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-sirs-24h-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-sirs-24h-raw)<a href="https://agentmods.dev/skills/hannesill/m4/mimic-sirs-24h-raw"><img src="https://agentmods.dev/badge/skills/hannesill/m4/mimic-sirs-24h-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-sirs-24h-raw"><img src="https://agentmods.dev/badge/skills/hannesill/m4/mimic-sirs-24h-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 | $0.01092 |
| Opus 5 | $0.00000 | $0.00546 |
| Sonnet 5 | $0.00000 | $0.00218 |
| Haiku 4.5 | $0.00000 | $0.00109 |
Grade A, and why
mimic-sirs-24h-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 — 985 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.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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: Systemic inflammatory response syndrome (SIRS) criteria
-- This query extracts the Systemic inflammatory response syndrome
-- (SIRS) criteria. The criteria quantify the level of inflammatory
-- response of the body. The score is calculated on the first day
-- of each ICU patients' stay.
-- ------------------------------------------------------------------
-- Reference for SIRS:
-- American College of Chest Physicians/Society of Critical Care
-- Medicine Consensus Conference: definitions for sepsis and organ
-- failure and guidelines for the use of innovative therapies in
-- sepsis". Crit. Care Med. 20 (6): 864–74. 1992.
-- doi:10.1097/00003246-199206000-00025. PMID 1597042.
-- Variables used in SIRS:
-- Body temperature (min and max)
-- Heart rate (max)
-- Respiratory rate (max)
-- PaCO2 (min)
-- White blood cell count (min and max)
-- the presence of greater than 10% immature neutrophils (band forms)
-- Note:
-- The score is calculated for *all* ICU patients, with the assumption
-- that the user will subselect appropriate stay_ids.
-- Aggregate the components for the score
WITH scorecomp AS (
SELECT ie.stay_id
, v.temperature_min
, v.temperature_max
, v.heart_rate_max
, v.resp_rate_max
, bg.pco2_min AS paco2_min
, l.wbc_min
, l.wbc_max
, l.bands_max
FROM mimiciv_icu.icustays ie
LEFT JOIN mimiciv_derived.first_day_bg_art bg
ON ie.stay_id = bg.stay_id
LEFT JOIN mimiciv_derived.first_day_vitalsign v
ON ie.stay_id = v.stay_id
LEFT JOIN mimiciv_derived.first_day_lab l
ON ie.stay_id = l.stay_id
)
, scorecalc AS (
-- Calculate the final score
-- note that if the underlying data is missing, the component is null
-- eventually these are treated as 0 (normal), but knowing when
-- data is missing is useful for debugging
SELECT stay_id
, CASE
WHEN temperature_min < 36.0 THEN 1
WHEN temperature_max > 38.0 THEN 1
WHEN temperature_min IS NULL THEN null
ELSE 0
END AS temp_score
, CASE
WHEN heart_rate_max > 90.0 THEN 1
WHEN heart_rate_max IS NULL THEN null
ELSE 0
END AS heart_rate_score
, CASE
WHEN resp_rate_max > 20.0 THEN 1
WHEN paco2_min < 32.0 THEN 1
WHEN COALESCE(resp_rate_max, paco2_min) IS NULL THEN null
ELSE 0
END AS resp_score
, CASE
WHEN wbc_min < 4.0 THEN 1
WHEN wbc_max > 12.0 THEN 1
WHEN bands_max > 10 THEN 1-- > 10% immature neurophils (band forms)
WHEN COALESCE(wbc_min, bands_max) IS NULL THEN null
ELSE 0
END AS wbc_score
FROM scorecomp
)
SELECT
ie.subject_id, ie.hadm_id, ie.stay_id
-- Combine all the scores to get SIRS
-- Impute 0 if the score is missing
, COALESCE(temp_score, 0)
+ COALESCE(heart_rate_score, 0)
+ COALESCE(resp_score, 0)
+ COALESCE(wbc_score, 0)
AS sirs
-- DEVIATION from mimic-code: COALESCE component scores to 0.
-- The original SQL leaves them NULL when underlying data is missing.
-- We impute 0 here so the ground truth matches the task instruction
-- ("treat missing data as normal, score 0") and agents are not
-- penalised for following the instruction. The NULL→0 semantics are
-- already applied to the sirs total above; this extends it to the
-- individual components for consistency.
, COALESCE(temp_score, 0) AS temp_score
, COALESCE(heart_rate_score, 0) AS heart_rate_score
, COALESCE(resp_score, 0) AS resp_score
, COALESCE(wbc_score, 0) AS wbc_score
FROM mimiciv_icu.icustays ie
LEFT JOIN scorecalc s
ON ie.stay_id = s.stay_id
;
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 · 120 lines · 0 tokens per session scan A 16d8774ac690
mimic-sirs-24h-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 1,092 tokens. A static security scan graded it A with 0 findings. It is 100% identical to mimic-apsiii-24h-raw, differing in 985 lines, and is treated as a copy.
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