A specialized AI research engine designed to answer complex questions about longevity and lifespan extension using cited scientific sources.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aubrai-longevity
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install aubrai-longevity using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Aubrai Longevity Research?
Aubrai Longevity Research is a powerful technical tool that integrates the Aubrai public API to provide evidence-based insights into the science of aging. This skill allows users to query vast amounts of research data regarding anti-aging breakthroughs, cellular biology, and lifespan extension without the need for an API key. By incorporating this into your repertoire of Openclaw Skills, you can transform a standard AI agent into a sophisticated research assistant capable of navigating academic citations and clinical trial summaries.
This skill is built for accuracy and transparency, ensuring that every claim regarding longevity is backed by traceable source URLs. It serves as a bridge between the user and high-level biological research, making it easier than ever to track developments in senolytics, genomic stability, and metabolic health. As part of the growing ecosystem of Openclaw Skills, it provides a seamless, developer-friendly way to access complex longevity data through simple HTTPS requests.
Aubrai Longevity Research Use Cases
- Investigating the current clinical status of anti-aging compounds like NAD+ precursors or Rapamycin.
- Summarizing recent academic papers on cellular senescence and mitochondrial health.
- Building health-focused AI agents that require verified scientific citations for longevity-related queries.
- Tracking emerging trends and breakthroughs in the field of human lifespan extension research.
How Aubrai Longevity Research Works
- The user provides a research question which is sent via a POST request to the Aubrai API.
- The system assigns a unique requestId and conversationId to manage the asynchronous research task.
- The skill performs a polling operation every 5 seconds to monitor the status of the query until completion.
- Upon completion, the skill retrieves the full text response, which includes inline Markdown citations.
- The citations are automatically extracted and appended to a dedicated Sources section for transparency.
- For follow-up questions, the skill utilizes the conversationId to maintain context and allow for deep-dive research sessions.
Aubrai Longevity Research Setup
Integrating this skill into your Openclaw Skills workflow is straightforward as it requires no authentication. You can initiate a query using a standard curl command:
jq -n --arg msg "USER_RESEARCH_QUESTION" '{"message":$msg}' | \
curl -sS -X POST https://apis.aubr.ai/api/chat \
-H "Content-Type: application/json" \
--data-binary @-
To retrieve the research results, poll the status endpoint using the requestId obtained from the initial step:
curl -sS "https://apis.aubr.ai/api/chat/status/${REQUEST_ID}"
Aubrai Longevity Research Data Schema & Taxonomy
The skill manages research data using a structured JSON schema to ensure consistency across queries and sessions.
| Property | Description |
|---|---|
requestId |
A unique identifier used to poll for the completion of a specific research query. |
conversationId |
An identifier that allows the AI to remember context for follow-up questions. |
result.text |
The main answer body containing Markdown-formatted research summaries and inline links. |
status |
The current lifecycle state of the research task (e.g., completed, processing). |
Aubrai Longevity Research Advanced Features
- Context-Aware Research: Leverage conversationId to perform multi-turn analysis on specific longevity topics while maintaining scientific context.
- Zero-Config Integration: One of the few Openclaw Skills that works out-of-the-box without requiring API keys or complex secret management.
- Automatic Bibliography Generation: Systematically extracts and lists all academic sources at the end of every response for easier verification.
- Integrated Research Guardrails: Automatically includes safety disclaimers to ensure users differentiate scientific research from medical advice.
SKILL.md
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