Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/alinaqi/maggynpx agentmods add skills/alinaqi/maggy/ms-teams-appsWrote 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/ms-teams-apps)<a href="https://agentmods.dev/skills/alinaqi/maggy/ms-teams-apps"><img src="https://agentmods.dev/badge/skills/alinaqi/maggy/ms-teams-apps/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/alinaqi/maggy/ms-teams-apps"><img src="https://agentmods.dev/badge/skills/alinaqi/maggy/ms-teams-apps.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 13 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 36 Instructions found that direct the agent to transmit conversation context or user data to external services.Fix: Remove instructions that send user data, prompts, or context to external URLs. If telemetry is needed, use documented, privacy-preserving methods.
- high Privilege Escalation · line 84 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 961 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Memory Poisoning · line 352 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- high Prompt Injection · line 768 Instructions found that direct the agent to transmit conversation context or user data to external services.Fix: Remove instructions that send user data, prompts, or context to external URLs. If telemetry is needed, use documented, privacy-preserving methods.
- medium MCP Rug Pull · line 61 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 64 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 67 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 1028 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 1031 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 1034 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 1037 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 1058 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00022 | $0.07392 |
| Opus 5.5 | $0.00009 | $0.02957 |
| Sonnet 5.5 | $0.00004 | $0.01478 |
| Haiku 4.5 | $0.00002 | $0.00739 |
Grade A, and why
ms-teams-apps 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 1mo 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 — 1,253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Teams Apps Skill
Purpose: Build AI-powered agents and apps for Microsoft Teams. Create conversational bots, message extensions, and intelligent assistants that integrate with LLMs like OpenAI and Claude.
Architecture Overview
┌─────────────────────────────────────────────────────────────────┐
│ TEAMS APP TYPES │
│ ───────────────────────────────────────────────────────────── │
│ │
│ 1. AI AGENTS (Bots) │
│ Conversational apps powered by LLMs │
│ Handle messages, commands, and actions │
│ │
│ 2. MESSAGE EXTENSIONS │
│ Search external systems, insert cards into messages │
│ Action commands with modal dialogs │
│ │
│ 3. TABS │
│ Embedded web applications inside Teams │
│ Personal, channel, or meeting tabs │
│ │
│ 4. WEBHOOKS & CONNECTORS │
│ Incoming: Post messages to channels │
│ Outgoing: Respond to @mentions │
├─────────────────────────────────────────────────────────────────┤
│ SDK LANDSCAPE (2025) │
│ ───────────────────────────────────────────────────────────── │
│ Teams SDK v2: Primary SDK for Teams-only apps │
│ M365 Agents SDK: Multi-channel (Teams, Outlook, Copilot) │
│ Teams Toolkit: VS Code extension for development │
└─────────────────────────────────────────────────────────────────┘
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.
- 1mo ago Changed 619981108630
- 1mo ago First seen · 1,253 lines · 22 tokens per session scan A a1b0a082c094
ms-teams-apps is a skill published in the GitHub repository alinaqi/maggy (711 stars, last pushed 14d ago), licensed MIT. It adds 22 tokens to every session and 7,392 once invoked, about $0.0001 per session on Opus 5.5. 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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