New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Albert Hofman

by K-Dense-AI in K-Dense-AI/mimeographs

Applies the epidemiological reasoning and population-health frameworks of Albert Hofman (Harvard epidemiologist, Rotterdam Study).

MITAuto-check passedResearch & Science

Install Albert Hofman

skills CLI
$ npx skills add K-Dense-AI/mimeographs --skill albert-hofman -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install K-Dense-AI/mimeographs albert-hofman --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mimeographs/albert-hofman .claude/skills/albert-hofman && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
albert-hofman
GitHub stars
129
Token cost
~1.4k tokens
SKILL.md length
671 words
Files
72 (incl. references)
Skills in repo
60
Repo updated
First seen
Licence
MIT

At a glance

Applies the epidemiological reasoning and population-health frameworks of Albert Hofman (Harvard epidemiologist, Rotterdam Study).

  • This skill whenever you are analyzing public health strategies
  • SKILL.md covers Core principles, How Albert Hofman reasons, Applying the frameworks and Anti-patterns he pushes against, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Preventive medicine

What it does

Albert Hofman is an agent skill from K-Dense-AI/mimeographs. Applies the epidemiological reasoning and population-health frameworks of Albert Hofman (Harvard epidemiologist, Rotterdam Study). Trigger this skill whenever you are analyzing public health strategies, preventive medicine, cohort study design, cardiovascular or neurodegenerative disease risks, or healthy aging. Use it when evaluating whether to use population-wide interventions versus individual screening, assessing risk factors in elderly populations, or tracing adult chronic diseases back to early-life or…

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 74 other files, including reference files (for example `AGENTS.md`, `_workspace/agents_output.e584bd6c.json` and `_workspace/clustered_corpus.e584bd6c.json`).

It sits in Research & Science, covering Experimental design. The repository describes itself as: Ready-to-use agent skills that clone the thinking of founders, philosophers, and scientists into your agent. Generated with K-Dense-AI/mimeo. The licence is MIT.

When your agent uses it

  • This skill whenever you are analyzing public health strategies
  • Preventive medicine
  • Cohort study design
  • Neurodegenerative disease risks

Example prompts

  • “Use the albert-hofman skill to apply the epidemiological reasoning and population-health frameworks of Albert Hofman (Harvard epidemiologist…”
  • “/albert-hofman”

What it can do on your machine

Read from SKILL.md and the folder at commit a38f5fc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Albert Hofman loads about 1.4k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 136 tokens; SKILL.md has 671 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~136
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from K-Dense-AI/mimeographs at commit a38f5fc, republished under its MIT licence (© K-Dense-AI). 671 words, ~1,430 tokens.

Download SKILL.mdSave it as .claude/skills/albert-hofman/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.
name
albert-hofman
description
Applies the epidemiological reasoning and population-health frameworks of Albert Hofman (Harvard epidemiologist, Rotterdam Study). Trigger this skill whenever you are analyzing public health strategies, preventive medicine, cohort study design, cardiovascular or neurodegenerative disease risks, or healthy aging. Use it when evaluating whether to use population-wide interventions versus individual screening, assessing risk factors in elderly populations, or tracing adult chronic diseases back to early-life or fetal origins.

Thinking like Albert Hofman

Albert Hofman is a pioneering clinical epidemiologist known for architecting massive, decades-long population cohorts like the Rotterdam Study. His signature thinking shifts the focus of chronic disease from late-stage, individual clinical treatment to lifelong, population-level prevention. He views aging not as a decline that begins in the elderly, but as a lifelong process whose foundations are laid in childhood and even in utero.

Reach for this skill whenever you are designing public health interventions, evaluating the predictive power of medical screenings, or analyzing the trajectory of cardiovascular and neurodegenerative diseases.

Core principles

  • Life-Course Approach to Healthy Ageing: Healthy ageing research and interventions must include younger populations and start in childhood, because the ageing process begins much earlier than old age.
  • Population-Level Interventions Over Individual Screening: For early-life risk factors, shifting the overall risk distribution through environmental modifications is more effective than individual screening, because physiological metrics only track moderately over time.
  • Prevention of Neurological Diseases in the Elderly: Cognitive decline and related conditions are not strictly inevitable; there is great potential to prevent or postpone them.
  • Age-Adjusted Predictive Power of Risk Factors: Traditional cardiovascular risk factors weaken in elderly populations, necessitating supplementary diagnostic methods like coronary calcification scoring.
  • Interplay of Vascular, Genetic, and Aging Factors: Multifactorial chronic diseases must be understood holistically, as seemingly unrelated conditions often share underlying pathways.

For detailed rationale and quotes, see references/principles.md.

How Albert Hofman reasons

Hofman reasons in distributions and decades. When evaluating a health risk, he first asks about its Tracking (Distribution Stability)—whether an individual's relative position within a population remains stable over time. If a metric like childhood blood pressure only tracks moderately, he dismisses individual screening in favor of population-wide environmental changes.

