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/hannesill/m4/apache-iv-scorenpx skills add hannesill/m4 --skill apache-iv-scoregit clone --depth 1 https://github.com/hannesill/m4Wrote 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/hannesill/m4/apache-iv-score)<a href="https://agentmods.dev/skills/hannesill/m4/apache-iv-score"><img src="https://agentmods.dev/badge/skills/hannesill/m4/apache-iv-score.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 | $0.00065 | $0.02343 |
| Opus 5 | $0.00032 | $0.01171 |
| Sonnet 5 | $0.00013 | $0.00469 |
| Haiku 4.5 | $0.00006 | $0.00234 |
Grade A, and why
apache-iv-score 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
APACHE IV Score Calculation
APACHE IV predicts hospital mortality for ICU patients using acute physiology, age, chronic health conditions, and diagnosis. Published in 2006 with 110,558 patients from 104 U.S. ICUs. The model has excellent discrimination (AUC-ROC = 0.88) and calibration (Hosmer-Lemeshow p = .08).
When to Use This Skill
- User asks about APACHE IV score calculation
- Hospital mortality prediction for ICU patients
- ICU performance benchmarking (SMR calculation)
- Case-mix adjustment for quality comparison
- Severity stratification for research cohorts
Components and Explanatory Power
| Component | Explanatory Power | Description |
|---|---|---|
| Acute Physiology (APS) | 65.8% | 16 physiological variables (worst in first 24h) + GCS adjustment + PaO2/FiO2 |
| Diagnosis | 16.5% | 116 diagnostic categories + emergency surgery + thrombolytic therapy (AMI) |
| Age | 9.4% | Continuous with 5 spline terms (knots at 27, 51, 64, 74, 86 years) |
| Chronic Health | 5.0% | 7 conditions: AIDS, cirrhosis, hepatic failure, immunosuppression, lymphoma, leukemia/myeloma, metastatic cancer |
| Admission Variables | 2.9% | Admission source + prior length of stay (with spline terms) |
| Mechanical Ventilation | 0.6% | Binary flag for ventilation on ICU day 1 |
Acute Physiology Variables
| Variable | Units | Notes |
|---|---|---|
| Heart rate | bpm | Highest or lowest deviation from normal |
| Mean arterial pressure | mmHg | Lowest value |
| Temperature | °C | Highest or lowest deviation from normal |
| Respiratory rate | breaths/min | Highest or lowest deviation from normal |
| PaO2/FiO2 ratio | mmHg | Worst oxygenation (arterial specimens only) |
| Hematocrit | % | Lowest value |
| WBC | ×10³/μL | Highest or lowest deviation from normal |
| Creatinine | mg/dL | Highest value |
| Urine output | mL/24h | Total volume in first 24 hours |
| BUN | mg/dL | Highest value |
| Sodium | mEq/L | Highest or lowest deviation from normal |
| Albumin | g/dL | Lowest value |
| Bilirubin | mg/dL | Highest value |
| Glucose | mg/dL | Highest or lowest deviation from normal |
| pH | - | Lowest value (arterial specimens only) |
| Glasgow Coma Scale | 3-15 | Lowest value (use pre-sedation if sedated) |
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.
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 · 177 lines · 65 tokens per session scan A e8610f1fdcb5
apache-iv-score is a skill published in the GitHub repository hannesill/m4 (43 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 2,343 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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