Skill Supabase Rls logo

Skill Supabase Rls

Organization
IAPro-Community
skill-supabase-rls

Design and review defensive Supabase/Postgres Row Level Security for SaaS systems. Use for RLS policies, auth-aware tenant isolation, storage policies, service-role boundaries, migrations, indexes, positive/negative access tests, and data-isolation security reviews.

Overview

PublisherIAPro-Community
RepositoryOrquestrador-Maestro
Skill nameskill-supabase-rls
Stars
63
Forks
11
Bundled files
4
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by IAPro-Community on GitHub. Read the source before you install it.

Installation

Install the Skill Supabase Rls AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/IAPro-Community/Orquestrador-Maestro/tree/v1/codex/skills/skill-supabase-rls
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/IAPro-Community/Orquestrador-Maestro.git /tmp/Orquestrador-Maestro
mkdir -p .claude/skills
cp -r /tmp/Orquestrador-Maestro/codex/skills/skill-supabase-rls .claude/skills/skill-supabase-rls
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Supabase Rls in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Supabase Rls on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Supabase Rls is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

skill-supabase-rls

Authorization gate

Use this skill for projects the user owns or is authorized to modify. For production databases, do not run migrations, resets, destructive SQL, or policy changes without explicit approval in the current task.

Record:

  • Project and environment: local, staging, preview, or production.
  • Tables, schemas, buckets, and tenants in scope.
  • Whether changes are advisory, migration-ready, or approved for execution.

Core rules

  1. Enable RLS on every user-facing table in exposed schemas.
  2. Browser clients must use anon/user auth, never service-role keys.
  3. Service-role keys are allowed only in server functions, controllers, jobs, or trusted backends.
  4. Policies must include user ownership, tenant membership, or explicit role checks.
  5. Admin cross-tenant reads should go through backend routes or RPC with explicit authorization.
  6. Add indexes that match policy predicates and dashboard filters.
  7. Avoid new select('*') reads in application code when sensitive columns exist.
  8. Test positive and negative access cases before claiming security is complete.
  9. Remember that after RLS is enabled, API access with browser-safe keys returns no rows until explicit policies exist.
  10. For SQL-created tables in exposed schemas, enable RLS deliberately; do not rely on dashboard defaults.

Severity and gates

  • Critical: service-role key exposed to client code, RLS disabled on user-facing sensitive tables, cross-tenant read/write, public write access to sensitive data. Block release.
  • High: missing tenant predicate, admin bypass without server-side authorization, storage bucket policy exposing private files, unsafe SECURITY DEFINER function. Block merge until fixed or risk-accepted.
  • Medium: missing policy indexes, broad select('*'), ambiguous anonymous access, missing negative tests. Require ticketed remediation.
  • Low/Info: naming, documentation, policy simplification, performance tuning without direct exposure. Track without blocking.

Policy patterns

Use direct ownership when a row belongs to a user:

sql
CREATE POLICY "users_read_own_rows" ON table_name
  FOR SELECT
  TO authenticated
  USING ((SELECT auth.uid()) = user_id);

Use membership checks for tenant/workspace data:

sql
CREATE POLICY "members_read_tenant_rows" ON table_name
  FOR SELECT
  TO authenticated
  USING (
    EXISTS (
      SELECT 1
      FROM tenant_members tm
      WHERE tm.tenant_id = table_name.tenant_id
        AND tm.user_id = (SELECT auth.uid())
    )
  );

Use WITH CHECK for write policies:

sql
CREATE POLICY "members_create_tenant_rows" ON table_name
  FOR INSERT
  TO authenticated
  WITH CHECK (
    EXISTS (
      SELECT 1
      FROM tenant_members tm
      WHERE tm.tenant_id = table_name.tenant_id
        AND tm.user_id = (SELECT auth.uid())
        AND tm.role IN ('owner', 'admin')
    )
  );

Add supporting indexes:

sql
CREATE INDEX IF NOT EXISTS idx_table_name_tenant_id ON table_name(tenant_id);
CREATE INDEX IF NOT EXISTS idx_table_name_user_id ON table_name(user_id);
CREATE INDEX IF NOT EXISTS idx_tenant_members_user_tenant ON tenant_members(user_id, tenant_id);

Validation queries

Check exposed tables without RLS:

sql
SELECT n.nspname AS schema_name, c.relname AS table_name
FROM pg_class c
JOIN pg_namespace n ON n.oid = c.relnamespace
WHERE c.relkind = 'r'
  AND n.nspname IN ('public', 'storage')
  AND c.relrowsecurity = false
ORDER BY 1, 2;

List policies for review:

sql
SELECT schemaname, tablename, policyname, roles, cmd, qual, with_check
FROM pg_policies
WHERE schemaname IN ('public', 'storage')
ORDER BY schemaname, tablename, policyname;

For access tests, prove both cases:

  • Positive: an authorized user can read/write only the intended row or object.
  • Negative: another user or tenant cannot read/write the same row or object.

Related files

  • Read RULES.md for detailed SQL patterns.
  • Read TROUBLESHOOTING.md for common RLS failures and diagnostics.

Related skills

  • skill-saas-factory
  • skill-saas-core-limits
  • skill-saas-security-scan
  • skill-security-hooks

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Supabase Rls AI skill do?

Design and review defensive Supabase/Postgres Row Level Security for SaaS systems. Use for RLS policies, auth-aware tenant isolation, storage policies, service-role boundaries, migrations, indexes, positive/negative access tests, and data-isolation security reviews.

Why use Skill Supabase Rls on TypingMind?

Because you install it once and use it with any model. Skill Supabase Rls is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Supabase Rls in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/IAPro-Community/Orquestrador-Maestro/tree/v1/codex/skills/skill-supabase-rls. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Supabase Rls?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Supabase Rls?

As many as you like. As long as a model supports skills, you can use Skill Supabase Rls with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Supabase Rls AI skill free?

Yes. It is published on GitHub by IAPro-Community under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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