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.
npx skills add K-Dense-AI/mimeographs --skill meir-j-stampfergit clone --depth 1 https://github.com/K-Dense-AI/mimeographsWrote 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.
[](https://agentmods.dev/skills/k-dense-ai/mimeographs/meir-j-stampfer)<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/meir-j-stampfer"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/meir-j-stampfer/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.
<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/meir-j-stampfer"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/meir-j-stampfer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00130 | $0.01285 |
| Opus 5.5 | $0.00052 | $0.00514 |
| Sonnet 5.5 | $0.00026 | $0.00257 |
| Haiku 4.5 | $0.00013 | $0.00128 |
Grade A, and why
meir-j-stampfer 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thinking like Meir J. Stampfer
Meir J. Stampfer is a pioneering epidemiologist and nutrition researcher who fundamentally shifted how we evaluate diet and lifestyle. His thinking is defined by a pragmatic, population-level approach to chronic disease prevention. Rather than looking for isolated "superfoods" or waiting for impossible randomized controlled trials (RCTs), he evaluates long-term, cumulative lifestyle patterns using robust observational data.
The signature shape of his reasoning is relational and combinatorial. He never evaluates a nutrient in a vacuum; he always asks what it is replacing in the diet. He also recognizes that human behaviors cluster, meaning true health interventions require combining multiple low-risk lifestyle factors rather than seeking a single cure. Reach for this skill whenever you're analyzing dietary choices, public health guidelines, longevity protocols, or the validity of nutritional studies.
Core principles
- The Substitution Principle of Nutrition: Evaluate the healthfulness of foods and macronutrients based on what they replace in the diet, because in a calorie-stable diet, eating less of one thing means eating more of another.
- Combinatorial Lifestyle Evaluation: Adopt and evaluate lifestyle factors in combination, as behaviors naturally cluster and their compounded effects drive primary prevention.
- Actionable Observational Data: Rely on the best available observational data for public health decisions, because waiting for perfect, long-term RCTs on primary prevention is both ethically and logistically impossible.
- Quality Over Quantity in Fats and Proteins: Focus on the specific sources and types of macronutrients (e.g., replacing saturated fats with unsaturated fats) rather than reducing total intake.
- Prioritize Prevention in Healthcare: Shift the focus of health policy from disease treatment to primary prevention, as the vast majority of chronic diseases are entirely preventable through lifestyle.
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.
- _workspace/agents_output.e584bd6c.json 11 KB
- _workspace/clustered_corpus.e584bd6c.json 27 KB
- _workspace/discovery/books.json 7.5 KB
- _workspace/discovery/essays.json 7.9 KB
- _workspace/discovery/frameworks.json 9.9 KB
- _workspace/discovery/interviews.json 8.2 KB
- _workspace/discovery/letters.json 9.3 KB
- _workspace/discovery/papers.json 10 KB
- _workspace/discovery/podcasts.json 8.2 KB
- _workspace/discovery/ranked_sources.e584bd6c.json 26 KB
- _workspace/discovery/talks.json 6.0 KB
- _workspace/distilled/src_000.e584bd6c.json 537 B
- _workspace/distilled/src_004.e584bd6c.json 5.5 KB
- _workspace/distilled/src_009.e584bd6c.json 4.6 KB
- _workspace/distilled/src_010.e584bd6c.json 3.4 KB
- _workspace/distilled/src_011.e584bd6c.json 2.4 KB
- _workspace/distilled/src_019.e584bd6c.json 564 B
- _workspace/distilled/src_020.e584bd6c.json 4.8 KB
- _workspace/distilled/src_021.e584bd6c.json 3.6 KB
- _workspace/distilled/src_023.e584bd6c.json 3.1 KB
- _workspace/distilled/src_024.e584bd6c.json 596 B
- _workspace/distilled/src_026.e584bd6c.json 3.0 KB
- _workspace/distilled/src_032.e584bd6c.json 1.4 KB
- _workspace/distilled/src_033.e584bd6c.json 5.1 KB
- _workspace/distilled/src_041.e584bd6c.json 641 B
- _workspace/distilled/src_045.e584bd6c.json 8.4 KB
- _workspace/distilled/src_046.e584bd6c.json 2.2 KB
- _workspace/distilled/src_048.e584bd6c.json 472 B
- _workspace/distilled/src_049.e584bd6c.json 3.5 KB
- _workspace/distilled/src_050.e584bd6c.json 760 B
- _workspace/distilled/src_055.e584bd6c.json 731 B
- _workspace/distilled/src_059.e584bd6c.json 7.2 KB
- _workspace/distilled/src_061.e584bd6c.json 523 B
- _workspace/distilled/src_062.e584bd6c.json 1.5 KB
- _workspace/distilled/src_064.e584bd6c.json 6.3 KB
- _workspace/distilled/src_065.e584bd6c.json 1.6 KB
- _workspace/raw/src_000.json 3.5 KB
- _workspace/raw/src_004.json 50 KB
- _workspace/raw/src_009.json 53 KB
- _workspace/raw/src_010.json 920 B
- _workspace/raw/src_011.json 3.0 KB
- _workspace/raw/src_019.json 10 KB
- _workspace/raw/src_020.json 7.5 KB
- _workspace/raw/src_021.json 8.5 KB
- _workspace/raw/src_023.json 50 KB
- _workspace/raw/src_024.json 50 KB
- _workspace/raw/src_026.json 5.4 KB
- _workspace/raw/src_032.json 1.5 KB
- _workspace/raw/src_033.json 50 KB
- _workspace/raw/src_041.json 15 KB
- _workspace/raw/src_045.json 50 KB
- _workspace/raw/src_046.json 3.2 KB
- _workspace/raw/src_048.json 6.2 KB
- _workspace/raw/src_049.json 4.4 KB
- _workspace/raw/src_050.json 13 KB
- _workspace/raw/src_055.json 11 KB
- _workspace/raw/src_059.json 50 KB
- _workspace/raw/src_061.json 50 KB
- _workspace/raw/src_062.json 48 KB
- _workspace/raw/src_064.json 50 KB
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.
- 2mo ago First seen · 55 lines · 130 tokens per session scan A 7d2aedf07529
meir-j-stampfer is a skill published in the GitHub repository K-Dense-AI/mimeographs (139 stars, last pushed 2mo ago), licensed MIT. It adds 130 tokens to every session and 1,285 once invoked, about $0.0005 per session on Opus 5.5. 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.
meir-j-stampfer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| meir-j-stampferK-Dense-AI/mimeographs | Skill | 139 | 2mo ago | MIT | A | 130 | Claude Code, Codex |
| lean-formalizewanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 81 | Claude Code |
| build-interactive-explainersEverMind-AI/Raven | Skill | 6.0k | yesterday | Apache-2.0 | A | 102 | Claude Code, Codex |
| tooluniverse-organic-chemistrymims-harvard/ToolUniverse | Skill | 1.8k | yesterday | Apache-2.0 | A | 86 | Claude Code |
| scaffold-exercisespedrohcgs/claude-code-my-workflow | Skill | 1.7k | 2d ago | MIT | A | 101 | Claude Code |
| edu-chem-reactionwy51ai/edulab | Skill | 1.8k | 14d ago | Apache-2.0 | A | 495 | Claude Code |
| present-paperAperivue/medsci-skills | Skill | 367 | 4d ago | MIT | A | 59 | Claude Code |