.

      ```sql
      CREATE POLICY "scheduled_content"
      ON posts
      FOR SELECT
      TO authenticated
      USING (
        (publish_at IS NULL OR publish_at <= NOW()) AND
        (expire_at IS NULL OR expire_at > NOW())
      );
      ```

      **How it works**:
      - `publish_at IS NULL` - No schedule, always visible
      - `publish_at <= NOW()` - Past publish date, visible
      - `expire_at IS NULL` - No expiration, always visible
      - `expire_at > NOW()` - Not expired, visible

      **Performance**:
      ```sql
      -- Index for time-based queries
      CREATE INDEX idx_posts_scheduling
      ON posts(publish_at, expire_at)
      WHERE publish_at IS NOT NULL OR expire_at IS NOT NULL;
      ```

      **Client-side filtering** (helps query planner):
      ```typescript
      const { data } = await supabase
        .from('posts')
        .select('*')
        .lte('publish_at', new Date().toISOString())
        .or('publish_at.is.null')
        .gte('expire_at', new Date().toISOString())
        .or('expire_at.is.null');
      ```

      ## Pattern 7: Hierarchical Organizations (Detailed)

      **Use case**: Org > Team > User hierarchy with different access levels.

      ### Simple Hierarchy (Org-Level):
      ```sql
      CREATE POLICY "org_hierarchy"
      ON resources
      FOR SELECT
      TO authenticated
      USING (
        org_id IN (
          SELECT org_id
          FROM user_org_memberships
          WHERE user_id = (select auth.uid())
        )
      );
      ```

      **User sees resources from ALL orgs they belong to.**

      ### Complex Hierarchy (Org + Team):
      ```sql
      -- Option 1: User sees resources from their teams
      CREATE POLICY "team_hierarchy"
      ON resources
      FOR SELECT
      TO authenticated
      USING (
        team_id IN (
          SELECT team_id
          FROM user_team_memberships
          WHERE user_id = (select auth.uid())
        )
      );

      -- Option 2: Combined (org admin sees all, team member sees team only)
      CREATE POLICY "combined_hierarchy"
      ON resources
      FOR SELECT
      TO authenticated
      USING (
        -- Org admin sees all resources in org
        (
          org_id IN (
            SELECT org_id
            FROM user_org_memberships
            WHERE user_id = (select auth.uid()) AND role = 'admin'
          )
        )
        OR
        -- Team member sees only team resources
        (
          team_id IN (
            SELECT team_id
            FROM user_team_memberships
            WHERE user_id = (select auth.uid())
          )
        )
      );
      ```

      **Performance**:
      ```sql
      -- Indexes for hierarchy lookups
      CREATE INDEX idx_user_org_memberships_user
        ON user_org_memberships(user_id, org_id);

      CREATE INDEX idx_user_team_memberships_user
        ON user_team_memberships(user_id, team_id);

      CREATE INDEX idx_resources_org_id ON resources(org_id);
      CREATE INDEX idx_resources_team_id ON resources(team_id);
      ```

      **Optimization** (security definer function):
      ```sql
      CREATE OR REPLACE FUNCTION user_accessible_orgs()
      RETURNS TABLE(org_id UUID)
      LANGUAGE sql
      STABLE
      SECURITY DEFINER
      AS $$
        SELECT org_id FROM user_org_memberships
        WHERE user_id = auth.uid();
      $$;

      CREATE POLICY "org_hierarchy_optimized"
      ON resources
      FOR SELECT
      TO authenticated
      USING (org_id IN (SELECT user_accessible_orgs()));
      ```

      ## Pattern 8: Role-Based with Custom Claims (Advanced)

      **Use case**: Different permissions per role (admin, manager, analyst, user).

      ### Setup: Add role to JWT
      ```sql
      CREATE OR REPLACE FUNCTION custom_access_token_hook(event jsonb)
      RETURNS jsonb AS $$
      DECLARE
        claims jsonb;
        user_role text;
        user_org_id uuid;
      BEGIN
        -- Get user role and org from profiles table
        SELECT role, org_id INTO user_role, user_org_id
        FROM public.user_profiles
        WHERE user_id = (event->>'user_id')::uuid;

        -- Add to JWT claims
        claims := event->'claims';
        claims := jsonb_set(claims, '{role}', to_jsonb(user_role));
        claims := jsonb_set(claims, '{org_id}', to_jsonb(user_org_id));

