msal-singleton-pattern

msal-singleton-pattern is a skill for Claude Code, Codex from fabioc-aloha/Alex_Skill_Mall. It costs 17 tokens per session (838 once invoked), scanned A, original, MIT.

A guide to using one shared MSAL.js authentication object in a React or Next.js app that signs users in with Microsoft Entra ID (formerly Azure Active Directory).

In plain words
What is it for?
Use it when implementing or debugging sign-in, token renewal, and redirect flows in React or Next.js applications.
Why use it?
It prevents token-cache conflicts, failed silent token refreshes, random logouts, and competing login redirects caused by creating multiple authentication objects.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when implementing or debugging sign-in, token renewal, and redirect flows in React or Next.js applications.

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Install with agentmods
npx agentmods add skills/fabioc-aloha/alex_skill_mall/msal-singleton-pattern
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.

Any agent
npx skills add fabioc-aloha/Alex_Skill_Mall --skill msal-singleton-pattern
Clone the repo
git clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_Mall

Made for: Claude Code, Codex.

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 msal-singleton-pattern

README.md
[![agentmods](https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/msal-singleton-pattern/github.svg)](https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/msal-singleton-pattern)
Your own site
<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/msal-singleton-pattern"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/msal-singleton-pattern/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.

agentmods 80×15 button for msal-singleton-pattern

Your own site · 80×15
<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/msal-singleton-pattern"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/msal-singleton-pattern.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 838 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00017 $0.00838
Opus 5 $0.00009 $0.00419
Sonnet 5 $0.00003 $0.00168
Haiku 4.5 $0.00002 $0.00084

Measured 8d ago against content hash a4b2ab786562, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

msal-singleton-pattern 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.

plugins/cloud-infrastructure/msal-singleton-pattern/skills/msal-singleton-pattern/SKILL.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MSAL Singleton Pattern

Category: Azure Time Saved: 1+ hour debugging silent auth failures Battle-tested: Yes — HeadstartWebsite, Next.js + Azure projects


The Problem

Your React/Next.js app uses MSAL.js for Azure AD authentication. Login works, but token refresh fails silently. Sometimes users get logged out randomly. The console shows cryptic "interaction_in_progress" errors.

Why It Happens

MSAL.js PublicClientApplication maintains an internal token cache and tracks in-flight auth requests. Creating multiple instances causes:

  • Token cache conflicts (different instances don't share tokens)
  • Race conditions on acquireTokenSilent
  • "interaction_in_progress" errors when two instances try to redirect

The Rule

Initialize MSAL once, share the singleton across your entire app

// ❌ BROKEN — new instance on every import/render
function getAuth() {
  return new PublicClientApplication(msalConfig);
}

// ✅ CORRECT — module-level singleton with async init
let msalInstance: PublicClientApplication | null = null;
let initPromise: Promise<PublicClientApplication> | null = null;

export async function getMsalInstance(): Promise<PublicClientApplication> {
  if (msalInstance) return msalInstance;
  
  if (!initPromise) {
    initPromise = (async () => {
      const instance = new PublicClientApplication(msalConfig);
      await instance.initialize();  // Required in MSAL.js 2.x+
      msalInstance = instance;
      return instance;
    })();
  }
  
  return initPromise;
}

React Integration

// MsalProvider.tsx
import { MsalProvider } from '@azure/msal-react';
import { getMsalInstance } from './msal-singleton';

export function AuthProvider({ children }: { children: React.ReactNode }) {
  const [instance, setInstance] = useState<PublicClientApplication | null>(null);

  useEffect(() => {
    getMsalInstance().then(setInstance);
  }, []);

  if (!instance) return <Loading />;

  return <MsalProvider instance={instance}>{children}</MsalProvider>;
}

Read the full file on GitHub · 126 lines

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. 8d ago First seen · 126 lines · 17 tokens per session scan A a4b2ab786562

Subscribe to this mod's changes

msal-singleton-pattern is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 838 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 2026-09-03.