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madeyexz

Longevity OS

by madeyexz · GitHub ↗ · v0.1.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install longevity-os
Description
Meta-skill for the Longevity OS bundle that routes natural language health conversations to the right capability — nutrition logging, health profile, pattern...
README (SKILL.md)

Compound Clawskill

Use this skill when:

  • the user wants an overview of everything available in this repository
  • the user wants to know how to install the bundled skills in this directory
  • the user sends a health-related message that could be handled by one of the sub-skills
  • the user wants links to the repository or the bundled skills/ directory

Natural language routing:

The agent should understand user intent from natural conversation and route to the right sub-skill without requiring slash commands. Examples:

  • "had chicken and rice for lunch" → route to snap (meal logging)
  • "I want to improve my sleep" → route to health (profile update)
  • "why have I been sleeping poorly?" → route to insights (pattern discovery)
  • "any longevity news today?" → route to news (digest)
  • "how's my nutrition looking this week?" → route to snap (weekly summary)

Slash commands (/snap, /health, /news, /insights) are supported as legacy shortcuts, but the primary interaction mode is natural language.

Repository links:

  • repo root: https://github.com/compound-life-ai/longClaw/tree/main
  • skills directory: https://github.com/compound-life-ai/longClaw/tree/main/skills
  • install guide entry point: https://github.com/compound-life-ai/longClaw/blob/main/README.md

When helping the user:

  1. Explain that this repository is a multi-skill OpenClaw bundle, not just a single skill.
  2. Fetch and summarize how installation works from README.md and docs/install.md.
  3. Inspect the skill definitions under skills/ to explain features, functionality, and usage.
  4. Point the user to the most relevant subskill instead of answering only at a high level when a specific workflow is clearly a better fit.
  5. Mention the repository links above so the user can fetch the directory directly.

Install summary:

  1. Clone https://github.com/compound-life-ai/longClaw.
  2. Change into the repository.
  3. Run python3 scripts/install_bundle.py.
  4. Run python3 scripts/install_bundle.py --verify.
  5. Start a fresh OpenClaw session.
  6. Verify that /snap, /health, /news, /insights, and daily-coach are available.

Bundle map:

  • snap: meal logging from food photos or meal text, with ingredient-level decomposition and deterministic nutrition enrichment
  • health: Apple Health XML import plus structured questionnaire-style health profile updates
  • news: curated daily digest for health, longevity, nutrition, sleep, exercise, and aging topics
  • insights: structured self-experiments, check-ins, analysis, and gap-aware recommendations
  • daily-coach: cron-oriented daily health coaching message built from nutrition, health, experiment, and curated news context

What to inspect for details:

  • README.md for installation, verification, cron setup, and bundle-level architecture
  • docs/install.md for the direct install workflow
  • skills/snap/SKILL.md for meal logging behavior and payload shape
  • skills/health/SKILL.md for Apple Health import and questionnaire flows
  • skills/news/SKILL.md for curated digest behavior
  • skills/insights/SKILL.md for experiment creation, check-ins, and analysis
  • skills/daily-coach/SKILL.md for the scheduled coaching workflow

If the user asks what this repository does overall, explain that it is a local-first personal health companion bundle for OpenClaw with nutrition logging, health profile building, curated health news, structured self-experimentation, and a cron-driven daily coaching workflow.

