notifications

notifications is a skill for Claude Code from filipebraida/adonisjs-starter-kit. It costs 130 tokens per session (1,599 once invoked), scanned A, original, MIT.

A notification system for an AdonisJS and Inertia application that saves notifications in PostgreSQL and delivers them instantly through Server-Sent Events, a browser connection that receives updates from the server.

In plain words
What is it for?
It helps define notification types, save and stream messages to individual users, show a notification bell and unread badge, list notifications, and mark one or all notifications as seen or read.
Why use it?
It removes the need for users to refresh the page to see new notifications and gives the application one place to manage unread and read state.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Install

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.

agentmods
npx agentmods add skills/filipebraida/adonisjs-starter-kit/notifications
Any agent
npx skills add filipebraida/adonisjs-starter-kit --skill notifications
Clone the repo
git clone --depth 1 https://github.com/filipebraida/adonisjs-starter-kit

Made for: Claude Code.

Wrote 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.

agentmods badge for notifications

README.md
[![agentmods](https://agentmods.dev/badge/skills/filipebraida/adonisjs-starter-kit/notifications.svg)](https://agentmods.dev/skills/filipebraida/adonisjs-starter-kit/notifications)
Your own site
<a href="https://agentmods.dev/skills/filipebraida/adonisjs-starter-kit/notifications"><img src="https://agentmods.dev/badge/skills/filipebraida/adonisjs-starter-kit/notifications.svg" alt="Measured on agentmods" height="20"></a>
Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,599 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00130 $0.01599
Opus 5 $0.00065 $0.00800
Sonnet 5 $0.00026 $0.00320
Haiku 4.5 $0.00013 $0.00160

Measured 6d ago against content hash 859860613f93, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

notifications 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 6d 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.

packages/skills/notifications/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Notifications + SSE

In-app notifications persist as rows in the notifications table and stream to the user's personal channel in realtime via SSE. Facteur (@facteurjs/adonisjs) is the framework: one Notification<User, Params> class per type, with a deliverBy: { database, transmit } config and per-channel methods (asDatabaseMessage, asTransmitMessage). Transmit (@adonisjs/transmit) is the SSE transport — in-memory / single-node by default (transport: null in config/transmit.ts); swap to a distributed transport (e.g. Redis) when scaling out to multiple instances. Emission always goes through domain events: actions emit, a listener calls facteur.notification(...).params(...).to([user]).send().

Rules

  • A dedicated notifications module owns the model, transformer, controller and routes for the bell:
    • GET /notifications → list + unseen count.
    • POST /notifications/:id/read → mark one read.
    • POST /notifications/seen → mark all as seen (the dot disappears; row stays "unread").
    • POST /notifications/read → mark all read.
  • Notification classes live at app/<mod>/notifications/<name>_notification.ts, extending Notification<User, Params>:
    static options = { name: 'user-welcome', deliverBy: { database: true, transmit: true } }
    asDatabaseMessage() { return DatabaseMessage.create().setType(...).setContent({...}).setTags([...]) }
    asTransmitMessage() { return TransmitMessage.create().setContent({ kind: '...' }) }
    
  • User routing via User.notificationTargets():
    {
      database: { notifiableId: String(this.id) },
      transmit: { channel: `notifications/user-${this.id}` },
    }
    
    Facteur maps each channel's target automatically.
  • Emission goes through events — see [[actions-events]]. The listener calls:
    await facteur.notification(SomeNotification).params({...}).to([user]).send()
    
  • Shared prop unseenNotifications (count) is computed in the Inertia middleware when a user is authenticated. It powers the bell badge on first render — the SSE stream keeps it in sync afterward.
  • Bell UI subscribes to the per-user channel via useNotificationsChannel(user.id, onIncoming), hits the endpoint to fetch the list when opened, marks-all-seen on open, marks-read on click.
  • Frontend SSE client is a lazy singleton: one EventSource on /__transmit/events, all channels multiplex through it.
  • SSE transportapps/web/config/transmit.ts defaults to transport: null (in-memory, single-node). The @adonisjs/transmit provider auto-registers the /__transmit/* routes, so the bell works out of the box. Swap transport for a distributed driver (Redis) when horizontally scaling.

Read the full file on GitHub · 113 lines

Files

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.

Changes

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.

  1. 6d ago First seen · 113 lines · 130 tokens per session scan A 859860613f93

Subscribe to this mod's changes

notifications is a skill published in the GitHub repository filipebraida/adonisjs-starter-kit (95 stars, last pushed 26d ago), licensed MIT. It adds 130 tokens to every session and 1,599 once invoked, about $0.0006 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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