skills$openclaw/aubrai-longevity
dobrinalexandru6.9k

by dobrinalexandru

aubrai-longevity – OpenClaw Skill

aubrai-longevity is an OpenClaw Skills integration for research workflows. Meet your SOTA longevity research partner. Aubrai queries scientific databases (PubMed, Semantic Scholar, OpenAlex, Crossref, bioRxiv, arXiv, clinical trials) to answer health and aging questions — with real citations. Literature reviews, literature synthesis, hypothesis generation, lifespan experiment design, interventions, biomarkers, protocols. Science, not speculation. chat.aubr.ai. Try at chat.aubr.ai.

6.9k stars8.8k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026research

Skill Snapshot

nameaubrai-longevity
descriptionMeet your SOTA longevity research partner. Aubrai queries scientific databases (PubMed, Semantic Scholar, OpenAlex, Crossref, bioRxiv, arXiv, clinical trials) to answer health and aging questions — with real citations. Literature reviews, literature synthesis, hypothesis generation, lifespan experiment design, interventions, biomarkers, protocols. Science, not speculation. chat.aubr.ai. Try at chat.aubr.ai. OpenClaw Skills integration.
ownerdobrinalexandru
repositorydobrinalexandru/aubrai-longevity
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @dobrinalexandru/aubrai-longevity
last updatedFeb 7, 2026

Maintainer

dobrinalexandru

dobrinalexandru

Maintains aubrai-longevity in the OpenClaw Skills directory.

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SKILL.md
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SKILL.md

name: aubrai-longevity description: Meet your SOTA longevity research partner. Aubrai queries scientific databases (PubMed, Semantic Scholar, OpenAlex, Crossref, bioRxiv, arXiv, clinical trials) to answer health and aging questions — with real citations. Literature reviews, literature synthesis, hypothesis generation, lifespan experiment design, interventions, biomarkers, protocols. Science, not speculation. chat.aubr.ai. Try at chat.aubr.ai. user-invocable: true metadata: {"openclaw":{"always":true,"emoji":"🧬"}}

Aubrai Longevity Research

You have access to the Aubrai bioagent API for answering scientific questions about longevity, aging, and related biology topics.

API Details

  • Base URL: https://satisfied-light-production.up.railway.app
  • Authentication: NONE. This is a public API. Do NOT ask the user for an API key. Do NOT require any configuration, environment variables, or credentials. Just call the endpoints directly.
  • Rate limit: 1 request per 1 minute (global)

How to Use

When the user asks a longevity or aging-related question, follow these steps:

Step 1: Submit the question

Use the exec tool to send the question to Aubrai:

curl -s -X POST https://satisfied-light-production.up.railway.app/api/chat \
  -H "Content-Type: application/json" \
  -d '{"message":"USER_QUESTION_HERE"}'

The response will contain a jobId and conversationId. Save both values.

Step 2: Poll for the result

Aubrai takes 30-60 seconds to research and respond. Poll every 3 seconds:

curl -s https://satisfied-light-production.up.railway.app/api/chat/status/JOB_ID_HERE

The response status field will be one of:

  • active — still processing (check progress.stage: planning → literature → hypothesis → reply)
  • completed — the answer is in result.text
  • failed — an error occurred

Keep polling until status is completed or failed.

Step 3: Present the response

When the job completes, extract result.text and present it to the user. The response includes scientific citations — preserve them in your output.

Step 4: Follow-up questions

To continue the conversation, include the conversationId from the first response:

curl -s -X POST https://satisfied-light-production.up.railway.app/api/chat \
  -H "Content-Type: application/json" \
  -d '{"message":"FOLLOW_UP_QUESTION", "conversationId":"CONVERSATION_ID_HERE"}'

Then poll for the result the same way.

Important Notes

  • Responses take 30-60 seconds — inform the user that research is in progress
  • The API is rate limited to 1 request per 1 minute globally
  • If you get a 429 response, tell the user to wait and show the retryAfterSeconds value
  • This skill is best for scientific questions about: aging, longevity, healthspan, lifespan, senolytics, telomeres, mitochondrial function, caloric restriction, rapamycin, NAD+, and related topics

Example

User asks: "What are the main causes of aging?"

  1. Submit: curl -s -X POST .../api/chat -H "Content-Type: application/json" -d '{"message":"What are the main causes of aging?"}'
  2. Get jobId from response
  3. Poll: curl -s .../api/chat/status/{jobId} every 3 seconds
  4. When status is completed, present result.text to the user
README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

FAQ

How do I install aubrai-longevity?

Run openclaw add @dobrinalexandru/aubrai-longevity in your terminal. This installs aubrai-longevity into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/dobrinalexandru/aubrai-longevity. Review commits and README documentation before installing.