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 YuDefine/nuxt-supabase-starter --skill supabase-archgit clone --depth 1 https://github.com/YuDefine/nuxt-supabase-starterWrote 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/yudefine/nuxt-supabase-starter/supabase-arch)<a href="https://agentmods.dev/skills/yudefine/nuxt-supabase-starter/supabase-arch"><img src="https://agentmods.dev/badge/skills/yudefine/nuxt-supabase-starter/supabase-arch/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/yudefine/nuxt-supabase-starter/supabase-arch"><img src="https://agentmods.dev/badge/skills/yudefine/nuxt-supabase-starter/supabase-arch.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 | $0.00049 | $0.00562 |
| Opus 5 | $0.00024 | $0.00281 |
| Sonnet 5 | $0.00010 | $0.00112 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
supabase-arch 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.
What it actually says
Supabase 架構決策指南
資料存取模式已定義在 CLAUDE.md（Client 讀、Server 寫）。本 skill 提供架構決策指引。
Schema 邊界
- core / auth: 授權相關（user_roles、allowed_emails、user_preferences、enum、函式）
- app / 專案名稱: 業務資料表
- public: 不存放業務資料；SDK 查詢使用
client.schema('core')或client.schema('app')
快速決策表
| 場景 | 方案 |
|---|---|
| 簡單 CRUD | Client SDK + RLS |
| 跨表交易 | Postgres RPC |
| 第三方 API | Edge Function |
| Webhook | Edge Function |
| 排程任務（DB 內部） | pg_cron |
| 排程任務（外部邏輯） | Edge Function + Cron |
| 即時更新 | SDK + Realtime |
| 複雜統計 | Materialized View + pg_cron |
| 權限繞過 | RPC (Security Definer) |
| 檔案處理 | Edge Function (Stream) |
| 敏感金鑰 | Edge Function (環境變數) |
需要更詳細的決策指引？→ references/decision-tree.md
效能評估
- High Concurrency (>100 req/s)：讀取密集加 Redis/CDN 快取，寫入密集用 Message Queue
- Standard：遵循快速決策表
檢查清單
安全性
- RLS First：所有 Table 預設開啟 RLS
- Never Trust Client：前端資料在 DB/Edge 層驗證
- Service Role：僅在 Edge Function 或 RPC 內部使用
效能
- Filter/Join 欄位建立 Index
- 避免
select('*')，明確指定欄位 - 外部請求設定 Timeout
What ships with it
1 file 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.
- 10d ago First seen · 56 lines · 49 tokens per session scan A 2f1c4fc7d0f2
supabase-arch is a skill published in the GitHub repository YuDefine/nuxt-supabase-starter (45 stars, last pushed today), licensed MIT. It adds 49 tokens to every session and 562 once invoked, about $0.0002 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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