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 rules/materialize-labs/ai-optimized-starter-app/storagegit clone --depth 1 https://github.com/materialize-labs/ai-optimized-starter-appWhat 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 | $0.00009 | $0.01389 |
| Opus 5 | $0.00005 | $0.00694 |
| Sonnet 5 | $0.00002 | $0.00278 |
| Haiku 4.5 | $0.00001 | $0.00139 |
Grade A, and why
storage 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 2d 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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Supabase Storage Architecture
This document outlines our approach to file storage using Supabase Storage. These guidelines ensure consistent, secure, and efficient file handling across the application.
Core Principles
- Security First: Enforce proper access controls and permissions
- Structured Organization: Maintain consistent file paths and bucket structures
- Performance Optimization: Implement efficient upload/download strategies
- Error Resilience: Handle failures gracefully at all points
Configuration Best Practices
- Use environment variables for all bucket names
// In .env.local NEXT_PUBLIC_SUPABASE_PROFILE_BUCKET="profile-images" // In code const profileBucket = process.env.NEXT_PUBLIC_SUPABASE_PROFILE_BUCKET - Never hardcode bucket names in application code
- Set appropriate file size limits and validate file types
- Use
upsert: trueonly when intentionally replacing files - Always include proper content-type headers when uploading
Bucket Organization
Naming & Structure
- Use kebab-case for bucket names:
profile-images,document-files - Create purpose-specific buckets rather than general-purpose ones
- Document each bucket's purpose and access pattern
Security Policies
- Make buckets private by default
- Implement Row Level Security (RLS) for user-specific access
- Example RLS policy for user-owned files:
CREATE POLICY "Users can only access their own files" ON storage.objects FOR ALL USING (auth.uid()::text = (storage.foldername(name))[1]);
Note: For production deployment, provide SQL scripts for required RLS policies to your DevOps team.
File Path Conventions
Organize files using consistent path structures:
{bucket}/{userId}/{purpose}/{filename}
Examples:
- User avatars:
profile-images/user_123/avatar/profile.jpg - Documents with versioning:
documents/user_123/contracts/2024-02-13-contract.pdf
This structure:
- Enables effective RLS policies
- Simplifies permission management
- Provides natural organization
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.
- 2d ago First seen · 238 lines · 9 tokens per session scan A 64eaed985d53
storage is a cursor rule published in the GitHub repository materialize-labs/ai-optimized-starter-app (16 stars, last pushed 1y ago), licensed MIT. It adds 9 tokens to every session and 1,389 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 2026-08-30.
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