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Install in OpenClaw
/install jw-task-scheduler
Description
智能任务调度技能 - 定时任务、周期任务、一次性提醒的创建与管理。适用于自动化运维、定时报告、提醒通知。觸發詞：定時、排程、排程任務、自動化、提醒、周期任务。
README (SKILL.md)
Task Scheduler
智能任务调度技能，帮助您创建和管理定时任务。
功能
1. 定时任务
- 周期性执行（每X分钟/小时/天）
- 特定时间执行（每天07:30、每周一09:00）
- 一次性任务（20分钟后提醒、明天中午12:00）
2. 任务管理
- 查看任务列表
- 暂停/恢复任务
- 删除任务
- 修改任务配置
3. 通知渠道
- 飞书消息推送
- 控制台输出
- 日志文件记录
使用方式
创建定时任务
帮我创建一个定时任务，每天07:30发早汇报
创建提醒
20分钟后提醒我喝水
查看任务列表
查看所有定时任务
删除任务
删除"早汇报"定时任务
任务格式示例
Cron表达式
0 30 7 * * *- 每天07:300 0 9 * * 1- 每周一09:000 */4 * * *- 每4小时0 0 22 * * *- 每天22:00
任务描述
任务名称：早汇报
执行时间：每天07:30
执行内容：读取昨日记忆，生成汇报，通过飞书发送
通知渠道：飞书消息
注意事项
- 任务执行时会自动读取相关文件（memory/昨日.md）
- 重要任务失败会自动重试（最多3次）
- 任务执行结果会记录到日志
Usage Guidance
This skill asks the agent to read local files (e.g., memory/昨日.md) and to send messages via Feishu, but the package provides no details about where Feishu credentials or webhooks come from and does not declare any config paths. Before installing: confirm with the developer how Feishu integration is configured (which env vars or webhook URL will be used), restrict or review which local directories the skill can access (so it cannot read arbitrary sensitive files), and prefer an implementation that declares required credentials and config paths. If you cannot verify how external posting will be authenticated or which files will be read, avoid enabling autonomous invocation or installing the skill.
Capability Analysis
Type: OpenClaw Skill
Name: jw-task-scheduler
Version: 1.0.0
The skill bundle contains only metadata and documentation (SKILL.md) for a task scheduling tool. It describes standard functionality for managing periodic tasks, reminders, and notifications via Feishu, with no executable code or malicious instructions present.
Capability Assessment
Purpose & Capability
The skill claims task scheduling, local-report generation, and Feishu message delivery — those capabilities are plausible together. However, the metadata declares no required credentials, config paths, or setup for Feishu or for accessing the user's 'memory' files. Requesting no env/config while claiming external messaging integration is inconsistent.
Instruction Scope
SKILL.md explicitly instructs the agent that '任务执行时会自动读取相关文件（memory/昨日.md）' and to generate reports from '昨日记忆' and send via Feishu. That directs the agent to read local files and to transmit content to an external service. The instructions do not specify where Feishu credentials come from or what exact files/locations will be accessed beyond a single example.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — nothing is written to disk by an installer, which is the lowest-risk install model.
Credentials
The skill references Feishu notifications but declares no required env vars or primary credential. If it actually sends messages to Feishu it will need API tokens or webhook URLs; the lack of declared credentials or config paths is disproportionate and unexplained. It also implies reading local files (memory/...), which is a sensitive capability that should be declared.
Persistence & Privilege
always is false and the skill is user-invocable; autonomous invocation is allowed (platform default). Autonomous execution combined with file reads and external posting increases potential impact, but the skill does not request permanent system-wide privileges or modify other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install jw-task-scheduler - After installation, invoke the skill by name or use
/jw-task-scheduler - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Task scheduling skill for automation and reminders
Metadata
Frequently Asked Questions
What is Task Scheduler?
智能任务调度技能 - 定时任务、周期任务、一次性提醒的创建与管理。适用于自动化运维、定时报告、提醒通知。觸發詞：定時、排程、排程任務、自動化、提醒、周期任务。 It is an AI Agent Skill for Claude Code / OpenClaw, with 120 downloads so far.
How do I install Task Scheduler?
Run "/install jw-task-scheduler" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Task Scheduler free?
Yes, Task Scheduler is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Task Scheduler support?
Task Scheduler is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Task Scheduler?
It is built and maintained by a85012712 (@a85012712); the current version is v1.0.0.
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