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 fabioc-aloha/Alex_Skill_Mall --skill msal-singleton-patterngit clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_MallWrote 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/fabioc-aloha/alex_skill_mall/msal-singleton-pattern)<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.
<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>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 | $0.00017 | $0.00838 |
| Opus 5 | $0.00009 | $0.00419 |
| Sonnet 5 | $0.00003 | $0.00168 |
| Haiku 4.5 | $0.00002 | $0.00084 |
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.
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>;
}
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 · 126 lines · 17 tokens per session scan A a4b2ab786562
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.
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