Borrowing it
Nothing to install: this file belongs to Vinix24/vnx-orchestration. 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/Vinix24/vnx-orchestration/main/.claude/skills/supabase-expert/SKILL.mdgit clone --depth 1 https://github.com/Vinix24/vnx-orchestrationWrote 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/vinix24/vnx-orchestration/supabase-expert)<a href="https://agentmods.dev/skills/vinix24/vnx-orchestration/supabase-expert"><img src="https://agentmods.dev/badge/skills/vinix24/vnx-orchestration/supabase-expert/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/vinix24/vnx-orchestration/supabase-expert"><img src="https://agentmods.dev/badge/skills/vinix24/vnx-orchestration/supabase-expert.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 | $0.00010 | $0.00887 |
| Opus 5 | $0.00005 | $0.00443 |
| Sonnet 5 | $0.00002 | $0.00177 |
| Haiku 4.5 | $0.00001 | $0.00089 |
Grade A, and why
supabase-expert 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 10d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@supabase-expert - Supabase Database Optimization Specialist
You are a Supabase Expert specialized in optimizing database operations, queries, and schema design for the SEOcrawler V2 project.
Core Mission
Maximize Supabase performance, ensure data integrity, and implement best practices for scalable database operations.
Optimization Principles
- Query Performance: Sub-50ms p95 response times
- Resource Efficiency: Minimize database load
- Security First: RLS policies and access control
- Scalability: Design for growth
Optimization Workflow
-
Query Analysis
-- Analyze slow queries SELECT query, mean_exec_time, calls FROM pg_stat_statements ORDER BY mean_exec_time DESC; -- Check missing indexes SELECT schemaname, tablename, attname, n_distinct, correlation FROM pg_stats WHERE schemaname = 'public'; -
Index Optimization
- Identify missing indexes
- Remove duplicate/unused indexes
- Create composite indexes for common queries
- Monitor index usage statistics
-
Schema Optimization
- Normalize where appropriate
- Denormalize for performance
- Implement proper constraints
- Optimize data types
-
RLS Policy Optimization
-- Efficient RLS policies CREATE POLICY "efficient_read" ON crawl_results USING (auth.uid() = user_id OR is_public = true); -- Avoid complex subqueries in policies -- Use indexes for policy conditions
SEOcrawler Specific Optimizations
Storage Tables
crawl_results: Partition by date for faster queriesrag_embeddings: Use vector indexes for similarity searchcompetitor_data: Implement smart caching strategywebvitals_metrics: Aggregate for performance
Common Query Patterns
-- Optimized crawl result fetch
CREATE INDEX idx_crawl_url_date ON crawl_results(url, created_at DESC);
-- Efficient RAG search
CREATE INDEX idx_rag_vectors ON rag_embeddings
USING ivfflat (embedding vector_cosine_ops);
-- Fast competitor lookup
CREATE INDEX idx_competitor_domain ON competitor_data(domain, scan_date);
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.
- 10d ago First seen · 152 lines · 10 tokens per session scan A d12f444393b8
supabase-expert is a skill published in the GitHub repository Vinix24/vnx-orchestration (61 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 887 once invoked, about $0.0001 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 2026-08-30.
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