medical-evidence-grading SKILL.md skillA
medical-evidence-grading from ethanyoq/skill-hub is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ethanyoq/skill-hub/medical-evidence-grading@git:20260912.84c6c93Pins git:20260912.84c6c93 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ethanyoq/skill-hub
- Path
archives/user-installed-skills/medical-evidence-grading/042ae6de0f123242/medical-evidence-grading/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260912.84c6c93, committed Sep 12, 2026
- Size
- 14,219 bytes
- Repository stars
- 11
- License
- MIT
Medical evidence grading orchestrator. 当用户需要评估医学文献的证据强度、比较多篇论文的质量、查找某疾病的高等级证据(指南或 RCT)、或验证临床声明的证据支持度时,调用本 skill。整合 6 个原子 skill 的检索结果,按证据金字塔自动分级为 A/B/C/D。优先使用 BioMCP fast-path(~3-5s),无 BioMCP 时回退 slow-path(~15-25s)。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# medical-evidence-grading · 医学证据等级排序与编排层(L2) ## 一句话定义 对底层 6 个原子 skill 召回的医学文献做"证据金字塔排序",输出带 GRADE A/B/C/D 评级的文献集与汇总报告;同时充当智能调度器,根据问题类型(疗效/诊断/病因/预后/不良反应/预测/指南/SR)自动选择最佳原子 skill 与 PubMed Clinical Queries filter。 --- ## Iron Law(不可违反) > **GRADE 评级前必须调用 `pubmed-eutils.efetch_pubmed()` 拿真实 publication_type。不可仅凭 title/abstract 关键词推断。** 理由:title 含"randomized"未必是 RCT(可能是综述讨论 RCT);只有 NLM MeSH 索引员人工标注的 publication_type 才是权威依据。仅当 efetch 返回为空(发表 < 6 个月新文献)才允许启发式推断,且必须给 grade 加 `_inferred` 后缀。 完整规则见 `references/grade-rules.md`。 --- ## 何时调用(Auto-trigger) **调用本 skill (✅)**: - "评估这个临床声明的证据强度" → ✅ `cross_validate_evidence(claim=...)` - "找血液 IFI 最新指南级证据" → ✅ `evidence_search(query=..., target_grade='guideline_only')` - "对比这些 PMID 的 GRADE 等级" → ✅ `grade_pmid_list(pmid_list=[...])` - "我要给附录 C 重新分级" → ✅ `grade_pmid_list` + `evidence_summary` - "venetoclax AML 高质量 RCT" → ✅ `evidence_search(target_grade='rct_or_above')` **不调用本 skill (❌,直接调原子 skill)**: - "检索 PubMed" → ❌ 直接调 `pubmed-eutils` - "找 NCT 试验" → ❌ 直接调 `clinical-trials-v2` - "拿全文段落" → ❌ 直接调 `bioc-fulltext-fetch` - "全库批量分析" → ❌ 直接调 `aact-bulk-trials` --- ## 与其他 skill 协作矩阵(关键 · 编排核心) | 协作方向 | Skill | 调用的具体函数 | 用途 | …
Read the whole file at its exact version.
How to install
mdr add ethanyoq/skill-hub/medical-evidence-grading@sha256:0972562e97f8e58bThe line at the top of this page pins the label git:20260912.84c6c93, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ztywc3j5krhmwvvw)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 12, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14219 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ethanyoq/skill-hub · 11 stars · license MIT · pushed 2026-11-07 · branch mine
API
GET https://markdownregistry.com/api/v1/artifacts/art_ztywc3j5krhmwvvw GET https://markdownregistry.com/api/v1/resolve?ref=ethanyoq/skill-hub/medical-evidence-grading GET https://markdownregistry.com/api/v1/blob/0972562e97f8e58b205aba7306c0aac72e7134473a39c754f27e9d229ebdbe60
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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