pubmed-search
Search PubMed biomedical literature with natural language queries powered by Valyu semantic search. Full-text access, integrate into your AI projects.
- License 许可
- MIT
- 最近更新
- 2026-11-07
- Stars
- ★ 11
- Forks
- 5
01 前言 Front Matter
- name
- pubmed-search
- license
- MIT
- keywords
- [ "pubmed", "biomedical-literature", "medical-research", "semantic-search", "natural-language-queries", "full-text-search", "research-integration" ]
- description
- Search PubMed biomedical literature with natural language queries powered by Valyu semantic search. Full-text access, integrate into your AI projects.
02 资源文件 2
- 脚本scripts/search408 B
- 脚本scripts/search.mjs3.7 KB
03 SKILL.md 正文
PubMed Search
Search the complete PubMed database of biomedical literature using natural language queries powered by Valyu's semantic search API.
Why This Skill is Powerful
- No API Parameter Parsing: Just pass natural language queries directly - no need to construct complex search parameters
- Semantic Search: Understands the meaning of your query, not just keyword matching
- Full-Text Access: Returns complete article content, not just abstracts
- Image Links: Includes figures and images from papers
- Comprehensive Coverage: Access to all of PubMed's biomedical literature
Requirements
- Node.js 18+ (uses built-in fetch)
- Valyu API key from https://platform.valyu.ai ($10 free credits)
CRITICAL: Script Path Resolution
The scripts/search commands in this documentation are relative to this skill's installation directory.
Before running any command, locate the script using:
PUBMED_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/pubmed-search/*/scripts/*" -type f 2>/dev/null | head -1)
Then use the full path for all commands:
$PUBMED_SCRIPT "CRISPR gene editing" 15
API Key Setup Flow
When you run a search and receive "setup_required": true, follow this flow:
-
Ask the user for their API key: "To search PubMed, I need your Valyu API key. Get one free ($10 credits) at https://platform.valyu.ai"
-
Once the user provides the key, run:
scripts/search setup <api-key> -
Retry the original search.
Example Flow:
User: Search PubMed for CAR-T cell therapy advances
→ Response: {"success": false, "setup_required": true, ...}
→ Claude asks: "Please provide your Valyu API key from https://platform.valyu.ai"
→ User: "val_abc123..."
→ Claude runs: scripts/search setup val_abc123...
→ Response: {"success": true, "type": "setup", ...}
→ Claude retries: scripts/search "CAR-T cell therapy advances" 10
→ Success!
Usage
Basic Search
scripts/search "your natural language query" [maxResults]
Examples
# Search for recent COVID-19 research
scripts/search "COVID-19 vaccine efficacy studies" 15
# Find papers on a specific gene
scripts/search "BRCA1 mutations and breast cancer risk" 20
# Search for treatment approaches
scripts/search "immunotherapy for melanoma clinical trials" 10
# Drug mechanism research
scripts/search "mechanism of action of metformin in type 2 diabetes" 12
Setup Command
scripts/search setup <api-key>
Output Format
{
"success": true,
"type": "pubmed_search",
"query": "CRISPR gene editing",
"result_count": 10,
"results": [
{
"title": "Article Title",
"url": "https://pubmed.ncbi.nlm.nih.gov/...",
"content": "Full article text with figures...",
"source": "pubmed",
"relevance_score": 0.95,
"images": ["https://example.com/figure1.jpg"]
}
],
"cost": 0.025
}
Processing Results
With jq
# Get article titles
scripts/search "query" 10 | jq -r '.results[].title'
# Get URLs
scripts/search "query" 10 | jq -r '.results[].url'
# Extract full content
scripts/search "query" 10 | jq -r '.results[].content'
Common Use Cases
Literature Review
# Find all papers on a topic
scripts/search "mechanisms of aging in humans" 50
Drug Discovery
# Search for drug targets
scripts/search "novel targets for Alzheimer's disease treatment" 20
Clinical Research
# Find clinical trial results
scripts/search "phase 3 trials for rheumatoid arthritis biologics" 15
Gene Function
# Research gene function
scripts/search "role of TP53 in cancer development" 25
Error Handling
All commands return JSON with success field:
{
"success": false,
"error": "Error message"
}
Exit codes:
0- Success1- Error (check JSON for details)
API Endpoint
- Base URL:
https://api.valyu.ai/v1 - Endpoint:
/search - Authentication: X-API-Key header
Architecture
scripts/
├── search # Bash wrapper
└── search.mjs # Node.js CLI
Direct API calls using Node.js built-in fetch(), zero external dependencies.
Adding to Your Project
If you're building an AI project and want to integrate PubMed search directly into your application, use the Valyu SDK:
Python Integration
from valyu import Valyu
client = Valyu(api_key="your-api-key")
response = client.search(
query="immunotherapy for melanoma",
included_sources=["valyu/valyu-pubmed"],
max_results=20
)
for result in response["results"]:
print(f"Title: {result['title']}")
print(f"URL: {result['url']}")
print(f"Content: {result['content'][:500]}...")
TypeScript Integration
import { Valyu } from "valyu-js";
const client = new Valyu("your-api-key");
const response = await client.search({
query: "immunotherapy for melanoma",
includedSources: ["valyu/valyu-pubmed"],
maxResults: 20
});
response.results.forEach((result) => {
console.log(`Title: ${result.title}`);
console.log(`URL: ${result.url}`);
console.log(`Content: ${result.content.substring(0, 500)}...`);
});
See the Valyu docs for full integration examples and SDK reference.
04 同仓库更多 Skills
xhs-pharma-social-listening
Run evidence-disciplined Xiaohongshu social listening for foreign pharma employee pain points. Use when the user asks to collect and analyze notes/comments about pharma companies, aliases, roles, compliance, medical affairs, or AI topics, then produce a cited and scored sampled-insight report. Includes independent-evidence counting, MediaCrawler batch collection, and CAPTCHA/461 fallback to Agent Reach/OpenCLI.
healthcare-phi-compliance
Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors. Use when code touches PHI or PII in a healthcare system, or when auditing access control, audit trails, or leak vectors.
healthcare-eval-harness
Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures. Use when a healthcare deployment must be gated on patient-safety tests for CDSS accuracy, PHI exposure, and workflow integrity.
healthcare-emr-patterns
EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry. Use when building EMR or EHR features such as encounter workflows, prescription generation, or clinical data entry UI.
healthcare-cdss-patterns
Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows. Use when building clinical decision support — drug interaction checks, dose validation, clinical scoring, or alert severity.
dxy-task-clarify
用户的请求含糊、缺背景、缺资料说明、缺读者或用途时使用。先用少量带选项的追问把任务问清楚,写成任务卡,用户确认后再执行。尤其适用于医生、科研人员和药企各岗位的工作,例如「帮我分析一下这些数据」「帮我准备明天的拜访」「写个总结」「做个 PPT」「回一下这封邮件」「整理一下会议纪要」「整理一下这些文献」「帮我准备下周的讲课」「写个病例汇报」「帮我写个提示词」。用户说「先问我」「帮我理清需求」「我不知道怎么描述」「我不会问 AI」时也使用。用途、资料、读者都已说清的请求,纯翻译,以及写代码、改代码,不使用。