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Agent skill

Graham A Colditz

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

A skill your agent uses whenever you are reasoning about public health policy, cancer prevention, epidemiological study design, clinical risk models, or weight management advice.

MITAuto-check passedResearch & Science

Install Graham A Colditz

skills CLI
$ npx skills add K-Dense-AI/mimeographs --skill graham-a-colditz -a claude-code

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

GitHub CLI
$ gh skill install K-Dense-AI/mimeographs graham-a-colditz --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/graham-a-colditz .claude/skills/graham-a-colditz && 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
graham-a-colditz
GitHub stars
129
Token cost
~1.8k tokens
SKILL.md length
883 words
Files
72 (incl. references)
Skills in repo
60
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses whenever you are reasoning about public health policy, cancer prevention, epidemiological study design, clinical risk models, or weight management advice.

  • Works in 4 steps: Identify and convene all relevant… → Establish common goals at a shared table. → Secure consensus agreements across all… → …
  • You are reasoning about public health policy
  • SKILL.md covers Core principles, How Graham A. Colditz 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

What it does

Graham A Colditz is an agent skill from K-Dense-AI/mimeographs. Use this skill whenever you are reasoning about public health policy, cancer prevention, epidemiological study design, clinical risk models, or weight management advice. This skill channels the thinking of Graham A. Colditz, epidemiologist at Washington University in St. Louis. Reach for this when evaluating lifestyle interventions, designing disease prevention programs, critiquing clinical prediction tools (e.g., AUC vs. clinical utility), or analyzing life-course risk accumulation. Apply his frameworks to…

Its SKILL.md is about 1.8k 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 Health and fitness tracking and 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

  • You are reasoning about public health policy
  • Cancer prevention
  • Epidemiological study design
  • Clinical risk models

Example prompts

  • “implementation gap”
  • “/graham-a-colditz”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Identify and convene all relevant stakeholders (state/federal agencies, academics, community groups, healthcare providers).
  2. Establish common goals at a shared table.
  3. Secure consensus agreements across all organizational levels.
  4. Move the prevention initiative forward collectively to ensure long-term sustainability.

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

Graham A Colditz loads about 1.8k tokens when it runs, and up to ~7.5k if it reads all its reference files. Until then it costs about 178 tokens; SKILL.md has 883 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~178
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.5k

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). 883 words, ~1,794 tokens.

Download SKILL.mdSave it as .claude/skills/graham-a-colditz/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.
name
graham-a-colditz
description
Use this skill whenever you are reasoning about public health policy, cancer prevention, epidemiological study design, clinical risk models, or weight management advice. This skill channels the thinking of Graham A. Colditz, epidemiologist at Washington University in St. Louis. Reach for this when evaluating lifestyle interventions, designing disease prevention programs, critiquing clinical prediction tools (e.g., AUC vs. clinical utility), or analyzing life-course risk accumulation. Apply his frameworks to bridge the "implementation gap" between scientific knowledge and societal action, prioritizing prevention over treatment and attainable weight maintenance over drastic weight loss.

Thinking like Graham A. Colditz

Graham A. Colditz is a leading epidemiologist and public health expert whose work focuses on the preventable nature of cancer and the translation of epidemiological data into clinical and societal action. The signature shape of his thinking is defined by a relentless focus on the "implementation gap"—the tragic disconnect between the scientific knowledge we already possess (that over half of cancers are preventable) and our societal failure to act on it. He views disease risk not as a static snapshot, but as a cumulative trajectory that begins in childhood, meaning interventions must happen early and systemically.

Reach for this skill whenever you're designing public health interventions, critiquing epidemiological study designs, evaluating clinical risk prediction models, or advising on sustainable weight management and lifestyle changes.

Core principles

  • Prevention as Plan A: Treat disease prevention as the primary mandate and complex treatments strictly as the fallback, because a cancer avoided entirely is the most effective and economical outcome.
  • Act on Existing Prevention Knowledge: Implement behavioral and policy interventions based on what we already know today, rather than delaying action to wait for new biological discoveries.
  • Epidemiology for Clinical Action: Design and present epidemiological analyses specifically to inform clinical guidelines and public health policy, rather than merely refining statistical metrics or concluding that "more research is needed."
  • Life-Course Approach to Prevention: Target prevention efforts during childhood and adolescence when tissue is most susceptible, because disease risk accumulates rapidly during early life windows.
  • Prevent Weight Gain Over Unattainable Weight Loss: Anchor public health messaging on maintaining current weight and preventing further gain, because pursuing drastic, idealized weight loss usually leads to a cycle of failure and regain.

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

How Graham A. Colditz reasons

When evaluating a public health problem or an epidemiological study, Colditz first asks: "How does this change clinical action or public health policy?" He is deeply pragmatic. He dismisses the endless pursuit of statistical perfection—such as chasing a better p-value or a higher Area Under the Curve (AUC)—if those metrics do not translate into better decisions at specific clinical cut points.

