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 julie-e-buringgit 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/julie-e-buring)<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/julie-e-buring"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/julie-e-buring/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/julie-e-buring"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/julie-e-buring.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 | $0.00114 | $0.01312 |
| Opus 5 | $0.00057 | $0.00656 |
| Sonnet 5 | $0.00023 | $0.00262 |
| Haiku 4.5 | $0.00011 | $0.00131 |
Grade A, and why
julie-e-buring 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.
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 Julie E. Buring
Julie E. Buring approaches medical research as a detective, viewing epidemiology as the rigorous process of sorting out how and why specific factors affect health outcomes. Her thinking is characterized by a deep patience for the scientific process, a refusal to rely on single studies, and a pragmatic appreciation for what data actually tells us. She does not view conflicting studies as failures, but as the natural progression of knowledge, where observational data raises hypotheses and randomized trials test them.
Her signature shape of reasoning is deeply evidence-based but highly practical, emphasizing the integration of basic science, observational cohorts, and large-scale randomized clinical trials (RCTs). She champions the idea that finding out something doesn't work is just as valuable as finding out it does, because it redirects public health resources and patient attention toward proven interventions.
Reach for this skill whenever you're evaluating the validity of a clinical trial, designing a new study cohort, trying to reconcile conflicting medical research, or assessing cardiovascular risk factors.
Core principles
- The Value of Null Results: Treat definitive "no difference" findings as successes because they simplify decision-making and prevent patients from relying on ineffective treatments.
- The Totality of Evidence: Never rely on a single study; integrate basic research, observational data, and large-scale RCTs to form sound public health recommendations.
- Rigorous Evaluation of Integrative Medicine: Hold complementary therapies to the exact same scientific standards as conventional medicine to move from asking "does it work?" to "how does it work?".
- Leveraging Existing Cohorts: Harmonize and mine existing cohort data to answer new questions before spending time and money initiating expensive new populations.
For detailed rationale and quotes, see references/principles.md.
How Julie E. Buring reasons
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 12 KB
- _workspace/clustered_corpus.e584bd6c.json 23 KB
- _workspace/discovery/books.json 6.5 KB
- _workspace/discovery/essays.json 8.3 KB
- _workspace/discovery/frameworks.json 9.0 KB
- _workspace/discovery/interviews.json 6.3 KB
- _workspace/discovery/letters.json 9.7 KB
- _workspace/discovery/papers.json 9.1 KB
- _workspace/discovery/podcasts.json 5.5 KB
- _workspace/discovery/ranked_sources.e584bd6c.json 21 KB
- _workspace/discovery/talks.json 8.3 KB
- _workspace/distilled/src_003.e584bd6c.json 490 B
- _workspace/distilled/src_005.e584bd6c.json 685 B
- _workspace/distilled/src_007.e584bd6c.json 3.0 KB
- _workspace/distilled/src_010.e584bd6c.json 592 B
- _workspace/distilled/src_011.e584bd6c.json 1.6 KB
- _workspace/distilled/src_012.e584bd6c.json 8.0 KB
- _workspace/distilled/src_013.e584bd6c.json 6.0 KB
- _workspace/distilled/src_014.e584bd6c.json 4.5 KB
- _workspace/distilled/src_015.e584bd6c.json 441 B
- _workspace/distilled/src_019.e584bd6c.json 6.1 KB
- _workspace/distilled/src_020.e584bd6c.json 7.1 KB
- _workspace/distilled/src_021.e584bd6c.json 1.7 KB
- _workspace/distilled/src_026.e584bd6c.json 2.8 KB
- _workspace/distilled/src_028.e584bd6c.json 1.9 KB
- _workspace/distilled/src_033.e584bd6c.json 517 B
- _workspace/distilled/src_044.e584bd6c.json 559 B
- _workspace/distilled/src_049.e584bd6c.json 537 B
- _workspace/distilled/src_050.e584bd6c.json 2.8 KB
- _workspace/distilled/src_052.e584bd6c.json 579 B
- _workspace/distilled/src_054.e584bd6c.json 800 B
- _workspace/distilled/src_058.e584bd6c.json 744 B
- _workspace/distilled/src_059.e584bd6c.json 1.9 KB
- _workspace/distilled/src_061.e584bd6c.json 6.1 KB
- _workspace/distilled/src_063.e584bd6c.json 815 B
- _workspace/distilled/src_064.e584bd6c.json 1.3 KB
- _workspace/raw/src_003.json 3.3 KB
- _workspace/raw/src_005.json 7.6 KB
- _workspace/raw/src_007.json 51 KB
- _workspace/raw/src_010.json 1.8 KB
- _workspace/raw/src_011.json 3.8 KB
- _workspace/raw/src_012.json 57 KB
- _workspace/raw/src_013.json 11 KB
- _workspace/raw/src_014.json 50 KB
- _workspace/raw/src_015.json 42 KB
- _workspace/raw/src_019.json 18 KB
- _workspace/raw/src_020.json 28 KB
- _workspace/raw/src_021.json 10 KB
- _workspace/raw/src_026.json 35 KB
- _workspace/raw/src_028.json 7.0 KB
- _workspace/raw/src_033.json 15 KB
- _workspace/raw/src_044.json 6.5 KB
- _workspace/raw/src_049.json 10 KB
- _workspace/raw/src_050.json 16 KB
- _workspace/raw/src_052.json 8.8 KB
- _workspace/raw/src_054.json 50 KB
- _workspace/raw/src_058.json 13 KB
- _workspace/raw/src_059.json 50 KB
- _workspace/raw/src_061.json 51 KB
- _workspace/raw/src_063.json 51 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.
- 9d ago First seen · 58 lines · 114 tokens per session scan A 89c9d32b71ee
julie-e-buring is a skill published in the GitHub repository K-Dense-AI/mimeographs (122 stars, last pushed 21d ago), licensed MIT. It adds 114 tokens to every session and 1,312 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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