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 followup-plangit 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/followup-plan)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/followup-plan"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/followup-plan/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/microsoft/cat-agent-skills/followup-plan"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/followup-plan.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00142 | $0.01273 |
| Opus 5.5 | $0.00057 | $0.00509 |
| Sonnet 5.5 | $0.00028 | $0.00255 |
| Haiku 4.5 | $0.00014 | $0.00127 |
Grade A, and why
followup-plan 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 2d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Followup Plan
Action level: L1 (draft for human approval). The checklist is drafted; no appointment, referral or order is booked, sent or closed by this plugin.
Purpose
Give the patient and receiving clinician a concrete, dated action list.
When to use
Last skill in the chain, after the summary and instructions are drafted. Typical triggers: "what follow-up does this patient need", "build the follow-up checklist", "who is chasing the pending labs", "just list the pending potassium recheck".
When NOT to use
When NOT to use: do not use it to reconcile medications (med-reconcile), to write the summary (summary-draft) or the patient sheet (patient-instructions). Do not use it to book an appointment, place a referral, notify a clinician or close a pending result - it drafts the list only; booking goes to the calendar tools with clinician confirmation. Do not use it to produce an item with no order behind it, and do not use it to assign an owner by guesswork when the record names none.
Inputs
encounter; pending_results[] (result, ordered_date, owner, due_date, source_note); referral_orders[]; config/followup-rules.json (required fields, allowed owners, max_days_to_first_followup).
Steps
- Extract every follow-up appointment, pending result and referral from the encounter into
followup_checklist[], keeping the order'ssource_noteso the engine can match each order to its checklist item. - Assign an owner drawn from config
allowed_owners(patient, receiving clinician, care coordinator). - Take the due date from the order and cite the order or result in
source_note/documented_date. - Run the followup_check engine tool (
python3 base/scripts/followup_check.py --question <payload> --config config/followup-rules.json --out <payload>). - Resolve every gap in
followup_report- or escalate it - before the packet is handed over.
Output
followup_checklist[{item, owner, due_date, source_note, documented_date, category}] on the contract, plus
followup_report {items_checked, pending_results_checked, referral_orders_checked, gaps[{subject, type, detail, citation}], complete, citation, config, source} and one escalation per gap. Gap types: missing_field,
owner_not_allowed, due_date_out_of_window, due_date_unverifiable (a due date that is not YYYY-MM-DD, or a
missing/unreadable discharge date, so the window cannot be checked), untracked_order (a pending result or referral
with no checklist item). Maps to the C-CDA Plan of Treatment section (LOINC 18776-5) / FHIR R4 ServiceRequest and DiagnosticReport.
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.
- 2d ago First seen · 69 lines · 142 tokens per session scan A 0eca09a33afe
followup-plan is a skill published in the GitHub repository microsoft/cat-agent-skills (101 stars, last pushed yesterday), licensed MIT. It adds 142 tokens to every session and 1,273 once invoked, about $0.0006 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 2026-11-06.
followup-plan compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| followup-planmicrosoft/cat-agent-skills | Skill | 101 | yesterday | MIT | A | 142 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |