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 hannesill/m4 --skill baseline-creatininegit 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/baseline-creatinine)<a href="https://agentmods.dev/skills/hannesill/m4/baseline-creatinine"><img src="https://agentmods.dev/badge/skills/hannesill/m4/baseline-creatinine/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/hannesill/m4/baseline-creatinine"><img src="https://agentmods.dev/badge/skills/hannesill/m4/baseline-creatinine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.00808 |
| Opus 5 | $0.00015 | $0.00404 |
| Sonnet 5 | $0.00006 | $0.00162 |
| Haiku 4.5 | $0.00003 | $0.00081 |
Grade A, and why
baseline-creatinine 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 9d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Baseline Creatinine Estimation
Estimates the patient's baseline (pre-illness) serum creatinine, which is critical for accurate AKI staging. The true baseline is often unknown; this query uses a hierarchical approach.
M4Bench Use
In M4Bench, target concept tables listed in the task configuration are removed or unavailable in the agent database. Use this skill as procedural guidance and derive the requested output from available source or intermediate tables; do not rely on a precomputed target table or bundled SQL script.
When to Use This Skill
- KDIGO AKI staging (requires baseline comparison)
- AKI research cohorts
- Chronic kidney disease identification
- Renal function trajectory analysis
Baseline Determination Rules
The baseline creatinine is determined hierarchically:
- If lowest admission creatinine <= 1.1 mg/dL: Use the lowest value (assumed normal)
- If patient has CKD diagnosis: Use the lowest admission value (even if elevated)
- Otherwise: Estimate baseline using MDRD equation assuming GFR = 75 mL/min/1.73m^2
MDRD Estimation Formula
For patients without normal creatinine and without CKD, baseline is estimated:
Male patients:
scr_baseline = (75 / 186 / age^(-0.203))^(-1/1.154)
Female patients:
scr_baseline = (75 / 186 / age^(-0.203) / 0.742)^(-1/1.154)
This back-calculates creatinine assuming eGFR = 75 mL/min/1.73m^2 (lower limit of normal).
CKD Identification
CKD is identified from ICD codes:
- ICD-9: 585 (Chronic kidney disease)
- ICD-10: N18 (Chronic kidney disease)
Critical Implementation Notes
-
Adults Only: Query filters to age >= 18 (pediatric creatinine norms differ).
-
MDRD Limitations:
- Less accurate in elderly, extremes of body size, or certain ethnicities
- Assumes GFR = 75, which may underestimate for young healthy patients
-
Admission Bias: Using admission creatinine as baseline may underestimate for patients admitted already in AKI (AKI-on-admission).
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.
- 9d ago First seen · 81 lines · 31 tokens per session scan A e591c3ef29de
baseline-creatinine is a skill published in the GitHub repository hannesill/m4 (43 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 808 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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