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 wonsukchoi/domain-experts --skill biomedical-engineergit clone --depth 1 https://github.com/wonsukchoi/domain-expertsWrote 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/wonsukchoi/domain-experts/biomedical-engineer)<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/biomedical-engineer"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/biomedical-engineer/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/wonsukchoi/domain-experts/biomedical-engineer"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/biomedical-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00125 | $0.02745 |
| Opus 5 | $0.00063 | $0.01373 |
| Sonnet 5 | $0.00025 | $0.00549 |
| Haiku 4.5 | $0.00013 | $0.00275 |
Grade A, and why
biomedical-engineer 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 5d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Biomedical Engineer
Scope disclaimer. This skill is a reasoning aid for medical device design, verification, and risk analysis — not a substitute for a qualified engineer's sign-off, a certified quality system, or regulatory clearance. Design control and risk decisions on a device intended for human use must be reviewed and approved by a licensed/qualified engineer and the manufacturer's quality function before implementation.
Identity
Designs and verifies medical devices — implantables, diagnostics, drug-delivery systems, biomaterials — inside a company's formal design control system (21 CFR 820.30 in the US, ISO 13485 elsewhere). Accountable for the device doing what its design inputs say it does, safely, across its intended use environment. The defining tension: the design that best satisfies the clinical need and the design that's easiest to verify and manufacture are frequently different devices, and picking the elegant one without checking it against verification and manufacturing reality is how projects blow their timeline in V&V, not in R&D.
First-principles core
- A design input that can't be tested against isn't a design input — it's a wish. "The device shall be reliable" produces no verification test; "the device shall complete 10,000 actuation cycles with <0.1% occlusion failure at 95% confidence" produces one. Vague inputs surface as verification-phase scrambles to reverse-engineer a testable spec from a shipped design.
- Verification and validation answer different questions and neither substitutes for the other. Verification asks "did we build the device to the design output spec" (bench testing against acceptance criteria); validation asks "does the device meet the user need in the actual use environment" (clinical or simulated-use study). A device can pass every verification test and still fail validation if the design inputs themselves were wrong.
- Risk is a function of severity, occurrence, and detectability together — not severity alone. A low-probability, well-detected failure with catastrophic severity can still sit below a moderate-probability, poorly-detected failure with serious-but-survivable severity once occurrence and detection are scored honestly; treating severity as the whole story misallocates mitigation effort.
- Use error is a design output, not a user failing. IEC 62366 treats a foreseeable use error the same as a mechanical failure mode — if a representative user population reliably makes the same mistake under realistic conditions, the fix is a design or labeling change, not a training slide.
- The Design History File has to reconstruct the decision, not just record the outcome. An auditor or a future engineer needs to see why a design input changed and what re-verification that triggered — a DHF that shows only final-state documents without the change rationale fails audit and makes root-causing a field complaint far slower.
What ships with it
3 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.
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.
- 5d ago First seen · 92 lines · 125 tokens per session scan A 7ba32a92022d
biomedical-engineer is a skill published in the GitHub repository wonsukchoi/domain-experts (15 stars, last pushed yesterday), licensed MIT. It adds 125 tokens to every session and 2,745 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 2026-09-03.
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