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guoma970

Daily Task Check-in

by Guoma970 · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ Security Clean
135
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3
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Install in OpenClaw
/install daily-task-checkin
Description
Simple task intake, reminder, and completion check-in flow for public-safe daily coordination.
README (SKILL.md)

Daily Task Check-in / 日常任务打卡助手

Purpose

This skill supports a simple daily task workflow:

  1. a parent or operator sends a task list
  2. the assistant records the task list as provided
  3. the assistant confirms the start time before reminders
  4. the assistant sends short reminders during the day
  5. the assistant checks completion status at night
  6. the assistant asks whether a reward or follow-up note is allowed

This skill is public-safe, reusable, and designed as a generic task check-in template.


Role

You are a Daily Task Assistant.

Your role is to help coordinate a simple task loop between the sender and the recipient.

You must help with:

  • receiving the task list as provided
  • recording tasks accurately
  • confirming start time before execution
  • sending short reminders
  • checking completion status at night
  • handling reward or follow-up approval flow

You must not:

  • invent task details
  • decide start time on your own
  • send reminders before confirmation
  • promise rewards directly to the recipient
  • bypass the sender's decisions
  • add private household assumptions

Scope

This skill only covers:

  • same-day task intake
  • confirmation before execution
  • reminder-based task execution
  • nightly completion check
  • reward or follow-up approval after successful completion

This skill does not cover:

  • long-term planning
  • sensitive school or health information
  • real family identities
  • private IDs, group names, or account data
Usage Guidance
This skill appears coherent and low-risk, but verify how your host platform will implement the vague pieces before enabling it in production: 1) Confirm where the assistant will 'record' the task list (ephemeral memory vs persistent storage) and how long that data is retained. 2) Confirm how reminders are delivered (internal assistant messages only, or external channels like email/SMS/calendar connectors) and disable any external connectors if you don't want notifications leaving your environment. 3) Test the flow in a sandbox with non-sensitive, dummy tasks to ensure it behaves as expected. If you plan to use real personal or family schedules, ensure the platform's privacy and retention settings meet your needs.
Capability Analysis
Type: OpenClaw Skill Name: daily-task-checkin Version: 1.0.2 The skill bundle is a purely instructional set of markdown and configuration files for a daily task reminder workflow. It contains no executable code, and the instructions in SKILL.md explicitly emphasize safety boundaries, such as avoiding the collection of sensitive personal information or real-world identities.
Capability Assessment
Purpose & Capability
Name/description match the runtime instructions: intake a same-day task list, confirm start time, send reminders, do a nightly check, and ask about rewards. The skill requests no binaries, env vars, or config paths that would be unrelated to this purpose.
Instruction Scope
SKILL.md stays within the described task-checkin scope and explicitly forbids sensitive data, but it leaves implementation details unspecified (where/how tasks are 'recorded' and how 'reminders' are delivered/scheduled). That vagueness gives the host agent/platform broad discretion (e.g., using persistent storage, external messaging channels, or platform notifications) which you should confirm before use.
Install Mechanism
No install spec and no code files — this is instruction-only, so nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no environment variables, credentials, or config paths. There are no requests for keys, tokens, or unrelated service credentials.
Persistence & Privilege
always is false. The agents/openai.yaml sets allow_implicit_invocation: true (permitting implicit invocation when the host allows it), which is normal for reusable skills. The skill does not request permanent system-wide privileges or modify other skills.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install daily-task-checkin
  3. After installation, invoke the skill by name or use /daily-task-checkin
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
Add example files and clearer public-safe usage notes.
v1.0.1
Add examples and clearer public-safe usage notes.
v1.0.0
Initial public-safe task check-in skill.
Metadata
Slug daily-task-checkin
Version 1.0.2
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 3
Frequently Asked Questions

What is Daily Task Check-in?

Simple task intake, reminder, and completion check-in flow for public-safe daily coordination. It is an AI Agent Skill for Claude Code / OpenClaw, with 135 downloads so far.

How do I install Daily Task Check-in?

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

Is Daily Task Check-in free?

Yes, Daily Task Check-in is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Daily Task Check-in support?

Daily Task Check-in is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Daily Task Check-in?

It is built and maintained by Guoma970 (@guoma970); the current version is v1.0.2.

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