followup-plan

followup-plan is a skill for Claude Code, Codex from microsoft/cat-agent-skills. It costs 142 tokens per session (1,273 once invoked), scanned A, original, MIT.

A dated checklist of follow-up appointments, referrals, and pending test results from a hospital stay. It records the responsible person when the record names one, but it does not book appointments or send referrals.

In plain words
What is it for?
It helps list rechecks, referral actions, pending results, due dates, and assigned owners for the patient and receiving clinician.
Why use it?
Important tasks after discharge can be missed when they are spread across notes and orders. This gathers them into one evidence-based list without guessing who owns an item.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit It helps list rechecks, referral actions, pending results, due dates, and assigned owners for the patient and receiving clinician.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/cat-agent-skills/followup-plan
About the project

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.

microsoft/cat-agent-skills · 101 stars · on GitHub

Install

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.

Any agent
npx skills add microsoft/cat-agent-skills --skill followup-plan
Clone the repo
git clone --depth 1 https://github.com/microsoft/cat-agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for followup-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/followup-plan/github.svg)](https://agentmods.dev/skills/microsoft/cat-agent-skills/followup-plan)
Your own site
<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.

agentmods 80×15 button for followup-plan

Your own site · 80×15
<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>
Per session 142 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,273 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 2d ago against content hash 0eca09a33afe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 1 executable file (base/scripts/followup_check.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

submissions/discharge-care-transition/followup-plan/SKILL.md · 69 lines

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

  1. Extract every follow-up appointment, pending result and referral from the encounter into followup_checklist[], keeping the order's source_note so the engine can match each order to its checklist item.
  2. Assign an owner drawn from config allowed_owners (patient, receiving clinician, care coordinator).
  3. Take the due date from the order and cite the order or result in source_note / documented_date.
  4. Run the followup_check engine tool (python3 base/scripts/followup_check.py --question <payload> --config config/followup-rules.json --out <payload>).
  5. 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.

Read the full file on GitHub · 69 lines

Files

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.

Changes

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.

  1. 2d ago First seen · 69 lines · 142 tokens per session scan A 0eca09a33afe

Subscribe to this mod's changes

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.

Related

followup-plan compared with skills from other repositories

followup-plan next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
followup-planmicrosoft/cat-agent-skillsSkill101yesterdayMITA142Claude Code, Codex
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79kyesterdayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill100kyesterdayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
systematic-debuggingobra/superpowersSkill314k4d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code