first-icu-stay

first-icu-stay is a skill for Claude Code, Codex from hannesill/m4. It costs 34 tokens per session (1,308 once invoked), scanned A, original, MIT.

A data-selection helper for finding patients' first hospital admissions and first intensive-care stays. It uses precomputed MIMIC-IV fields describing admission order and ICU-stay order.

In plain words
What is it for?
Use it to build cohorts of first-time ICU patients, exclude readmissions, select independent observations, and match patients by admission characteristics.
Why use it?
It prevents repeated admissions from being treated as independent patients, which can distort cohort sizes and research results.

Skill for Claude CodeCodex

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

Good fit Use it to build cohorts of first-time ICU patients, exclude readmissions, select independent observations, and match patients by admission characteristics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hannesill/m4/first-icu-stay
View source ↗ hannesill/m4
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 hannesill/m4 --skill first-icu-stay
Clone the repo
git clone --depth 1 https://github.com/hannesill/m4

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 first-icu-stay

README.md
[![agentmods](https://agentmods.dev/badge/skills/hannesill/m4/first-icu-stay/github.svg)](https://agentmods.dev/skills/hannesill/m4/first-icu-stay)
Your own site
<a href="https://agentmods.dev/skills/hannesill/m4/first-icu-stay"><img src="https://agentmods.dev/badge/skills/hannesill/m4/first-icu-stay/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 first-icu-stay

Your own site · 80×15
<a href="https://agentmods.dev/skills/hannesill/m4/first-icu-stay"><img src="https://agentmods.dev/badge/skills/hannesill/m4/first-icu-stay.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,308 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00034 $0.01308
Opus 5 $0.00017 $0.00654
Sonnet 5 $0.00007 $0.00262
Haiku 4.5 $0.00003 $0.00131

Measured 12d ago against content hash 315ed224c1d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

first-icu-stay 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 12d 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.

src/m4/skills/clinical/first-icu-stay/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

First ICU Stay Selection

Identifies first ICU stays and hospital admissions for cohort construction. Critical for avoiding correlated observations and inflated sample sizes from readmissions.

When to Use This Skill

  • Creating research cohorts with independent observations
  • Excluding readmissions that may have different characteristics
  • Selecting incident (first-time) ICU patients
  • Matching cohorts by admission characteristics

Pre-computed Table

SELECT
    subject_id,
    hadm_id,
    stay_id,
    -- Demographics
    gender,
    dod,  -- Date of death (if applicable)
    -- Hospital admission
    admittime,
    dischtime,
    los_hospital,  -- Hospital length of stay (days)
    admission_age,
    race,
    hospital_expire_flag,
    hospstay_seq,       -- Hospital admission sequence number
    first_hosp_stay,    -- TRUE if first hospitalization
    -- ICU stay
    icu_intime,
    icu_outtime,
    los_icu,            -- ICU length of stay (days)
    icustay_seq,        -- ICU stay sequence within hospitalization
    first_icu_stay      -- TRUE if first ICU stay of this hospitalization
FROM mimiciv_derived.icustay_detail;

Key Columns Explained

Hospital-Level

  • hospstay_seq: Order of hospital admission for this patient (1 = first ever)
  • first_hosp_stay: TRUE if this is the patient's first hospital admission

ICU-Level (Within Hospitalization)

  • icustay_seq: Order of ICU stays within this hospitalization (1 = first ICU stay)
  • first_icu_stay: TRUE if this is the first ICU stay of the current hospitalization

Age Calculation

Age is calculated as:

anchor_age + (YEAR(admittime) - anchor_year)

Important: MIMIC-IV shifts ages for patients > 89 years old at any admission. These patients have anchor_age = 91 and ages are not exact.

Common Cohort Selection Patterns

First ICU Stay Only (Most Common)

SELECT *
FROM mimiciv_derived.icustay_detail
WHERE first_icu_stay = TRUE;

First-Ever ICU Stay (Strictest)

SELECT *
FROM mimiciv_derived.icustay_detail
WHERE first_hosp_stay = TRUE
    AND first_icu_stay = TRUE;

Read the full file on GitHub · 188 lines

Files

What ships with it

1 file 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. 12d ago First seen · 188 lines · 34 tokens per session scan A 315ed224c1d1

Subscribe to this mod's changes

first-icu-stay is a skill published in the GitHub repository hannesill/m4 (43 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 1,308 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.

Related

Other skills, from other repositories

autogpt-agents

Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.

davila7/claude-code-templates · 39 tokens

arbor-research-agent

Public entrypoint for the Arbor skill suite. Use when a user wants to run an Arbor-style autonomous research or optimization workflow from a natural-language goal, including initial clarification of objective, target project, data, metric, evaluation, permissions, budget, run mode, and then automatic bootstrapping…

RUC-NLPIR/Arbor · 74 tokens

arbor-agent-executor

Executor-dispatch phase for Arbor. Use when implementing an Idea Tree node through RunExecutor or RunExecutorParallel semantics: isolated git worktree, executor prompt construction, eval metadata injection, RunTraining policy, smoke/full evaluation, report parsing, artifact persistence, tree update, and insight…

RUC-NLPIR/Arbor · 63 tokens

arbor-agent-setup-intake

Setup, intake, preflight, and launch-contract phase for open-source Arbor runs. Use when confirming a target project, metric, baseline, dev/test split, config/plugin settings, branch guard, session directory, or when translating a user goal into the precise contract consumed by the coordinator.

RUC-NLPIR/Arbor · 65 tokens

arbor-agent-ideate

Strict IDEATE-stage skill for Arbor. Use immediately after TreeView(format="constraints") when drafting Idea Tree nodes, enforcing the ideadrafting and firstprinciplesprobe behavior, depth-aware idea levels, four-line TreeAddNode hypotheses, conflict checks, and self-filtering against shallow tweaks.

RUC-NLPIR/Arbor · 66 tokens

arbor-agent-merge-eval

Merge and evaluation discipline for Arbor. Use for TreeSetMeta metadata, Bdev/Btest separation, eval command templates, score parsing, GitMergeBranch behavior, protected paths, required outputs, metricdirection, trunk/test score updates, medal detection, and final evaluation before stopping.

RUC-NLPIR/Arbor · 63 tokens