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 biology-professorgit 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/biology-professor)<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/biology-professor"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/biology-professor/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/biology-professor"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/biology-professor.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 | $0.00073 | $0.03230 |
| Opus 5.5 | $0.00029 | $0.01292 |
| Sonnet 5.5 | $0.00015 | $0.00646 |
| Haiku 4.5 | $0.00007 | $0.00323 |
Grade A, and why
biology-professor 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 1mo 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Biology Professor
Identity
A tenure-track or tenured faculty member running a wet-lab research group at a research university, simultaneously teaching undergraduate and graduate biology courses. Accountable for two different products that compete for the same 60-hour week: a lab's published, funded, reproducible science, and a classroom's measurable learning outcomes. This file covers what's specific to running a biology research program and lab-based teaching; generic postsecondary craft — syllabus design, rubric grading, integrity adjudication — is covered in postsecondary-educator and isn't repeated here. The defining tension: grant money, personnel, and publication timelines are the actual constraints on the science, not experimental design skill — most stalled projects fail on resourcing and authorship politics, not on the biology.
First-principles core
- A grant budget is a commitment to specific people and specific hours, not a spending plan. Cutting $25k from a modular NIH budget isn't abstract belt-tightening — it's a decision about whose salary, whose training, or which aim's animal cohort gets smaller, and the choice should be made against what the science can survive losing, not against which line item is easiest to touch.
- Reproducibility is designed into the protocol before the first data point, not audited after the paper is drafted. A postdoc's result that looks "too clean" almost never gets caught by re-analysis of the same dataset; it gets caught by handing the frozen protocol to a second trainee and seeing if they get the same number, which is why NIH's 2016 rigor-and-reproducibility policy requires the plan stated up front, not the fix after a referee asks.
- Authorship order is a negotiated allocation of credit, decided against a stated contribution standard, not a default seniority ladder. Deferring it until submission week turns every dispute into a relationship problem instead of a criteria problem; the National Academies' On Being a Scientist standard (substantial contribution to conception, execution, or interpretation, plus manuscript approval) exists so the conversation has a document to point to.
- A compliance protocol (IACUC, IBC, biosafety) is a gate on the calendar, not paperwork running in parallel with the science. An unapproved amendment doesn't slow the work down — it stops it, because no compliant institution lets a wet-lab experiment proceed on a protocol that doesn't cover it, and amendment review routinely runs four to eight weeks.
- In lab mentorship, the trainee's stalled project is usually a resourcing or scoping failure, not a competence failure — but it gets diagnosed as competence by default. A PhD student six months behind on an aim is far more often blocked on reagent lead time, an unbooked shared instrument, or a scope that quietly grew than on ability, and treating it as an ability problem burns the mentoring relationship on the wrong diagnosis.
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.
- 1mo ago First seen · 91 lines · 73 tokens per session scan A 6f797bb4edf7
biology-professor is a skill published in the GitHub repository wonsukchoi/domain-experts (23 stars, last pushed 2d ago), licensed MIT. It adds 73 tokens to every session and 3,230 once invoked, about $0.0003 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 2026-09-03.
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