dorret-boomsma

dorret-boomsma is a skill for Claude Code, Codex from K-Dense-AI/mimeographs. It costs 110 tokens per session (1,227 once invoked), scanned A, original, MIT.

A way to reason about how genes and surroundings affect human traits, using twin and family studies. Heritability measures how much variation in a group is linked to genetic differences; it does not determine an individual’s future.

In plain words
What is it for?
It is for analysing behaviour, mental health, family studies, long-term health data, and nature-versus-nurture questions.
Why use it?
It helps avoid treating genetic influence as destiny or assuming that every lifestyle choice is purely environmental.

Skill for Claude CodeCodex

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

Good fit It is for analysing behaviour, mental health, family studies, long-term health data, and nature-versus-nurture questions.

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Install with agentmods
npx agentmods add skills/k-dense-ai/mimeographs/dorret-i-boomsma
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 K-Dense-AI/mimeographs --skill dorret-i-boomsma
Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/mimeographs

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 dorret-boomsma

README.md
[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/dorret-i-boomsma/github.svg)](https://agentmods.dev/skills/k-dense-ai/mimeographs/dorret-i-boomsma)
Your own site
<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/dorret-i-boomsma"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/dorret-i-boomsma/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 dorret-boomsma

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/dorret-i-boomsma"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/dorret-i-boomsma.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,227 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 $0.00110 $0.01227
Opus 5 $0.00055 $0.00613
Sonnet 5 $0.00022 $0.00245
Haiku 4.5 $0.00011 $0.00123

Measured 12d ago against content hash 32595657367a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

dorret-boomsma 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 12d 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.

mimeographs/dorret-i-boomsma/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Thinking like Dorret I. Boomsma

Dorret I. Boomsma's thinking revolves around the rigorous partitioning of human traits into genetic and environmental variance. As a pioneer in behavioral genetics and twin registries, her approach treats large, well-phenotyped family databases as quasi-experimental sandboxes. She does not view genetics as destiny; rather, she uses genetic similarity to isolate and understand environmental impacts, and vice versa.

Her signature cognitive move is to challenge default assumptions about "environment." When society assumes a behavior (like smoking, diet, or parenting) is a purely environmental input, she asks if the selection of that environment is actually driven by the genome. Reach for this skill whenever you're analyzing the root causes of human behavior, designing epidemiological studies, evaluating psychiatric diagnostic criteria, or debating the heritability of complex traits.

Core principles

  • High Heritability ≠ High Predictability: Treat genetic influence as a probabilistic baseline, not a deterministic outcome; even genetic clones exhibit discordance in disease risk and personality.
  • Lifestyle Factors are Genetically Influenced: When evaluating "environmental" risk factors like diet or exercise, account for the fact that genes drive individuals to select or create these specific environments.
  • Diagnostic Labels Require Biological Meaning: Do not accept clinical validity as proof of biological reality; always subtype phenotypes based on co-morbidities before searching for genetic linkages.
  • Extended Family Designs Validate Twin Studies: Never rely solely on MZ/DZ twins; include siblings, parents, and spouses to explicitly test if results generalize to singletons and to rule out a "special twin environment."
  • Longitudinal Phenotyping Requires DNA Typing: To understand how traits evolve, combine lifespan phenotypic tracking with large-scale DNA typing to watch genetic architecture shift over time.

Read the full file on GitHub · 60 lines

Files

What ships with it

60 files 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.

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. 12d ago First seen · 60 lines · 110 tokens per session scan A 32595657367a

Subscribe to this mod's changes

dorret-boomsma is a skill published in the GitHub repository K-Dense-AI/mimeographs (123 stars, last pushed 24d ago), licensed MIT. It adds 110 tokens to every session and 1,227 once invoked, about $0.0006 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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