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2507
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Install in OpenClaw
/install morning-routine
Description
Build a powerful morning routine with habit checklists, timing, and streak tracking
Usage Guidance
This skill appears coherent and low-risk on its surface, but ask the publisher/developer to clarify two things before installing or enabling autonomous invocation: (1) exactly where and how routine data is stored (file path, local database, agent memory) and how long it persists, and (2) whether any telemetry, backups, or cloud sync are ever used. If you require guaranteed local-only storage, require the skill to specify a writable local path and to provide an option to export/delete your data. Avoid enabling long-lived/autonomous runs until you confirm those details.
Capability Analysis
Type: OpenClaw Skill
Name: morning-routine
Version: 1.0.0
The provided skill bundle contains only metadata and a `SKILL.md` file. The `SKILL.md` clearly defines a 'morning routine' skill with features like habit tracking and streak management. There are no instructions for the AI agent that suggest prompt injection, data exfiltration, unauthorized execution, or any other malicious activity. Furthermore, the documentation explicitly states, 'All data stays local on your machine. Your routine data never leaves your device. No cloud sync, no tracking, no third parties—just you and your habits,' indicating a clear intent against data exfiltration.
Capability Assessment
Purpose & Capability
Name and description match the instructions: defining/checking habits, timing, streaks, and adaptation. The skill requests no binaries, env vars, or external services, which is proportionate to a self-contained habit tracker.
Instruction Scope
SKILL.md tells the agent to guide the user, log completion times, save changes, and generate adaptation suggestions. It does not specify where data is saved (file path, database, or agent memory), how long data persists, or how timing/reminders run in the background. The claim 'All data stays local on your machine' is not enforced or explained, creating ambiguity that could lead to different runtime behaviors depending on the agent implementation.
Install Mechanism
Instruction-only skill with no install spec and no code files — minimal disk footprint and no third-party packages requested.
Credentials
No environment variables, credentials, or config paths are required. This is appropriate for a simple local habit tracker.
Persistence & Privilege
always is false and the skill can be invoked autonomously (default). Autonomous invocation is expected and not concerning here, but because the skill promises local-only storage, you should confirm how and where it persists data before granting prolonged/autonomous use.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install morning-routine - After installation, invoke the skill by name or use
/morning-routine - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Morning Routine skill:
- Create and track personalized morning habit checklists.
- Monitor time spent on each habit and overall routine completion.
- Build streaks and view consistency reports based on habit completion.
- Adapt and customize your routine with flexible habit management.
- All data remains local for privacy—no cloud sync or third-party tracking.
Metadata
Frequently Asked Questions
What is Morning Routine?
Build a powerful morning routine with habit checklists, timing, and streak tracking. It is an AI Agent Skill for Claude Code / OpenClaw, with 2507 downloads so far.
How do I install Morning Routine?
Run "/install morning-routine" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Morning Routine free?
Yes, Morning Routine is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Morning Routine support?
Morning Routine is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Morning Routine?
It is built and maintained by jhillin8 (@jhillin8); the current version is v1.0.0.
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