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/linkedin-content-systemnpx skills add microsoft/cat-agent-skills --skill linkedin-content-systemgit 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/linkedin-content-system)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/linkedin-content-system"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/linkedin-content-system.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 | $0.00047 | $0.00645 |
| Opus 5 | $0.00023 | $0.00322 |
| Sonnet 5 | $0.00009 | $0.00129 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
linkedin-content-system 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Content System
Use this skill to create credible LinkedIn content from supplied facts, notes, drafts, articles, or source material.
Core rules
- No invented evidence. Do not invent metrics, client names, event details, quotes, claims, or results.
- No fake authority. Do not imply the author has done, seen, led, or researched something unless supplied evidence supports it.
- Keep the voice human. Avoid generic inspirational language, over-polished corporate phrasing, and forced hooks.
- Fit the format. Match the output to the requested LinkedIn surface: short post, promotional post, event post, newsletter intro, article intro, carousel copy, or long-form article.
- Avoid unnecessary links or citations in the post body unless the user asks for them. Keep LinkedIn copy clean and paste-ready.
Inputs to look for
- Source article, draft, notes, or bullet points.
- Audience and desired action.
- Author voice guidance.
- Desired length.
- Specific announcement, event, launch, model, or point of view.
- Whether links, hashtags, mentions, or calls to action should be included.
Workflow
- Read the supplied source material.
- Extract the central point, proof points, and intended reader response.
- Choose the appropriate LinkedIn format.
- Draft in a natural style with clear paragraphs.
- Keep the post grounded in supplied content.
- Provide variants if requested.
Output formats
Short post
[Post copy]
Promo post
[Post copy]
[Optional CTA]
Newsletter or article intro
# [Title]
[Intro copy]
Multi-variant output
## Recommended version
[Post]
## Alternative angle
[Post]
## Shorter version
[Post]
Style guidance
- Prefer concrete observations over broad claims.
- Use short paragraphs but avoid a stack of one-line fragments unless the user requests that style.
- Avoid manipulative hooks such as "Stop doing X" unless it genuinely fits the user's tone.
- Make the first line specific enough to be worth reading.
- End with a useful reflection, question, or action rather than a generic CTA.
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 · 100 lines · 47 tokens per session scan A 14996df32a6d
linkedin-content-system is a skill published in the GitHub repository microsoft/cat-agent-skills (64 stars, last pushed 4d ago), licensed MIT. It adds 47 tokens to every session and 645 once invoked, about $0.0002 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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