clinical-research-pitfalls

clinical-research-pitfalls is a skill for Claude Code, Codex from hannesill/m4. It costs 35 tokens per session (1,689 once invoked), scanned A, original, MIT.

A guide to avoiding common mistakes when studying intensive-care records and other electronic health records. It covers problems such as immortal time bias, information leakage, and selection bias.

In plain words
What is it for?
Use it when designing a study, reviewing an analysis plan, investigating surprising results, or checking the methods of a clinical-research paper.
Why use it?
These mistakes can make a study appear to find an effect that is caused by the way the data or time periods were chosen.

Skill for Claude CodeCodex

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

Good fit Use it when designing a study, reviewing an analysis plan, investigating surprising results, or checking the methods of a clinical-research paper.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hannesill/m4/clinical-research-pitfalls
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 clinical-research-pitfalls
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 clinical-research-pitfalls

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

Your own site · 80×15
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Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,689 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 $0.00035 $0.01689
Opus 5 $0.00017 $0.00844
Sonnet 5 $0.00007 $0.00338
Haiku 4.5 $0.00003 $0.00169

Measured 11d ago against content hash c14e9128b5d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

clinical-research-pitfalls 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.

src/m4/skills/clinical/clinical-research-pitfalls/SKILL.md · 237 lines

How it starts

The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clinical Research Pitfalls

This skill documents common methodological mistakes in ICU database research and how to avoid them. These errors can invalidate study conclusions.

When to Use This Skill

  • Designing research studies
  • Reviewing analysis plans
  • Debugging unexpected results
  • Peer review of methods

1. Immortal Time Bias

Definition

Time during which the outcome cannot occur, often because the exposure has not yet been assigned or identified.

Common Mistake

-- WRONG: Patients who "received Drug X during ICU stay"
-- Survival bias: Must survive long enough to receive the drug
SELECT stay_id
FROM mimiciv_derived.antibiotic
WHERE antibiotic LIKE '%vancomycin%';

Correct Approach

-- CORRECT: Define exposure at a fixed time point (e.g., first 24h)
SELECT DISTINCT stay_id
FROM mimiciv_derived.antibiotic ab
INNER JOIN mimiciv_icu.icustays ie ON ab.stay_id = ie.stay_id
WHERE ab.starttime <= DATETIME_ADD(ie.intime, INTERVAL 24 HOUR);

Key Principle

  • Define exposure status at a fixed time point (e.g., ICU admission, 24 hours, 48 hours)
  • Time zero should be the same for exposed and unexposed groups
  • Consider landmark analysis or time-varying covariates

2. Information Leakage (Future Data)

Definition

Using information that would not be available at the time of prediction/decision.

Common Mistake

-- WRONG: Using diagnosis codes for prediction at admission
-- ICD codes are assigned at discharge!
SELECT hadm_id, icd_code
FROM mimiciv_hosp.diagnoses_icd
WHERE icd_code LIKE 'I21%';  -- MI diagnosis

Correct Approach

-- CORRECT: Use chief complaint or admission diagnosis
-- Or clearly acknowledge this is retrospective phenotyping
SELECT hadm_id
FROM mimiciv_hosp.admissions
WHERE LOWER(admission_type) LIKE '%emergency%';

Common Sources of Leakage

  • Diagnosis codes: Assigned at discharge
  • Procedure codes: May be coded after completion
  • Length of stay: Only known at discharge
  • Discharge disposition: Future information
  • Labs ordered later: Not available at admission

Read the full file on GitHub · 237 lines

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. 11d ago First seen · 237 lines · 35 tokens per session scan A c14e9128b5d4

Subscribe to this mod's changes

clinical-research-pitfalls is a skill published in the GitHub repository hannesill/m4 (43 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 1,689 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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