        RETURN jsonb_set(event, '{claims}', claims);
      END;
      $$ LANGUAGE plpgsql SECURITY DEFINER;
      ```

      **Configure in Supabase Dashboard**: Authentication > Hooks > Custom Access Token

      ### Policy: Role-Based Access
      ```sql
      -- Admin sees all
      CREATE POLICY "admin_full_access"
      ON sensitive_data
      FOR ALL
      TO authenticated
      USING (
        ((select auth.jwt()) ->> 'role') = 'admin'
      );

      -- Manager sees org data
      CREATE POLICY "manager_org_access"
      ON sensitive_data
      FOR SELECT
      TO authenticated
      USING (
        ((select auth.jwt()) ->> 'role') = 'manager' AND
        org_id = ((select auth.jwt()) ->> 'org_id')::uuid
      );

      -- User sees own data only
      CREATE POLICY "user_own_access"
      ON sensitive_data
      FOR SELECT
      TO authenticated
      USING (
        ((select auth.jwt()) ->> 'role') = 'user' AND
        user_id = (select auth.uid())
      );
      ```

      ### Policy: Role Hierarchy (Admin > Manager > User)
      ```sql
      CREATE POLICY "role_hierarchy"
      ON resources
      FOR ALL
      TO authenticated
      USING (
        CASE ((select auth.jwt()) ->> 'role')
          WHEN 'admin' THEN true  -- Admin sees everything
          WHEN 'manager' THEN org_id = ((select auth.jwt()) ->> 'org_id')::uuid
          ELSE user_id = (select auth.uid())  -- User sees own only
        END
      );
      ```

      ## Pattern 9: Multi-Factor Authentication (AAL2)

      **Use case**: Sensitive operations require MFA.

      ```sql
      CREATE POLICY "mfa_required_for_sensitive_ops"
      ON sensitive_operations
      FOR INSERT
      TO authenticated
      USING (
        ((select auth.jwt()) ->> 'aal') = 'aal2'  -- Assurance Level 2 (MFA)
      );
      ```

      **AAL levels**:
      - `aal1` - Single factor (password only)
      - `aal2` - Multi-factor (password + OTP/biometric)

      ## Pattern 10: IP-Based Restrictions

      **Use case**: Restrict admin operations to office IP.

      ```sql
      CREATE POLICY "admin_office_only"
      ON admin_operations
      FOR ALL
      TO authenticated
      USING (
        ((select auth.jwt()) ->> 'role') = 'admin' AND
        inet_client_addr() << '192.168.1.0/24'::inet  -- Office network
      );
      ```

      **Note**: `inet_client_addr()` returns client IP.

      ## Advanced Patterns Summary

      | Pattern | Use Case | Complexity | Performance Impact |
      |---------|----------|------------|-------------------|
      | Time-based | Scheduled content | Low | Low (with index) |
      | Hierarchical | Org > Team > User | Medium | Medium (needs indexes) |
      | Role-based claims | RBAC | Low | Low (JWT cached) |
      | AAL2 MFA | Sensitive ops | Low | None |
      | IP restrictions | Office-only | Low | None |

      **Best practices**:
      - Prefer JWT claims over database lookups (faster)
      - Always index columns used in policies
      - Use security definer functions for complex checks
      - Test with EXPLAIN ANALYZE
      - Wrap auth functions with SELECT for caching
    elicit: false

  - id: testing
    title: "RLS Testing Strategy"
    instruction: |
      How to test and validate RLS policies:
      
      ## Unit Tests
      
      Test individual policies with different auth contexts:
      
      ```sql
      -- Test as user A
      SET request.jwt.claims = '{"sub": "user-a-uuid"}';
      SELECT * FROM table_name; -- Should only see user A's records
      
      -- Test as user B
      SET request.jwt.claims = '{"sub": "user-b-uuid"}';
      SELECT * FROM table_name; -- Should only see user B's records
      ```
      
      ## Integration Tests
      
      Test with actual Supabase client:
      
      ```typescript
      // Test authenticated access
      const { data, error } = await supabase
        .from('table_name')
        .select('*');
      
      // Verify only authorized records returned
      ```
      
      ## Security Audit
      
      Checklist for RLS validation:
      - [ ] All tables with sensitive data have RLS enabled
      - [ ] No accidental policy holes (test with unauthorized users)
      - [ ] Service role usage is documented and justified
      - [ ] Policies perform well (no slow queries)
      - [ ] Cross-tenant data leakage tested
      - [ ] Anonymous vs authenticated access verified
      - [ ] Edge cases tested (null values, missing context)
      
