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 agentmods add skills/dhaupin/vant/vant-skill-supabasenpx skills add dhaupin/vant --skill vant-skill-supabasegit clone --depth 1 https://github.com/dhaupin/vantWrote 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/dhaupin/vant/vant-skill-supabase)<a href="https://agentmods.dev/skills/dhaupin/vant/vant-skill-supabase"><img src="https://agentmods.dev/badge/skills/dhaupin/vant/vant-skill-supabase.svg" alt="Measured on agentmods" 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 | $0.00006 | $0.00348 |
| Opus 5 | $0.00003 | $0.00174 |
| Sonnet 5 | $0.00001 | $0.00070 |
| Haiku 4.5 | $0.00001 | $0.00035 |
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 5d 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.
What it actually says
Supabase
Backend operations.
When To Use
- PostgreSQL backend
- Auth needed
- Real-time data
- Edge functions
What To Do
1. Connect
# supabase-js
import { createClient } from '@supabase/supabase-js'
const supabase = createClient(
'https://xxx.supabase.co',
'public-anon-key'
)
2. Common Operations
| Operation | What |
|---|---|
| select | Query data |
| insert | Insert data |
| update | Update data |
| delete | Delete data |
| subscribe | Real-time |
3. Auth
// Sign up
const { user, session } = await supabase.auth.signUp({
email: '[email protected]',
password: 'password'
})
// Sign in
const { user, session } = await supabase.auth.signInWithPassword({
email: '[email protected]',
password: 'password'
})
4. Edge Functions
supabase functions serve
supabase functions deploy my-function
Output
## Supabase
| Table | Rows | Status |
|-------|------|--------|
| [name] | [n] | [OK] |
### Functions
- [list]
Role: Supabase Backend
Input: Tables, functions
Output: Working backend
Backend as a service.
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.
- 5d ago First seen · 93 lines · 6 tokens per session scan A 49505858d40a
supabase is a skill published in the GitHub repository dhaupin/vant (9 stars, last pushed 5d ago), licensed MIT. It adds 6 tokens to every session and 348 once invoked, about $0.0000 per session on Opus 5. 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 2026-08-31.
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Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics.
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Atomic git commit with conventional message. Use when the user says "commit", "save my changes", "commit this", or wants to create a git commit. Stages specific files, writes a conventional commit message with body explaining non-obvious decisions. Never uses git add -A.
python-run
Run and debug Python scripts in the project. Use when the user says "run python", "execute this script", "debug this py file", or wants to run/modify a .py file. Handles dependency checks, linting, execution, and error analysis.
document-processor
Guidance for processing documents, extracting content, and transforming structured information. Use when the user asks to process, parse, extract, or transform document content such as PDFs, Word files, or spreadsheets.