He emphasizes the Implementation Gap, focusing on why institutions and societal habits fail to apply known interventions for the "Big Three" (tobacco, obesity, and physical inactivity). He views risk through the lens of Windows of Susceptibility and a Risk Accumulation Trajectory, understanding that exposures during rapid tissue development (like adolescence) carry disproportionate weight. Rather than isolating behaviors, he advocates for integrated wellness and transdisciplinary collaboration to solve multifaceted health issues.

For a full catalog of his mental models, see references/mental-models.md.

Applying the frameworks

Stakeholder Integration for Prevention

Use this when designing or evaluating the rollout of a population-level health program to ensure it survives beyond the initial funding phase.

  1. Identify and convene all relevant stakeholders (state/federal agencies, academics, community groups, healthcare providers).
  2. Establish common goals at a shared table.
  3. Secure consensus agreements across all organizational levels.
  4. Move the prevention initiative forward collectively to ensure long-term sustainability.
Show full SKILL.md (382 more words)Show less
Epidemiological Proof of Prevention

Use this when trying to quantify the real-world impact of lifestyle choices on disease risk.

  1. Identify a cohort demonstrating a very healthy lifestyle and a comparable high-risk cohort.
  2. Follow both groups prospectively over time.
  3. Compare the difference in disease incidence to estimate the proportion of risk avoided by the healthy lifestyle.
  4. Control for genetics and family history to isolate lifestyle variables.
  5. Corroborate the statistical findings with biological mechanisms and bench science to prove causation.

For the full catalog of frameworks, including the Breast Tissue Aging Model and Nested Case-Control Bias Evaluation, see references/frameworks.md.

Anti-patterns he pushes against

  • The "More Research is Needed" Cop-Out: Concluding a study by asking for more research instead of translating the current findings into actionable guidelines. Colditz views this as an excuse to avoid action.
  • Over-relying on AUC for Clinical Models: Evaluating prediction tools based on overall statistical discrimination rather than their impact on patient decisions and outcomes at specific clinical cut points.
  • Debating Dietary Fads: Arguing over specific nutrients or fad diets, which distracts from the dominant, proven strategy of maintaining overall energy balance.
  • Ignoring Selection Bias: Failing to account for the "healthy volunteer effect" in case-control studies, which artificially inflates the apparent protective benefits of healthy behaviors.
  • Waiting for Perfect Knowledge: Delaying the implementation of known, effective prevention strategies while waiting for new risk factors to be discovered.

How to use this skill in conversation

When the user is analyzing a public health policy, designing a clinical study, or asking for lifestyle intervention advice, channel Colditz's pragmatic, action-oriented epidemiology.

If the user is focused on complex treatments or genetic screening, gently pivot the conversation toward Prevention as Plan A and the Implementation Gap, noting that we already have the knowledge to prevent over half of cancers. If the user is discussing weight loss strategies, surface the principle of Preventing Weight Gain Over Unattainable Weight Loss, explaining the compounding benefits of simply stopping the upward trajectory.

When evaluating predictive models, challenge the reliance on AUC by citing the need for Clinical Utility Over Statistical Metrics. Always attribute these specific concepts to Graham A. Colditz (e.g., "Graham A. Colditz frames this as a Window of Susceptibility..."), applying his frameworks to the user's specific context without pretending to be him.

© 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/graham-a-colditz 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_004.e584bd6c.json
  • _workspace/distilled/src_005.e584bd6c.json
  • _workspace/distilled/src_006.e584bd6c.json
  • … and 54 more

Open the folder on GitHubat commit a38f5fc

Compare with similar skills

Graham A Colditz 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.

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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

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Categories

Questions about Graham A Colditz

What does Graham A Colditz do?

A skill your agent uses whenever you are reasoning about public health policy, cancer prevention, epidemiological study design, clinical risk models, or weight management advice. Graham A Colditz is an agent skill from K-Dense-AI/mimeographs. Use this skill whenever you are reasoning about public health policy, cancer prevention, epidemiological study design, clinical risk models, or weight management advice.

When should I use Graham A Colditz?

Graham A Colditz fits situations like: you are reasoning about public health policy; cancer prevention; epidemiological study design; clinical risk models.

How do I install Graham A Colditz in Claude Code?

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

How do I install Graham A Colditz in Codex?

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

Can I use Graham A Colditz 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 graham-a-colditz -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/graham-a-colditz, .gemini/skills/graham-a-colditz, .github/skills/graham-a-colditz and .opencode/skills/graham-a-colditz in your project.

What does Graham A Colditz need to run?

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

Does Graham A Colditz 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 Graham A Colditz 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 Graham A Colditz use?

Graham A Colditz 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 Graham A Colditz use?

About 1.8k tokens (SKILL.md is roughly 7.2k 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 5.7k tokens, read only when the agent opens those files.

What are the alternatives to Graham A Colditz?

Skills that share tags, products or a category with Graham A Colditz: Tw Healthcare Regulations (asgard-ai-platform/skills, 242 stars), The Lancet Psychiatry (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Scientific Critical Thinking (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars) and Benchmark Paper Template (HKUSTDial/Supervisor-Skills, 8.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Graham A Colditz?

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.