      ## Automated Testing
      
      Script or framework for continuous validation.
    elicit: false
    
  - id: migration
    title: "RLS Migration Scripts"
    instruction: |
      Concrete SQL migration for implementing these policies:
      
      ## Migration: `YYYYMMDDHHMMSS_add_rls_policies.sql`
      
      ```sql
      -- Enable RLS on tables
      ALTER TABLE table1 ENABLE ROW LEVEL SECURITY;
      ALTER TABLE table2 ENABLE ROW LEVEL SECURITY;
      
      -- Drop existing policies if re-running
      DROP POLICY IF EXISTS "policy_name" ON table_name;
      
      -- Create policies
      CREATE POLICY "policy_name_select"
      ON table_name
      FOR SELECT
      TO authenticated
      USING (auth.uid() = user_id);
      
      CREATE POLICY "policy_name_insert"
      ON table_name
      FOR INSERT
      TO authenticated
      WITH CHECK (auth.uid() = user_id);
      
      -- ... additional policies ...
      
      -- Create indexes to support policies
      CREATE INDEX IF NOT EXISTS idx_table_user_id 
      ON table_name(user_id);
      
      -- Grant permissions
      GRANT SELECT, INSERT, UPDATE, DELETE ON table_name TO authenticated;
      GRANT SELECT ON table_name TO anon;
      ```
      
      ## Rollback Migration
      
      ```sql
      -- Remove policies
      DROP POLICY IF EXISTS "policy_name_select" ON table_name;
      DROP POLICY IF EXISTS "policy_name_insert" ON table_name;
      
      -- Disable RLS
      ALTER TABLE table_name DISABLE ROW LEVEL SECURITY;
      ```
    elicit: false
    
  - id: monitoring
    title: "RLS Monitoring & Debugging"
    instruction: |
      How to monitor and debug RLS policies:
      
      ## Query Performance
      
      Identify slow queries caused by RLS:
      
      ```sql
      -- Check query plans
      EXPLAIN ANALYZE
      SELECT * FROM table_name;
      ```
      
      ## Policy Effectiveness
      
      Verify policies are being applied:
      
      ```sql
      -- Check active policies
      SELECT schemaname, tablename, policyname, permissive, roles, cmd, qual
      FROM pg_policies
      WHERE tablename = 'your_table';
      ```
      
      ## Common Issues
      
      ### Issue: Policy not applying
      - Check RLS is enabled on table
      - Verify user role matches policy target
      - Check auth context is set correctly
      
      ### Issue: Performance degradation
      - Add indexes for policy columns
      - Simplify policy expressions
      - Consider denormalization
      
      ### Issue: Unexpected access
      - Audit all policies on table
      - Check for permissive vs restrictive policies
      - Verify no service role leakage
      
      ## Logging
      
      Log policy violations or unexpected access patterns.
    elicit: false
    
  - id: best-practices
    title: "RLS Best Practices"
    instruction: |
      ## Design Principles
      
      1. **Start Restrictive**: Default deny, explicitly allow
      2. **Minimize Policy Complexity**: Simpler policies are easier to audit
      3. **Use Helper Functions**: Encapsulate complex logic
      4. **Index Policy Columns**: Performance is critical
      5. **Test Extensively**: Security bugs are costly
      6. **Document Everything**: Future you will thank you
      7. **Audit Regularly**: Policies drift over time
      8. **Avoid Service Role**: Use it only when absolutely necessary
      
      ## Common Pitfalls
      
      - Forgetting to enable RLS on new tables
      - Policy expressions with poor performance
      - Not testing with actual user contexts
      - Overly permissive catch-all policies
      - Mixing USING and WITH CHECK incorrectly
      - Not considering null values in policies
      
      ## Security Checklist
      
      - [ ] All sensitive tables have RLS enabled
      - [ ] Policies tested with unauthorized users
      - [ ] Anonymous access limited to public data only
      - [ ] Service role usage is minimal and documented
      - [ ] Policies use indexes for performance
      - [ ] Multi-tenant isolation is verified
      - [ ] Edge cases tested (nulls, empty results)
      - [ ] Policies are documented and reviewed
    elicit: false