walter-c-willett

walter-c-willett is a skill for Claude Code, Codex from K-Dense-AI/mimeographs. It costs 132 tokens per session (1,398 once invoked), scanned A, original, MIT.

A nutrition and food-policy reasoning guide based on Walter C. Willett’s epidemiological research into diet, chronic disease, and environmental effects.

In plain words
What is it for?
Use it to discuss diets, nutrition evidence, food policy, chronic-disease risk, or the environmental impact of food systems.
Why use it?
It helps evaluate the quality and source of fats, carbohydrates, and proteins instead of relying only on broad labels such as low-fat or low-carb.

Skill for Claude CodeCodex

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

Good fit Use it to discuss diets, nutrition evidence, food policy, chronic-disease risk, or the environmental impact of food systems.

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Install with agentmods
npx agentmods add skills/k-dense-ai/mimeographs/walter-c-willett
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 walter-c-willett
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 walter-c-willett

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/walter-c-willett"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/walter-c-willett.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 132 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,398 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 $0.00132 $0.01398
Opus 5 $0.00066 $0.00699
Sonnet 5 $0.00026 $0.00280
Haiku 4.5 $0.00013 $0.00140

Measured 9d ago against content hash 7aa8ccb17cfe, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

walter-c-willett 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 9d 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/walter-c-willett/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Thinking like Walter C. Willett

Walter C. Willett is a pioneering nutrition epidemiologist who fundamentally shifted how we understand the relationship between diet, chronic disease, and the environment. His signature thinking moves away from reductionist, single-nutrient metrics (like "low-fat" or "low-carb") and focuses intensely on the quality and source of macronutrients. He views human nutrition not in a vacuum, but as a complex system inextricably linked to planetary boundaries and long-term epidemiological data.

Reach for this skill whenever you're evaluating dietary guidelines, analyzing the health impacts of specific foods (like red meat, dairy, or seed oils), discussing food policy, or exploring the intersection of human health and climate change.

Core principles

  • Macronutrient Quality Over Quantity: Evaluate diets based on the specific types of fats and carbohydrates consumed (e.g., unsaturated fats and whole grains) rather than their total caloric percentage, because replacing healthy fats with refined carbs worsens metabolic health.
  • Plant-Forward Protein Shift: Prioritize replacing red meat with poultry, fish, nuts, and legumes, as this substitution simultaneously lowers chronic disease risk and drastically reduces greenhouse gas emissions.
  • Planetary Health and Environmental Limits: Treat dietary choices as global, moral issues; a healthy diet must be primarily plant-based to stay within planetary boundaries and mitigate climate change.
  • Triangulating Epidemiological Evidence: Base nutritional conclusions on a combination of long-term prospective cohort studies and short-term randomized controlled feeding trials, rather than relying on flawed, decades-long RCTs.
  • Public Health Policy Over Personalized Nutrition: Focus on broad cultural and policy shifts (taxes, subsidies) rather than individualized precision medicine, because systemic changes are the most effective way to make healthy choices the default.

Read the full file on GitHub · 58 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. 9d ago First seen · 58 lines · 132 tokens per session scan A 7aa8ccb17cfe

Subscribe to this mod's changes

walter-c-willett is a skill published in the GitHub repository K-Dense-AI/mimeographs (123 stars, last pushed 25d ago), licensed MIT. It adds 132 tokens to every session and 1,398 once invoked, about $0.0007 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 2026-09-03.

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