He emphasizes the Developmental Origins of Health and Disease, looking for the roots of late-life chronic illnesses in early-life and prenatal environments. He strongly dismisses "preventive nihilism"—the assumption that diseases of old age are inevitable. Instead, he relies on massive longitudinal data to uncover hidden Multifactorial Disease Pathways connecting vascular health, genetics, and neurodegeneration.

For a deeper dive into these models, see references/mental-models.md.

Applying the frameworks

Five Core Dimensions of Child Health

Use this when defining baseline health metrics for long-term epidemiological studies or pediatric public health policies. Instead of defining health merely as the absence of disease, measure across five dimensions: 1) Absence of physical disease; 2) Absence of psychiatric disorders; 3) Optimal physical, mental, and social functioning; 4) Good quality of life; 5) Adequate resilience. See references/frameworks.md for details.

Show full SKILL.md (255 more words)Show less

Anti-patterns he pushes against

  • Preventive Nihilism in Aging: Accepting neurological diseases and cognitive decline as inevitable consequences of aging prevents the implementation of effective public health interventions.
  • Over-relying on Early Individual Screening: Attempting to detect future adult diseases (like hypertension) solely by screening children individually is inefficient because many outliers naturally regress to the mean over time.
  • Exclusive Focus on the Elderly for Ageing Research: Ignoring the childhood window where the foundation for future healthy ageing is actually laid.
  • Strict Reliance on Traditional Risk Factors in Old Age: Failing to supplement standard cardiovascular risk factors with measures like coronary calcification, even though traditional factors lose predictive power as populations age.

How to use this skill in conversation

When the user is analyzing public health policies, cohort study designs, or preventive medicine strategies, channel Hofman's population-level, life-course perspective.

  • If the user proposes screening children to prevent adult disease, introduce the concept of "Tracking" and suggest population-level environmental modifications instead.
  • If the user is assessing cardiovascular risk in the elderly, advise them to supplement traditional risk factors with independent predictors like coronary calcification.
  • If the user assumes dementia or cognitive decline is inevitable, push back against "preventive nihilism" and highlight the vascular and genetic pathways that can be targeted for prevention.

Always surface the relevant principle or mental model by name and apply it directly to the user's context (e.g., "Applying Albert Hofman's life-course approach to healthy ageing, we should look at..."). Do not pretend to be Hofman; act as an analytical assistant applying his epidemiological frameworks.

© K-Dense-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 71 other files (references) in mimeographs/albert-hofman of K-Dense-AI/mimeographs.

  • SKILL.md
  • AGENTS.md
  • _workspace/agents_output.e584bd6c.json
  • _workspace/clustered_corpus.e584bd6c.json
  • _workspace/discovery/books.json
  • _workspace/discovery/essays.json
  • _workspace/discovery/frameworks.json
  • _workspace/discovery/interviews.json
  • _workspace/discovery/letters.json
  • _workspace/discovery/papers.json
  • _workspace/discovery/podcasts.json
  • _workspace/discovery/ranked_sources.e584bd6c.json
  • _workspace/discovery/talks.json
  • _workspace/distilled/src_000.e584bd6c.json
  • _workspace/distilled/src_001.e584bd6c.json
  • _workspace/distilled/src_002.e584bd6c.json
  • _workspace/distilled/src_003.e584bd6c.json
  • _workspace/distilled/src_004.e584bd6c.json
  • … and 54 more

Open the folder on GitHubat commit a38f5fc

Compare with similar skills

Albert Hofman next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Albert Hofman compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Albert Hofman this skillK-Dense-AI/mimeographs129—~1.4kAutomated safety check: PassMIT
Scientific Critical Thinkingweapp-tailwindcss/weapp-tailwindcss1.9k22 repos~5.9kAutomated safety check: NotesMIT
Benchmark Paper TemplateHKUSTDial/Supervisor-Skills8.8k—~2.8kAutomated safety check: PassCC-BY-4.0
Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine1286 repos~2.3kAutomated safety check: NotesNone
Research Refine PipelinezjYao36/Auto-Research-Refine1285 repos~1.4kAutomated safety check: NotesNone
Metabolic Study Planneraiming-lab/AutoResearchClaw15k—~1.9kAutomated safety check: PassMIT

Similar skills

  • Scientific Critical Thinking

    weapp-tailwindcss/weapp-tailwindcss

    Evaluate research rigor. An agent skill from weapp-tailwindcss/weapp-tailwindcss.

    1.9k GitHub starsUsed in 22 repos~5.9k tokens
    Research & ScienceAuto-check: notes

  • Benchmark Paper Template

    HKUSTDial/Supervisor-Skills

    Structures benchmark and evaluation papers around five pillars, with a completeness audit, an Introduction logic chain, a section skeleton and a pre-submission checklist.

    8.8k GitHub stars~2.8k tokensUpdated 1 mo ago
    Research & ScienceAuto-check passed

  • Claim-Driven Experiment Planner

    zjYao36/Auto-Research-Refine

    Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.

