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 mimic-sepsis3-rawgit 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/mimic-sepsis3-raw)<a href="https://agentmods.dev/skills/hannesill/m4/mimic-sepsis3-raw"><img src="https://agentmods.dev/badge/skills/hannesill/m4/mimic-sepsis3-raw/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/mimic-sepsis3-raw"><img src="https://agentmods.dev/badge/skills/hannesill/m4/mimic-sepsis3-raw.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 | $0.00000 | $0.00632 |
| Opus 5 | $0.00000 | $0.00316 |
| Sonnet 5 | $0.00000 | $0.00126 |
| Haiku 4.5 | $0.00000 | $0.00063 |
Grade A, and why
mimic-sepsis3-raw 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 11d 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.
This is a copy
100% identical to mimic-apsiii-24h-raw — 955 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Reference SQL (matched-content control)
The following block is the public reference SQL used to construct the ground truth for this task. It is provided verbatim, without procedural prose, to test whether matched task-relevant content alone explains the WITH-SKILL gain.
-- ------------------------------------------------------------------
-- Title: Sepsis-3 Cohort Identification
-- Identifies sepsis patients using the Sepsis-3 consensus definition:
-- SOFA score >= 2 coinciding with suspected infection within a
-- 48h-before to 24h-after time window.
-- ------------------------------------------------------------------
-- Reference:
-- Singer M et al. "The Third International Consensus Definitions
-- for Sepsis and Septic Shock (Sepsis-3)." JAMA. 2016;315(8):801-810.
-- Adapted from mimic-code sepsis3.sql
-- Returns one row per ICU stay (earliest matching infection event).
WITH sofa AS (
SELECT
stay_id,
starttime,
endtime,
respiration_24hours AS respiration,
coagulation_24hours AS coagulation,
liver_24hours AS liver,
cardiovascular_24hours AS cardiovascular,
cns_24hours AS cns,
renal_24hours AS renal,
sofa_24hours AS sofa_score
FROM mimiciv_derived.sofa
WHERE
sofa_24hours >= 2
), s1 AS (
SELECT
soi.subject_id,
soi.stay_id,
soi.ab_id,
soi.antibiotic,
soi.antibiotic_time,
soi.culture_time,
soi.suspected_infection,
soi.suspected_infection_time,
soi.specimen,
soi.positive_culture,
starttime,
endtime,
respiration,
coagulation,
liver,
cardiovascular,
cns,
renal,
sofa_score,
CAST(sofa_score >= 2 AND suspected_infection = 1 AS INTEGER) AS sepsis3,
ROW_NUMBER() OVER (PARTITION BY soi.stay_id ORDER BY suspected_infection_time NULLS FIRST, antibiotic_time NULLS FIRST, culture_time NULLS FIRST, endtime NULLS FIRST) AS rn_sus
FROM mimiciv_derived.suspicion_of_infection AS soi
INNER JOIN sofa
ON soi.stay_id = sofa.stay_id
AND sofa.endtime >= soi.suspected_infection_time - INTERVAL '48' HOUR
AND sofa.endtime <= soi.suspected_infection_time + INTERVAL '24' HOUR
WHERE
NOT soi.stay_id IS NULL
)
SELECT
subject_id,
stay_id,
antibiotic_time,
culture_time,
suspected_infection_time,
endtime AS sofa_time,
sofa_score,
respiration,
coagulation,
liver,
cardiovascular,
cns,
renal,
sepsis3
FROM s1
WHERE
rn_sus = 1
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.
- 11d ago First seen · 88 lines · 0 tokens per session scan A 2e0de3b60d36
mimic-sepsis3-raw is a skill published in the GitHub repository hannesill/m4 (43 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 632 tokens. A static security scan graded it A with 0 findings. It is 100% identical to mimic-apsiii-24h-raw, differing in 955 lines, and is treated as a copy.
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