domain_clinical

domain_clinical is a skill for Claude Code, Codex from fdueblab/Micro-Agent. It costs 0 tokens per session (464 once invoked), scanned A, original, MIT.

A set of instructions for designing clinical algorithms, including their intended patients, inputs, units, prediction outcomes, time periods, and limits. It requires sources, runnable entry points, example inputs, and explicit gaps when important information is missing.

In plain words
What is it for?
Use it to draft or reproduce clinical algorithms, define their inputs and conditions, check supporting medical sources, and prepare a testable JSON-based implementation.
Why use it?
Clinical calculations can be unsafe when their population, measurements, or evidence are unclear. These instructions reduce unsupported assumptions and distinguish documented methods from new ideas.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to draft or reproduce clinical algorithms, define their inputs and conditions, check supporting medical sources, and prepare a testable JSON-based implementation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fdueblab/micro-agent/domain_clinical
Install

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.

Any agent
npx skills add fdueblab/Micro-Agent --skill domain_clinical
Clone the repo
git clone --depth 1 https://github.com/fdueblab/Micro-Agent

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for domain_clinical

README.md
[![agentmods](https://agentmods.dev/badge/skills/fdueblab/micro-agent/domain_clinical/github.svg)](https://agentmods.dev/skills/fdueblab/micro-agent/domain_clinical)
Your own site
<a href="https://agentmods.dev/skills/fdueblab/micro-agent/domain_clinical"><img src="https://agentmods.dev/badge/skills/fdueblab/micro-agent/domain_clinical/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.

agentmods 80×15 button for domain_clinical

Your own site · 80×15
<a href="https://agentmods.dev/skills/fdueblab/micro-agent/domain_clinical"><img src="https://agentmods.dev/badge/skills/fdueblab/micro-agent/domain_clinical.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 464 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00464
Opus 5.5 $0.00000 $0.00186
Sonnet 5.5 $0.00000 $0.00093
Haiku 4.5 $0.00000 $0.00046

Measured 17d ago against content hash 34d5c4050cb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

domain_clinical 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 17d 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.

workspace/skills/domain_clinical/SKILL.md · 22 lines

What it actually says

临床医疗算法生成规范

适用于 domain=clinical 的算法想定式开发。先确定临床任务、目标人群、输入指标、单位、预测终点、时间窗、适用与排除条件。资料没有给出的关键参数一律记为缺口。

生成方式

  • 严格复现:逐项列出原始论文/指南的公式、参数、版本、适用条件与出处,保留原方法,不自动修改公式。无法确认的参数不得猜测。
  • 新方案探索:明确哪些内容来自资料,哪些是新假设。新算法与临床有效性分别验证。
  • 专利资料仅用于技术检索与来源记录,不等于临床证据。

可运行交付

  • main_process 使用确定的命名参数,仅接受 JSON 基本类型,输出可序列化为 JSON。
  • 同步给出 algorithm_spec.inputs,字段名称和顺序必须与 main_process 参数一致。每项含中文标签、类型、单位、是否必填、可选项和解释。
  • 同步给出不含个人信息的 smoke_input,并运行它验证入口。测试未实际执行时不得报告“通过”。
  • 若需要预训练权重、特殊依赖或模型资产,说明来源与版本;缺少资产时保持草稿,不宣称在线可用。
  • 标注成人/儿童等人群边界、单位换算、缺失值、异常范围与不能适用的情形。

临床知识来源

优先核对原始指南或论文及其版本。示例可参考 NIDDK 成人 eGFR 公式(https://www.niddk.nih.gov/research-funding/research-programs/kidney-clinical-research-epidemiology/laboratory/glomerular-filtration-rate-equations/adults)、WHO ICD(https://www.who.int/standards/classifications/classification-of-diseases)、LOINC(https://loinc.org/start)。这些资料仅用于对应任务;不得把某一来源自动推广到其他疾病或人群。

Files

What ships with it

1 file 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.

Changes

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.

  1. 17d ago First seen · 22 lines · 0 tokens per session scan A 34d5c4050cb5

Subscribe to this mod's changes

domain_clinical is a skill published in the GitHub repository fdueblab/Micro-Agent (101 stars, last pushed 17d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 464 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 2026-09-30.

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