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 personamanagmentlayer/pcl --skill teams-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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/personamanagmentlayer/pcl/teams-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/teams-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/teams-expert/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/personamanagmentlayer/pcl/teams-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/teams-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00071 | $0.01081 |
| Opus 5 | $0.00036 | $0.00541 |
| Sonnet 5 | $0.00014 | $0.00216 |
| Haiku 4.5 | $0.00007 | $0.00108 |
Grade A, and why
teams-expert 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 5d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Teams Expert
Core Concepts
Teams Platform
- Bots - Conversational interfaces
- Tabs - Embedded web experiences
- Messaging Extensions - Search and action commands
- Webhooks - Incoming/outgoing connectors
- Adaptive Cards - Rich interactive cards
- Task Modules - Modal dialogs
Bot Framework
- Bot Framework SDK - Microsoft bot development
- Teams Toolkit - VS Code extension
- Bot Composer - Visual bot builder
- LUIS - Language understanding
- QnA Maker - Knowledge base bot
- Azure Bot Service - Bot hosting
Integration
- Graph API - Teams data access
- SSO - Single sign-on
- Deep Links - Navigate within Teams
- Activity Feed - Notifications
- Meeting Extensions - In-meeting apps
- App Studio - App configuration tool
Best Practices
Bot Development
- Use Adaptive Cards for rich UX
- Implement proactive messaging carefully
- Handle rate limits properly
- Provide clear help commands
- Use task modules for complex forms
- Test in multiple Teams clients
Tab Development
- Use Teams JavaScript SDK
- Implement SSO for authentication
- Support light/dark themes
- Optimize for mobile
- Handle Teams context
- Deep link appropriately
Security
- Validate all tokens
- Use HTTPS everywhere
- Implement proper OAuth flows
- Store secrets securely
- Validate user permissions
- Sanitize user input
Performance
- Minimize bot response time
- Use caching strategies
- Lazy load tab content
- Optimize images and assets
- Use CDN for static content
- Monitor API usage
Anti-Patterns
Common Mistakes
- Not handling Teams context
- Ignoring mobile experience
- Overly complex Adaptive Cards
- Missing error handling
- Hard-coding tenant IDs
- Not testing in Teams
Design Issues
- Too many bot commands
- Unclear command syntax
- Poor mobile layout
- Inconsistent styling
- Missing loading states
- No offline support
Security Problems
- Exposing secrets in code
- Not validating tokens
- Missing authorization checks
- Insecure data storage
- No logging/monitoring
- Weak error messages
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.
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.
- 5d ago First seen · 168 lines · 71 tokens per session scan A 63074d6efc10
teams-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 3d ago), licensed Apache-2.0. It adds 71 tokens to every session and 1,081 once invoked, about $0.0004 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 2026-09-05.
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