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 skills/pleaseai/claude-code-plugins/microsoftnpx skills add pleaseai/claude-code-plugins --skill microsoftgit clone --depth 1 https://github.com/pleaseai/claude-code-pluginsWrote 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/pleaseai/claude-code-plugins/microsoft)<a href="https://agentmods.dev/skills/pleaseai/claude-code-plugins/microsoft"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/microsoft.svg" alt="Measured on agentmods" 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 | $0.00133 | $0.03134 |
| Opus 5 | $0.00067 | $0.01567 |
| Sonnet 5 | $0.00027 | $0.00627 |
| Haiku 4.5 | $0.00013 | $0.00313 |
Grade A, and why
microsoft scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Bash(npx emulate:*), Bash(emulate:*), Bash(curl:*) This is a copy
100% identical to microsoft — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Entra ID Emulator
Microsoft Entra ID (Azure AD) v2.0 OAuth 2.0 and OpenID Connect emulation with authorization code flow, PKCE, client credentials, RS256 ID tokens, OIDC discovery, and a Microsoft Graph /v1.0/me endpoint.
Start
# Microsoft only
npx emulate --service microsoft
# Default port (when run alone)
# http://localhost:4000
Or programmatically:
import { createEmulator } from 'emulate'
const microsoft = await createEmulator({ service: 'microsoft', port: 4005 })
// microsoft.url === 'http://localhost:4005'
Pointing Your App at the Emulator
Environment Variable
MICROSOFT_EMULATOR_URL=http://localhost:4005
OAuth URL Mapping
| Real Microsoft URL | Emulator URL |
|---|---|
https://login.microsoftonline.com/{tenant}/v2.0/.well-known/openid-configuration |
$MICROSOFT_EMULATOR_URL/{tenant}/v2.0/.well-known/openid-configuration |
https://login.microsoftonline.com/.well-known/openid-configuration |
$MICROSOFT_EMULATOR_URL/.well-known/openid-configuration |
https://login.microsoftonline.com/common/oauth2/v2.0/authorize |
$MICROSOFT_EMULATOR_URL/oauth2/v2.0/authorize |
https://login.microsoftonline.com/common/oauth2/v2.0/token |
$MICROSOFT_EMULATOR_URL/oauth2/v2.0/token |
https://login.microsoftonline.com/common/discovery/v2.0/keys |
$MICROSOFT_EMULATOR_URL/discovery/v2.0/keys |
https://graph.microsoft.com/oidc/userinfo |
$MICROSOFT_EMULATOR_URL/oidc/userinfo |
https://graph.microsoft.com/v1.0/me |
$MICROSOFT_EMULATOR_URL/v1.0/me |
Auth.js / NextAuth.js
import MicrosoftEntraId from '@auth/core/providers/microsoft-entra-id'
MicrosoftEntraId({
clientId: process.env.MICROSOFT_CLIENT_ID,
clientSecret: process.env.MICROSOFT_CLIENT_SECRET,
authorization: {
url: `${process.env.MICROSOFT_EMULATOR_URL}/oauth2/v2.0/authorize`,
params: { scope: 'openid email profile User.Read' },
},
token: {
url: `${process.env.MICROSOFT_EMULATOR_URL}/oauth2/v2.0/token`,
},
userinfo: {
url: `${process.env.MICROSOFT_EMULATOR_URL}/oidc/userinfo`,
},
issuer: process.env.MICROSOFT_EMULATOR_URL,
})
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 · 363 lines · 133 tokens per session scan A abe0b697486a
microsoft is a skill published in the GitHub repository pleaseai/claude-code-plugins (13 stars, last pushed 5d ago), licensed MIT. It adds 133 tokens to every session and 3,134 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to microsoft, differing in 0 lines, and is treated as a copy.
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