microsoft/cat-agent-skills is a static website that catalogs reusable instruction sets and related packages for AI agents. People use it to search, filter, rate, and download skills for Cowork, Copilot Studio, and Scout, along with Copilot plugins and Scout automations. The catalogue entries are the skills, instructions, plugins, and settings displayed by the site.
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/microsoft/cat-agent-skills/conditional-chat-remindernpx skills add microsoft/cat-agent-skills --skill conditional-chat-remindergit clone --depth 1 https://github.com/microsoft/cat-agent-skillsWrote 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/microsoft/cat-agent-skills/conditional-chat-reminder)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/conditional-chat-reminder"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/conditional-chat-reminder.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 | $0.00085 | $0.01288 |
| Opus 5 | $0.00043 | $0.00644 |
| Sonnet 5 | $0.00017 | $0.00258 |
| Haiku 4.5 | $0.00009 | $0.00129 |
Grade A, and why
conditional-chat-reminder 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 6d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create one enabled, one-time Scout automation that captures the chat's state now, checks only for later relevant updates, and either suppresses or sends the agreed reminder.
Resolve the request
- Resolve the exact Teams chat with the available Work IQ tools and retain its immutable chat ID. Never select a chat from its display name alone when more than one match exists.
- Establish:
- the person or people whose later messages count as news;
- the subject, commitment, or expected update;
- what would materially change the current state;
- the exact execution date, time, and time zone;
- the exact reminder text.
- Infer details that are explicit in the request or chat context. Ask one concise question only when a critical detail remains ambiguous. Resolve relative dates against the current date and repeat the resulting absolute date, time, and time zone.
- If reminder wording was not provided, draft a short, neutral message. Do not invent a commitment, deadline, status, or recipient.
Freeze the baseline
- Get the current user's profile and fetch enough recent messages from the resolved chat to understand the named subject.
- Confirm the chat is readable before creating an automation.
- Immediately before creating the automation, fetch the newest messages once more and use the newest message as the exclusive baseline marker.
- Capture these immutable values for the automation prompt:
- chat ID and human-readable label;
- monitored people's stable IDs or email addresses and display names;
- baseline capture time in UTC;
- newest message ID at the baseline and that message's creation time, or an explicit empty-chat marker;
- a concise topic description and current-state summary;
- explicit criteria for a qualifying update;
- exact reminder text;
- the current user's identity.
- The baseline marker and every older message are context only. They must never suppress the future reminder.
What ships with it
2 files 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.
- 6d ago First seen · 120 lines · 85 tokens per session scan A c39c6933af4a
conditional-chat-reminder is a skill published in the GitHub repository microsoft/cat-agent-skills (64 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 1,288 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 2026-08-30.
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