    128 GitHub starsUsed in 6 repos~2.3k tokens
    Research & ScienceAuto-check: notes

  • Research Refine Pipeline

    zjYao36/Auto-Research-Refine

    Chains research-refine and experiment-plan to turn a vague research direction into a focused proposal and a claim-driven experiment roadmap.

    128 GitHub starsUsed in 5 repos~1.4k tokens
    Research & ScienceAuto-check: notes

  • Metabolic Study Planner

    aiming-lab/AutoResearchClaw

    Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.

    15k GitHub stars~1.9k tokensUpdated 1 mo ago
    Research & ScienceAuto-check passed

  • Analytical Method Validation Planner

    K-Dense-AI/scientific-agent-skills

    Plans, runs, and documents analytical method validation, verification, or transfer studies under ICH Q2(R2)/Q14, USP, ICH M10, CLSI EP, or ISO/IEC 17025.

    48k GitHub starsUsed in 1 repo~4.9k tokens
    Research & ScienceAuto-check: notes

More from K-Dense-AI/mimeographs

All 60 skills in this repo

  • Andrew Carnegie

    K-Dense-AI/mimeographs

    Applies the strategic, philanthropic, and operational frameworks of Andrew Carnegie, founder of Carnegie Steel.

    129 GitHub stars~1.5k tokensUpdated 1 mo ago
    Auto-check passed

  • Anne Wojcicki

    K-Dense-AI/mimeographs

    Applies the strategic frameworks and mental models of Anne Wojcicki, co-founder and CEO of 23andMe.

    129 GitHub stars~1.5k tokensUpdated 1 mo ago
    Auto-check passed

  • Aristotle

    K-Dense-AI/mimeographs

    Applies the frameworks of Aristotle (ancient Greek philosopher, logic, ethics, metaphysics, 384-322 BCE) to decision-making, ethics, and analysis.

    129 GitHub stars~1.6k tokensUpdated 1 mo ago
    Auto-check passed

  • Aviv Regev

    K-Dense-AI/mimeographs

    Applies the computational biology and AI-driven reasoning of Aviv Regev (computational biologist, Genentech, single-cell genomics).

    129 GitHub stars~1.4k tokensUpdated 1 mo ago
    Auto-check passed

  • Bill Gates

    K-Dense-AI/mimeographs

    Apply the mental models of Bill Gates, co-founder of Microsoft and philanthropist.

    129 GitHub stars~1.5k tokensUpdated 1 mo ago
    Auto-check passed

  • Confucius

    K-Dense-AI/mimeographs

    Applies the philosophical frameworks of Confucius (ancient Chinese philosopher, 551-479 BCE) to modern problems.

    129 GitHub stars~1.4k tokensUpdated 1 mo ago
    Auto-check passed

Categories

Questions about Albert Hofman

What does Albert Hofman do?

Applies the epidemiological reasoning and population-health frameworks of Albert Hofman (Harvard epidemiologist, Rotterdam Study). Albert Hofman is an agent skill from K-Dense-AI/mimeographs. Applies the epidemiological reasoning and population-health frameworks of Albert Hofman (Harvard epidemiologist, Rotterdam Study).

When should I use Albert Hofman?

Albert Hofman fits situations like: this skill whenever you are analyzing public health strategies; preventive medicine; cohort study design; neurodegenerative disease risks.

How do I install Albert Hofman in Claude Code?

Run `npx skills add K-Dense-AI/mimeographs --skill albert-hofman -a claude-code`. Or copy the skill folder (mimeographs/albert-hofman in K-Dense-AI/mimeographs) into .claude/skills/albert-hofman in your project. Claude Code loads it when a task matches its description.

How do I install Albert Hofman in Codex?

Run `npx skills add K-Dense-AI/mimeographs --skill albert-hofman -a codex`. Or copy the skill folder (mimeographs/albert-hofman in K-Dense-AI/mimeographs) into .agents/skills/albert-hofman in your project. Codex loads it when a task matches its description.

Can I use Albert Hofman in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add K-Dense-AI/mimeographs --skill albert-hofman -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/albert-hofman, .gemini/skills/albert-hofman, .github/skills/albert-hofman and .opencode/skills/albert-hofman in your project.

What does Albert Hofman need to run?

SKILL.md names no scripts, command-line tools or credentials: Albert Hofman is instructions for the agent only.

Does Albert Hofman access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Albert Hofman safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Albert Hofman use?

Albert Hofman is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Albert Hofman use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3k tokens, read only when the agent opens those files.

What are the alternatives to Albert Hofman?

Skills that share tags, products or a category with Albert Hofman: Scientific Critical Thinking (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Benchmark Paper Template (HKUSTDial/Supervisor-Skills, 8.8k stars), Claim-Driven Experiment Planner (zjYao36/Auto-Research-Refine, 128 stars) and Research Refine Pipeline (zjYao36/Auto-Research-Refine, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Albert Hofman?

K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/mimeographs, which has 129 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on August 18, 2026.

Source: K-Dense-AI/mimeographs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.