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 skills add microsoft/cat-agent-skills --skill campaign-deck-buildergit 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/campaign-deck-builder)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/campaign-deck-builder"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/campaign-deck-builder.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 | $0.00051 | $0.00755 |
| Opus 5 | $0.00026 | $0.00378 |
| Sonnet 5 | $0.00010 | $0.00151 |
| Haiku 4.5 | $0.00005 | $0.00076 |
Grade A, and why
campaign-deck-builder 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 7d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Turn a short interview into a charming, vibrant, highly visual 3-slide new-marketing-campaign deck by filling a bundled PowerPoint template with a bundled Python script.
Step 1 — Interview the user
Ask for these (accept short answers; anything they skip gets a tasteful default). Ask them in a single, friendly batch:
- Brand name
- Campaign name (the headline of the launch)
- Tagline — one line that makes people lean in
- Target audience — who it's for
- The big idea — the single concept the campaign turns on (one sentence)
- Three key messages / benefits (exactly three)
- Channels / activation — where it runs (e.g. TikTok, out-of-home, retail)
- Call to action — the ask
- Closing line — the sign-off
- Brand accent color (optional,
#RRGGBB) — themes the whole deck
Step 2 — Write the answers file
Save the answers as JSON. All keys are optional; messages is a list of three.
{
"brand_name": "Vela",
"campaign_name": "Taste the Quiet",
"tagline": "Botanical sparkling water for your loudest days.",
"audience": "calm-seeking millennials",
"big_idea": "A moment of quiet in every can.",
"messages": ["Zero sugar, all serenity", "Adaptogens that work", "Guilt-free fizz"],
"channels": "TikTok · Out-of-home · Sampling",
"cta": "Pop the quiet.",
"closing": "Vela — find your fizz.",
"accent_hex": "#00A6A6"
}
See assets/answers.example.json for a complete example.
Step 3 — Build the deck
Run the bundled script to produce the finished presentation:
python scripts/build_campaign.py answers.json campaign-deck.pptx
It fills assets/campaign-template.pptx — replacing every {{PLACEHOLDER}}
while preserving the design, rendering the three key messages as visual cards,
and recoloring the deck to the brand accent color when one is given. Missing
answers fall back to sensible defaults, so it always produces a complete
3-slide deck. Hand the resulting campaign-deck.pptx back to the user.
What ships with it
5 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.
- 7d ago First seen · 72 lines · 51 tokens per session scan A 4a4641a6ade1
campaign-deck-builder is a skill published in the GitHub repository microsoft/cat-agent-skills (64 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 755 once invoked, about $0.0003 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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