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Global Health & Biotech Intelligence

Name: Global Health & Biotech Intelligence
Author: ai-gaoqian

作者 ai-gaoqian · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install global-health-intel

功能描述

Provides detailed, multi-source insights on global disease outbreaks, clinical trials, drug pipelines, health systems, regulations, and biomedical research.

使用说明 (SKILL.md)

Global Health & Biotech Intelligence

Capabilities

#	Capability	Input	Output
1	Disease Outbreak Surveillance	Country / pathogen / time range	Cases, R0, CFR, geographic spread, genomic variants, WHO/CDC advisories
2	Clinical Trial Intelligence	Drug / indication / phase / sponsor	Trial design, enrollment, endpoints, results, N sites, cross-referenced across CT.gov/EU-CTR
3	Drug Pipeline Analysis	Therapeutic area / mechanism / company	Phase progression, likelihood-of-approval, competitive landscape, patent expiry, market forecast
4	Health Systems Benchmarking	Countries (2-10)	Expenditure %GDP, UHC index, outcomes (LE/HALE), workforce density, hospital beds, digital maturity
5	Biomedical Literature Synthesis	Topic / PICOS query	Systematic review-style summary, strength-of-evidence grading, conflicting findings flagged
6	Regulatory & Reimbursement Landscape	Drug/device + jurisdiction	Approval pathway, HTA assessment, pricing & access, post-market surveillance requirements
7	Longevity & Aging Science Monitor	Intervention / pathway	Preclinical–clinical pipeline, mechanism-of-action, biomarker effects, safety signals
8	Digital Health & AI MedTech Radar	Category + region	Regulatory classification (SaMD), clinical evidence maturity, reimbursement status, competitive scan
9	Vaccine Development Dashboard	Pathogen / platform (mRNA/viral vector/etc)	Phase status, efficacy data, manufacturing capacity, cold-chain requirements, variant coverage
10	Health Policy Comparative Analysis	Policy area + countries	Legal framework, funding mechanism, implementation status, outcomes data, stakeholder positions

Workflow

User Query
  │
  ├─ [Step 1] Triage query → identify domain(s) from 9 disease categories + 4 analysis types
  │
  ├─ [Step 2] Execute parallel search across relevant sources:
  │   └─ Official sources (WHO GHO, CDC, NIH/FDA/EMA) for regulatory + epidemiological
  │   └─ Trial registries (CT.gov, EU-CTR) for clinical pipeline
  │   └─ Literature (PubMed, medRxiv) for evidence base
  │   └─ Analytics (IHME GBD, Our World in Data) for population-level metrics
  │
  ├─ [Step 3] Data fusion: cross-reference across sources, flag discrepancies
  │
  ├─ [Step 4] Quality assessment: GRADE framework for evidence, QC for data freshness (\x3C30-day recency preferred)
  │
  ├─ [Step 5] Structured output generation per domain template
  │
  └─ [Step 6] Cite all sources with URLs, publish dates, and data vintage

Output Formats

Disease Outbreak Brief

Field	Content
Pathogen/Syndrome	Name, taxonomy, known variants
Epidemiological Snapshot	Cases, deaths, CFR, R0/Rt, doubling time
Geographic Distribution	Affected regions, hot zones, importation risk
Countermeasures	Vaccines (available/in-development), therapeutics, diagnostics
Public Health Measures	WHO PHEIC status, travel advisories, NPIs
Sources	URLs + retrieval dates

Drug Pipeline Matrix

Drug (Company)	Mechanism	Phase	Key Endpoints	PDUFA/Decision Date	LoA Est.	Notes
...	...	...	...	...	...	...

Health Systems Comparison Table

Indicator	Country A	Country B	Country C	OECD Avg
Health exp. %GDP
UHC Service Coverage Index
Life expectancy at birth
Physicians per 1,000
Hospital beds per 1,000
Out-of-pocket % health spend

Usage Guidelines

Always query multiple sources — no single database covers all needed dimensions
Temporal context is critical — include data vintage for all epidemiological and regulatory content
Non-expert accessible — translate medical terminology on first use; append glossary for complex topics
Risk-appropriate framing — distinguish between peer-reviewed consensus, preprints, and commercial forecasts
Regulatory disclaimer — this skill provides intelligence, not medical advice; include disclaimer for drug/device content
Multi-language capability — search and summarize across English, Chinese, Japanese, French, Spanish, German, Arabic

Examples

Example 1: Drug Pipeline Query

User: "What's the competitive landscape for GLP-1 receptor agonists beyond obesity?" Output: Table of Phase 2/3 trials for cardiovascular, NASH/MASH, kidney disease, Alzheimer's, addiction indications; partnership/collaboration map; market size projections by indication.

Example 2: Outbreak Intelligence

User: "Track the latest on H5N1 avian influenza in 2026" Output: WHO/CDC case counts, mammal spillover events, vaccine stockpile status, genomic surveillance findings, pandemic risk assessment tier.

Example 3: Health System Comparison

User: "Compare US, UK, and Singapore health systems on efficiency and outcomes" Output: Multi-indicator comparison table; spending vs. outcomes scatter analysis; key structural differences (funding model, gatekeeping, provider payment).

Data Base: references/health_sources.json — 12 authoritative data sources, 9 disease domains, 8 health system countries, drug development phase reference data. Last Updated: June 2026 Free Tier: Available. This skill aggregates public health intelligence; no proprietary data accessed. （内容由AI生成，仅供参考）

安全使用建议

Reasonable to install if you want research assistance for public health and biotech topics. Verify important medical, regulatory, or investment-sensitive conclusions against cited primary sources and professional advice, especially because the bundled reference data may become stale.

能力评估

✓ Purpose & Capability

The stated purpose is health and biotech intelligence using public sources; the capabilities, examples, and reference list all align with that purpose.

✓ Instruction Scope

Instructions focus on querying multiple public authoritative sources, cross-checking evidence, citing data vintage, and adding medical/regulatory disclaimers.

ℹ Install Mechanism

The package contains only a markdown skill file and a reference data file, with no executable scripts or dependency installs. The reference JSON has a trailing AI-generated disclaimer outside the JSON object, which is a quality/tooling issue rather than a security issue.

ℹ Credentials

Network research across public health, trial, literature, and regulatory sources is proportionate to the skill purpose; users should still treat health outputs as research support, not medical advice.

✓ Persistence & Privilege

No persistence, background workers, local indexing, privilege escalation, credential/session access, or mutation authority is requested.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install global-health-intel
安装完成后，直接呼叫该 Skill 的名称或使用 /global-health-intel 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Global-health-intel 1.0.0 – Initial Release - Introduces comprehensive health & biotech intelligence capabilities: disease outbreak tracking, clinical trials, drug pipeline, health system benchmarking, literature synthesis, regulatory/reimbursement analysis, longevity science, digital health/AI radar, vaccine monitoring, and policy comparison. - Structured workflow: automated query triage, parallel data gathering from official/global sources, cross-referencing, evidence grading (GRADE framework), and transparent output with citations. - Supports multiple output formats, incl. outbreak briefs, drug pipeline matrices, and health system comparison tables. - Usage guidelines emphasize source triangulation, timeliness, accessibility, and clear risk framing with a regulatory disclaimer. - Designed for global users: multi-language search/summarization and a focus on explainability for non-experts.

元数据

Slug global-health-intel

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题