clinicaltrials-skill
$
npx mdskill add openai/plugins/clinicaltrials-skillQuery ClinicalTrials.gov v2 API for concise study summaries and metadata.
- Enables agents to retrieve specific clinical trial data without overwhelming users.
- Integrates with ClinicalTrials.gov v2 API using a dedicated Python client script.
- Executes targeted searches based on user-provided query parameters and filters.
- Delivers compact markdown summaries or raw data files depending on request settings.
SKILL.md
.github/skills/clinicaltrials-skillView on GitHub ↗
---
name: clinicaltrials-skill
description: Submit compact ClinicalTrials.gov API v2 requests for study search, metadata, enums, search areas, and field statistics. Use when a user wants concise ClinicalTrials.gov summaries
---
## Operating rules
- Use `scripts/clinicaltrials_client.py` for all ClinicalTrials.gov v2 calls.
- Study searches are better with `max_items=10` and `max_pages=1`; only increase pages when the user explicitly wants more than the first page.
- Use targeted `params` instead of broad unfiltered study dumps.
- Re-run requests in long conversations instead of relying on older tool output.
- Treat displayed `...` in tool previews as UI truncation, not literal request content.
## Execution behavior
- Return concise markdown summaries from the script JSON by default.
- Prefer `action=studies` for search and `action=metadata|search_areas|enums|stats_size|field_values|field_sizes` for API introspection and field stats.
- If the user needs full pages or aggregated responses, set `save_raw=true` and report the saved file path.
## Input
- Read one JSON object from stdin.
- Required field: `action`
- Supported actions: `studies`, `metadata`, `search_areas`, `enums`, `stats_size`, `field_values`, `field_sizes`, `request`
- Optional fields: `path` for `action=request`, `params`, `max_items`, `max_depth`, `max_pages`, `timeout_sec`, `save_raw`, `raw_output_path`
- Common ClinicalTrials.gov patterns:
- `{"action":"studies","params":{"query.cond":"prostate cancer","filter.overallStatus":"RECRUITING","pageSize":10},"max_items":10,"max_pages":1}`
- `{"action":"metadata"}`
- `{"action":"field_values","params":{"field":"protocolSection.identificationModule.organization.fullName"}}`
## Output
- `action=studies` returns `pages_fetched`, `next_page_token`, count metadata, and compact `records`.
- Other actions return either compact `records` or a compact `summary`.
- Use `raw_output_path` when `save_raw=true`.
- Failure returns `ok=false` with `error.code` and `error.message`.
## Execution
```bash
echo '{"action":"studies","params":{"query.cond":"prostate cancer","filter.overallStatus":"RECRUITING","pageSize":10},"max_items":10,"max_pages":1}' | python scripts/clinicaltrials_client.py
```
## References
- No additional runtime references are required; keep the import package limited to this file and `scripts/clinicaltrials_client.py`.
More from openai/plugins
- accessibility-and-inclusive-visualizationMake data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.
- agent-browserBrowser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.
- agent-browser-verifyAutomated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass/fail before continuing.
- agents-sdkBuild AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
- ai-elementsAI Elements component library guidance — pre-built React components for AI interfaces built on shadcn/ui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.
- ai-gatewayVercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.
- ai-generation-persistenceAI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation
- ai-sdkVercel AI SDK expert guidance. Use when building AI-powered features — chat interfaces, text generation, structured output, tool calling, agents, MCP integration, streaming, embeddings, reranking, image generation, or working with any LLM provider.
- aiq-deploy|
- aiq-research|