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.
npx skills add ashish7802/awesome-api-skills --skill supabasegit clone --depth 1 https://github.com/ashish7802/awesome-api-skillsWrote 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.
[](https://agentmods.dev/skills/ashish7802/awesome-api-skills/supabase)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/supabase"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/supabase/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/supabase"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/supabase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00476 |
| Opus 5 | $0.00000 | $0.00238 |
| Sonnet 5 | $0.00000 | $0.00095 |
| Haiku 4.5 | $0.00000 | $0.00048 |
Grade A, and why
supabase 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 6d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Supabase API Skill
Overview
Supabase provides Postgres database access, authentication, edge functions, and storage. This skill covers the @supabase/supabase-js client and Row Level Security (RLS).
Installation
npm install @supabase/supabase-js
pip install supabase
Authentication
Clients use the SUPABASE_URL and anon key. Server environments use the service_role key to bypass RLS.
Core Concepts
- RLS (Row Level Security): Postgres policies that restrict row access based on the authenticated user.
- Realtime: Postgres CDC streamed over WebSockets.
Common Workflows
- Authenticate user via
supabase.auth.signInWithPassword. - Query data:
supabase.from('table').select('*'). - RLS automatically filters rows.
Error Handling
Supabase returns { data, error }. Always check if (error) rather than relying on try/catch, as the JS client does not throw exceptions for query errors.
Security
Never expose the service_role key to the frontend. Always enable RLS on public tables.
Rate Limits
Auth API is heavily rate-limited to prevent brute-forcing. Database queries are limited by your Postgres instance compute.
Best Practices
Use generated TypeScript types (supabase gen types typescript) to ensure type-safe database queries.
Troubleshooting
If queries return empty arrays [] instead of expected data, it is almost always due to missing or misconfigured RLS policies.
References
Why use this skill
Use this when your agent works with supabase — structured patterns beat pasted docs and prevent common hallucinations.
AI pitfalls
- Inventing column names or schema fields
- Using deprecated driver methods or wrong connection strings
- Omitting connection pooling or transaction boundaries
Production checklist
- Migrations version-controlled and applied via CI
- Connection limits and pooling configured
- Backups and restore procedure documented
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 60 lines · 0 tokens per session scan A 56080ac7e586
supabase is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 476 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.
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