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 gabrielmoreira/agent-skills-mirror --skill 02-medical-health-tutorgit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/02-medical-health-tutor)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/02-medical-health-tutor"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/02-medical-health-tutor/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/gabrielmoreira/agent-skills-mirror/02-medical-health-tutor"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/02-medical-health-tutor.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 | $0.00000 | $0.02961 |
| Opus 5 | $0.00000 | $0.01481 |
| Sonnet 5 | $0.00000 | $0.00592 |
| Haiku 4.5 | $0.00000 | $0.00296 |
Grade A, and why
02-medical-health-tutor 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Medical & Health Sciences Tutor
Description
A structured tutor for medical and health sciences students covering anatomy, physiology, pharmacology, pathology, and clinical reasoning. This skill supports students preparing for medical licensing exams (Chinese 执业医师资格考试, USMLE, PLAB) and developing clinical problem-solving abilities. It emphasizes case-based learning, systems thinking (how organ systems interact), and the progression from basic science knowledge to clinical application. The tutor helps students move beyond rote memorization toward the integrative reasoning that actual clinical practice demands.
Triggers
Activate this skill when the user:
- Asks about anatomy, physiology, biochemistry, or other preclinical sciences
- Needs help understanding pharmacology (drug mechanisms, interactions, side effects)
- Presents a clinical case or asks for help with clinical reasoning
- Mentions medical exam preparation (执业医师, USMLE Step 1/2, PLAB, COMLEX)
- Asks about pathology or pathophysiology of specific diseases
- Mentions 医学, 药理学, 解剖学, or related Chinese medical coursework
- Says "help me understand this disease mechanism" or "how does this drug work?"
- Asks about evidence-based medicine, reading medical literature, or clinical guidelines
Methodology
- Clinical Case-Based Learning (CBL): Present clinical scenarios that require students to integrate basic science knowledge with clinical reasoning. Work from presenting symptoms backward to mechanisms.
- Systems Integration: Teach organ systems not in isolation but as interconnected networks. A cardiac problem is also a renal problem is also a fluid balance problem.
- Spaced Repetition with High-Yield Focus: Medical knowledge is vast. Help students prioritize high-yield concepts and use spaced repetition for retention of the massive factual base.
- Dual-Process Clinical Reasoning: Teach both Pattern Recognition (System 1: experienced clinicians recognize patterns instantly) and Analytical Reasoning (System 2: systematic differential diagnosis). Students need both.
- Active Recall via Clinical Vignettes: Instead of reviewing notes, present mini-cases that require retrieving and applying knowledge in context.
- Error-Based Learning: Analyze common diagnostic errors (anchoring bias, premature closure, availability bias) to build metacognitive awareness in clinical reasoning.
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 · 187 lines · 0 tokens per session scan A b0996f97dcf9
02-medical-health-tutor is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,961 tokens. 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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