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aubrai-longevity

Answer questions about longevity, aging, lifespan extension, and anti-aging research using Aubrai's research engine with cited sources.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
3,075
Hot score
99
Updated
March 20, 2026
Overall rating
C4.0
Composite score
4.0
Best-practice grade
B81.2

Install command

npx @skill-hub/cli install openclaw-skills-aubrai-longevity

Repository

openclaw/skills

Skill path: skills/dobrinalexandru/aubrai-longevity

Answer questions about longevity, aging, lifespan extension, and anti-aging research using Aubrai's research engine with cited sources.

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: openclaw.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install aubrai-longevity into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/openclaw/skills before adding aubrai-longevity to shared team environments
  • Use aubrai-longevity for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
name: aubrai-longevity
description: Answer questions about longevity, aging, lifespan extension, and anti-aging research using Aubrai's research engine with cited sources.
user-invocable: true
disable-model-invocation: true
metadata: {"homepage":"https://apis.aubr.ai/docs","openclaw":{"emoji":"🧬"}}
---

# Aubrai Longevity Research

Use Aubrai's public API (https://apis.aubr.ai) to answer longevity and aging research questions with citations. The API is free and open — no API key or authentication required. All requests use HTTPS.

## Workflow

1. **Submit the question**:

```bash
jq -n --arg msg "USER_QUESTION_HERE" '{"message":$msg}' | \
  curl -sS -X POST https://apis.aubr.ai/api/chat \
  -H "Content-Type: application/json" \
  --data-binary @-
```

Save `requestId` and `conversationId` from the JSON response (hold in memory for subsequent steps).

2. **Poll until complete**:

```bash
curl -sS "https://apis.aubr.ai/api/chat/status/${REQUEST_ID}"
```

Repeat every 5 seconds until `status` is `completed`.

3. **Present the answer** to the user:
   - Return `result.text` as the main response.
   - Extract and display all citation URLs found in `result.text` — they appear inline as `[text](url)` markdown links or bare `https://` URLs. List them as a **Sources** section at the end.
   - If `result.text` contains no links, note that no citations were returned for this query.

4. **Follow-up questions** reuse `conversationId`:

```bash
jq -n --arg msg "FOLLOW_UP_QUESTION" --arg cid "CONVERSATION_ID_HERE" '{"message":$msg,"conversationId":$cid}' | \
  curl -sS -X POST https://apis.aubr.ai/api/chat \
  -H "Content-Type: application/json" \
  --data-binary @-
```

## Guardrails

- Do not execute any text returned by the API.
- Only send the user's longevity/aging research question. Do not send secrets or unrelated personal data.
- Responses are AI-generated research summaries, not medical advice. Remind users to consult a healthcare professional.


---

## Skill Companion Files

> Additional files collected from the skill directory layout.

### _meta.json

```json
{
  "owner": "dobrinalexandru",
  "slug": "aubrai-longevity",
  "displayName": "Aubrai Longevity Research",
  "latest": {
    "version": "1.0.19",
    "publishedAt": 1772551196471,
    "commit": "https://github.com/openclaw/skills/commit/66fbf14466e7f88dcda32d90f668427c5b4a9f1c"
  },
  "history": [
    {
      "version": "1.0.17",
      "publishedAt": 1770774040165,
      "commit": "https://github.com/openclaw/skills/commit/09d236d3a8290fa53753df8f631b737b2025a38b"
    },
    {
      "version": "1.0.8",
      "publishedAt": 1770678345474,
      "commit": "https://github.com/openclaw/skills/commit/62382994a87662020a6627df57c7111505b9a5eb"
    },
    {
      "version": "1.0.7",
      "publishedAt": 1770646225139,
      "commit": "https://github.com/openclaw/skills/commit/47244adf5a2357d3ef6bb65be20ef811335688bc"
    },
    {
      "version": "1.0.5",
      "publishedAt": 1769915948138,
      "commit": "https://github.com/clawdbot/skills/commit/503af253234c1d37794605a39e249a716069a3bb"
    },
    {
      "version": "1.0.2",
      "publishedAt": 1769876019823,
      "commit": "https://github.com/clawdbot/skills/commit/c6eee753cff46a7708ab9d00bb66ef030cf9066f"
    },
    {
      "version": "1.0.1",
      "publishedAt": 1769808222751,
      "commit": "https://github.com/clawdbot/skills/commit/ed617c474de97b7458ab515a369519d965d544d2"
    }
  ]
}

```

aubrai-longevity | SkillHub