L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Design et création · SKILL.md

aubrai-longevity

aubrai-longevity

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, …

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

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
Skills enregistrées