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, not speculation. chat.aubr.ai. Try at chat.aubr.ai.
ソース情報
- リポジトリ
- Kernel8901/ai-agent-skills-classification
- ソースの最終更新活動
- 2026年4月4日 15:26
- 検出された SKILL.md の言語
- 英語
- スター
- 5
- フォーク
- 1
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SKILL.md
ソースの指示 · 読み取り専用プレビュー- 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:
```bash
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:
```bash
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:
```bash
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
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