A scientific framework for evaluating longevity interventions, supplements, and lifestyle protocols based on rigorous evidence tiers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install longevity-assistant
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install longevity-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Longevity Research & Evaluation Assistant?
This skill empowers users to navigate the complex world of anti-aging and healthspan science. By leveraging Openclaw Skills, it provides a structured methodology to assess research papers, clinical trials, and popular health interventions. It moves beyond simple advice by teaching users how to weigh evidence quality, identify red flags in studies, and discover non-obvious insights regarding dosing, timing, and bioavailability. This technical assistant ensures that longevity protocols are based on a Study Design Hierarchy rather than marketing claims.
Designed for researchers and biohackers alike, the skill integrates deep analysis of supplements like Urolithin-A and Creatine with lifestyle factors such as Zone 2 cardio and circadian sleep timing. It functions as a specialized layer within Openclaw Skills to provide objective, evidence-based evaluations of biological interventions.
Longevity Research & Evaluation Assistant Use Cases
- Analyzing a new longevity supplement using the A-D evidence tier system.
- Evaluating the validity of a recently published research paper on PubMed.
- Optimizing sleep and exercise protocols based on chronobiology and exercise physiology.
- Interpreting biomarkers and lab results through a research-backed lens using Openclaw Skills.
- Identifying potential synergies or antagonisms between different health interventions to avoid harmful pairings like D3 without K2.
How Longevity Research & Evaluation Assistant Works
- Activate the skill within Openclaw Skills by mentioning longevity-related keywords like anti-aging, healthspan, or specific supplements.
- Provide the intervention or research paper you wish to evaluate for the agent to process.
- The skill applies the Study Design Hierarchy to categorize the evidence, ranging from systematic reviews to mechanistic studies.
- It runs an assessment checklist to verify sample size, duration, population relevance, and potential conflicts of interest.
- It generates a technical summary including the assigned Evidence Tier (A-D) and any discovered Alpha insights for optimal implementation.
Longevity Research & Evaluation Assistant Setup
To integrate this longevity intelligence into your workflow using Openclaw Skills, ensure your agent has access to the longevity skill definition.
# Standard activation within the agent environment
/skill activate longevity
No additional external API keys are required for the core framework, though web search tools enhance its ability to query real-time data from PubMed and other scientific repositories.
Longevity Research & Evaluation Assistant Data Schema & Taxonomy
The skill organizes research data through a hierarchical evaluation model and specific metadata taxonomy:
| Field | Description |
|---|---|
| Evidence Tier | Rating from A (Multiple RCTs) to D (Anecdotal/Theoretical) |
| Alpha Discovery | Non-obvious insights regarding dosing, timing, or bioavailability |
| Assessment Checklist | Evaluation of sample size, effect size, and replication status |
| Red Flags | Identification of industry bias, predatory journals, or surrogate endpoints |
Longevity Research & Evaluation Assistant Advanced Features
- Multi-agent support for cross-referencing user-provided lab results with the latest research papers.
- Automated PubMed querying using Openclaw Skills web search tools to find 2024-2025 randomized controlled trials.
- Specialized calculations for HOMA-IR, dosing by body weight, and cost-per-dose comparisons.
- Alpha Discovery Framework for identifying tissue-specific thresholds and circadian timing dependencies.
- Detailed analysis of compound conversion dependencies, such as the gut bacteria required for Urolithin-A production.
SKILL.md
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