Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Aubrai Longevity Research
Answer questions about longevity, aging, lifespan extension, and anti-aging research using Aubrai's research engine with cited sources.
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Answer questions about longevity, aging, lifespan extension, and anti-aging research using Aubrai's research engine with cited sources.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- _meta.json, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.19
Provenance
- Publisher
- DobrinAlexandru
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 โ no API key or authentication required. All requests use HTTPS.
Workflow
Submit the question: jq -n --arg msg "USER_QUESTION_HERE" '{"message":$msg}' | \ curl -sS -X POST https://apis.aubr.ai/api/chat \ -H "Content-Type: application/json" \ --data-binary @- Save requestId and conversationId from the JSON response (hold in memory for subsequent steps). Poll until complete: curl -sS "https://apis.aubr.ai/api/chat/status/${REQUEST_ID}" Repeat every 5 seconds until status is completed. Present the answer to the user: Return result.text as the main response. Extract and display all citation URLs found in result.text โ 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. Follow-up questions reuse conversationId: 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.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Config
- SKILL.md
- _meta.json