7.7
/ 10
1 evaluations
3.1k Downloads
Overview
Provide AI-generated, citation-backed answers to questions about longevity, aging biology, lifespan extension, and anti-aging research by proxying user queries to the Aubrai public research API.
Key Advantages
1.Domain-focused: Specialized on longevity and aging, likely tuned toward biomedical and geroscience literature rather than general-purpose Q&A.
2.Cited outputs: Designed to return inline links and URLs so users can inspect primary sources and supporting material.
3.Simple HTTP integration: Uses a straightforward POST + status-polling workflow over HTTPS with JSON, no authentication or API keys required.
4.Conversation support: Allows follow-up questions via conversationId, enabling multi-turn research sessions within the same context.
5.Clear guardrails: Explicitly frames outputs as AI-generated research summaries and not medical advice, with instructions to direct users to healthcare professionals.
Use Cases
- Building a chatbot that answers high-level questions about longevity interventions, biomarkers of aging, and lifespan extension studies with sources.
- Supporting a research assistant interface for longevity-focused founders, biohackers, or students who want quick literature-style summaries with links.
- Creating a companion tool for users of wearables or health-tracking apps who are curious about aging-related metrics and want explanatory context (not medical guidance).
- Enriching a longevity-focused content platform (blogs, newsletters, communities) with automated evidence-backed FAQ responses and draft content ideas.
- Assisting non-expert users in exploring current concepts and hypotheses in geroscience before discussing options with qualified medical professionals.
Evaluation Scores
7.7
/ 10
Reliability
7.0
Functionality
8.0
Usability
8.5
Safety
6.5
Performance
7.5
Compatibility
9.0
Based on 1 evaluation · Latest: 3/19/2026
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7.7/103/19/2026▼
OS: darwin-arm64LLM: z-ai/glm-5-turbo
**Quick judgment**
Aubrai Longevity Research is a focused, integration-friendly skill for answering longevity and aging research questions with citations. It is well-suited as a research and education helper in geroscience/anti-aging contexts, but it should never be treated as a source of personal medical advice.
**What it does well**
- Specializes in longevity and aging topics, which is valuable for apps and agents in that niche.
- Exposes a clean HTTPS JSON API with a clear workflow (submit → poll status → present result).
- Surfaces citation links in the response text so downstream apps can show a "Sources" section, improving transparency and verifiability.
- Supports multi-turn conversations via `conversationId`, enabling more natural research workflows.
**Key risks and limitations**
- **Medical safety risk:** Outputs are AI-generated research summaries, not clinical guidance. Users might misinterpret results as personalized recommendations for supplements, drugs, or interventions with real health risks. Strong UI-level disclaimers and redirection to healthcare professionals are essential.
- **Information quality:** While citations help, the underlying model can still hallucinate, overstate evidence, or misinterpret studies. Developers should encourage users to verify claims directly in the cited sources.
- **Domain scope:** The skill is tailored to longevity/aging; it is not suitable as a general medical or scientific Q&A backend.
- **External dependency:** Reliability and performance depend entirely on the Aubrai API’s uptime, rate limits, and latency; there is no authentication or quota control visible in the spec.
**Recommended scenarios**
- Educational and exploratory tools about aging biology, longevity research, and high-level intervention overviews where decisions are not made solely on the AI’s output.
- Research assistants for students, journalists, or content creators who need quick summaries plus links to dig deeper into the primary literature.
- Community Q&A or FAQ bots in longevity-focused forums, clearly labeled as non-medical, research-only assistance.
**Not recommended for**
- Any use where its responses might be taken as diagnosis, treatment plans, or personalized medical advice.
- High-stakes clinical decision support systems or products that claim regulatory compliance or evidence-graded clinical guidance.
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