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 alinaqi/maggy --skill firebasegit clone --depth 1 https://github.com/alinaqi/maggyWrote 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/alinaqi/maggy/firebase)<a href="https://agentmods.dev/skills/alinaqi/maggy/firebase"><img src="https://agentmods.dev/badge/skills/alinaqi/maggy/firebase.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.04454 |
| Opus 5 | $0.00008 | $0.02227 |
| Sonnet 5 | $0.00003 | $0.00891 |
| Haiku 4.5 | $0.00002 | $0.00445 |
Grade A, and why
firebase 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 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.
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 — 748 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Firebase Skill
Firebase/Firestore patterns for web and mobile applications with real-time data, offline support, and security rules.
Sources: Firebase Docs | Firestore Best Practices | Security Rules
Core Principle
Denormalize with purpose, secure with rules, scale horizontally.
Firestore is a document database - embrace denormalization for read efficiency. Security rules are your server-side validation. Design for your access patterns.
Firebase Stack
| Service | Purpose |
|---|---|
| Firestore | NoSQL document database with real-time sync |
| Authentication | User auth, OAuth, anonymous sessions |
| Storage | File uploads with security rules |
| Functions | Serverless backend (Node.js) |
| Hosting | Static site + CDN |
| Extensions | Pre-built solutions (Stripe, Algolia, etc.) |
Project Setup
Install Firebase CLI
# Install globally
npm install -g firebase-tools
# Login
firebase login
# Initialize in project
firebase init
Initialize with Emulators
firebase init emulators
# Start local development
firebase emulators:start
Project Structure
project/
├── firebase.json # Firebase config
├── firestore.rules # Security rules
├── firestore.indexes.json # Composite indexes
├── storage.rules # Storage security rules
└── functions/ # Cloud Functions
├── src/
├── package.json
└── tsconfig.json
Firestore Data Modeling
Document Structure
// Good: Flat documents with all needed data
interface Post {
id: string;
title: string;
content: string;
authorId: string;
authorName: string; // Denormalized for display
authorAvatar: string; // Denormalized
tags: string[];
likeCount: number; // Aggregated counter
createdAt: Timestamp;
updatedAt: Timestamp;
}
// Collection: posts/{postId}
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 · 748 lines · 16 tokens per session scan A f38ae668e8b9
firebase is a skill published in the GitHub repository alinaqi/maggy (705 stars, last pushed 20d ago), licensed MIT. It adds 16 tokens to every session and 4,454 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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