Borrowing it
Nothing to install: this file belongs to fiinytid/nexusai.gg. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fiinytid/nexusai.gg/main/.agents/skills/supabase/SKILL.mdgit clone --depth 1 https://github.com/fiinytid/nexusai.ggWrote 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/fiinytid/nexusai.gg/supabase)<a href="https://agentmods.dev/skills/fiinytid/nexusai.gg/supabase"><img src="https://agentmods.dev/badge/skills/fiinytid/nexusai.gg/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/fiinytid/nexusai.gg/supabase"><img src="https://agentmods.dev/badge/skills/fiinytid/nexusai.gg/supabase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00125 | $0.02618 |
| Opus 5 | $0.00063 | $0.01309 |
| Sonnet 5 | $0.00025 | $0.00524 |
| Haiku 4.5 | $0.00013 | $0.00262 |
Grade A, and why
supabase scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`curl -so /dev/null -w "%{http_code}" https://mcp.supabase.com/mcp` This is a copy
88% identical to supabase — 18 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Supabase
Core Principles
1. Supabase changes frequently — verify against changelog and current docs before implementing. Do not rely on training data for Supabase features. Function signatures, config.toml settings, and API conventions change between versions.
First, fetch https://supabase.com/changelog.md (a lightweight summary index — not a heavy pull), scan for breaking-change tags relevant to your task, and follow the linked page for any that apply. Then look up the relevant topic using the documentation access methods below.
2. Verify your work. After implementing any fix, run a test query to confirm the change works. A fix without verification is incomplete.
3. Recover from errors, don't loop. If an approach fails after 2-3 attempts, stop and reconsider. Try a different method, check documentation, inspect the error more carefully, and review relevant logs when available. Supabase issues are not always solved by retrying the same command, and the answer is not always in the logs, but logs are often worth checking before proceeding.
4. Exposing tables to the Data API: Depending on the user's Data API settings, newly created tables may not be automatically exposed via the Data (REST) API. If this is the case, anon and authenticated roles will need to be explicitly granted access.
Note that this is separate from RLS, which controls which rows are visible once a table is accessible, not whether the table is accessible at all.
When a user reports a SQL-created table is unexpectedly inaccessible, check their Data API settings and whether the roles have been granted access via explicit GRANT SQL. When granting public (anon/authenticated) access, always enable RLS too. See Exposing a Table to the Data API for the full setup workflow.
5. RLS in exposed schemas.
Enable RLS on every table in any exposed schema, which includes public by default. This is critical in Supabase because tables in exposed schemas can be reachable through the Data API when the anon/authenticated roles have access (see Exposing a Table to the Data API). For private schemas, prefer RLS as defense in depth. After enabling RLS, create policies that match the actual access model rather than defaulting every table to the same auth.uid() pattern.
What ships with it
3 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.
- 8d ago First seen · 136 lines · 125 tokens per session scan A 1171386737b2
supabase is a skill published in the GitHub repository fiinytid/nexusai.gg (2 stars, last pushed 1mo ago), licensed MIT. It adds 125 tokens to every session and 2,618 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to supabase, differing in 18 lines, and is treated as a copy.
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