Usage Guidance
This package is instruction-only and references many files and scripts that are not included. Do not blindly run install commands from an unknown source. Before cloning or running anything: (1) inspect the remote GitHub repo contents (confirm scripts/, skills/, seed/, docs/) and open scripts/install_bundle.py to see exactly what it does; (2) review any installer or cron templates for network endpoints, uploads, or telemetry; (3) avoid running installers as root and run them in a sandbox or VM if possible; (4) verify that the repo maintainer is trustworthy and the repo content matches the bundle's claims; (5) if you want this skill to be installed, ask for the missing subskill files (skills/) or request that the publisher include the actual scripts in the package so you can review them locally before executing.
Capability Analysis
Type: OpenClaw Skill Name: longevity-os Version: 0.1.1 The bundle requires high-privilege operations, including instructions for the AI agent to execute a local Python installer (scripts/install_bundle.py), modify the core OpenClaw configuration file (openclaw.json), and establish persistence via cron jobs. While these actions are documented as necessary for the 'Longevity OS' health platform, the pattern of requesting an agent to perform system-level modifications and arbitrary script execution represents a significant security risk. No explicit evidence of malicious intent, such as data exfiltration or credential theft, was found in the provided markdown or metadata files.
Capability Assessment
Purpose & Capability
The description promises a multi-skill 'Longevity OS' bundle (snap, health, news, insights, daily-coach) but the package contains only an instruction file (SKILL.md) and README.md. The runtime instructions repeatedly reference scripts/, skills/, docs/install.md, seed/, and other files that are not included in the published skill. Requiring no env vars or binaries is inconsistent with an installer that expects to run Python install scripts and configure cron/Telegram integration.
Instruction Scope
SKILL.md tells the agent/user to clone the GitHub repo, run python3 scripts/install_bundle.py (with verify), copy seed data, edit cron templates (including inserting a Telegram DM chat id), and inspect local OpenClaw config (~/.openclaw/openclaw.json). Those actions involve downloading and executing code from a remote repo and reading/writing local config and cron entries. Many referenced files (docs/install.md, skills/*, scripts/*, seed/*) are not present in the packaged skill, so following the instructions would require fetching external content and running it locally.
Install Mechanism
There is no explicit install spec in the registry (instruction-only), which is lower technical risk for the package itself. However, the instructions direct the user to clone and run code from the GitHub repo (python3 scripts/install_bundle.py). That implies executing remotely-hosted code not shipped in the skill — a higher-risk install path if the external repo or scripts are unreviewed.
Credentials
The skill declares no required env vars or credentials, yet the instructions expect access to local OpenClaw config (~/.openclaw/openclaw.json), cron, and Telegram DM configuration (chat id). It also asks the user to seed local data directories and register extra skills paths. Reading/writing those local configs and scheduling cron jobs are reasonable for an installer, but the skill did not declare them and the actual scripts that would perform them are not present for review — this mismatch increases risk.
Persistence & Privilege
The skill is not marked always:true and doesn't attempt to modify other skills in its metadata. The instructions do ask the user to register the bundle with OpenClaw (skills.load.extraDirs) and to add cron jobs, which are expected for a bundle installer, but those operations would be performed by external scripts or manual steps, not by the packaged skill itself.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install longevity-os
  3. After installation, invoke the skill by name or use /longevity-os
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.1
- Adds README.md for installation and usage reference. - Updates meta-skill to “Longevity OS” and emphasizes natural language routing to subskills instead of slash-only commands. - Clarifies agent behavior: now primarily interprets and routes health-related natural language input to the most relevant capability (meal logging, health profile, insights, news, daily coaching). - Improves user guidance by providing direct repository links and installation summaries.
v0.1.0
Initial release of the compound-clawskill meta-skill for longevity-os. - Introduces a centralized overview of the compound-clawskill bundle and its capabilities. - Guides users on how to install all bundled skills, with summarized installation steps and repository links included. - Provides clear routing to specific subskills for health, nutrition, news, self-experimentation, and daily coaching tasks. - Includes direct links to the repository root and skills directory for easy exploration. - Explains how each subskill functions and when to use them within the broader longevity-os bundle.
Metadata
Slug longevity-os
Version 0.1.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Longevity OS?

Meta-skill for the Longevity OS bundle that routes natural language health conversations to the right capability — nutrition logging, health profile, pattern... It is an AI Agent Skill for Claude Code / OpenClaw, with 225 downloads so far.

How do I install Longevity OS?

Run "/install longevity-os" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Longevity OS free?

Yes, Longevity OS is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Longevity OS support?

Longevity OS is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Longevity OS?

It is built and maintained by madeyexz (@madeyexz); the current version is v0.1.1.

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