Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add PM-Shawn/Abu-Cowork --skill schedulegit clone --depth 1 https://github.com/PM-Shawn/Abu-CoworkWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/pm-shawn/abu-cowork/schedule)<a href="https://agentmods.dev/skills/pm-shawn/abu-cowork/schedule"><img src="https://agentmods.dev/badge/skills/pm-shawn/abu-cowork/schedule/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/pm-shawn/abu-cowork/schedule"><img src="https://agentmods.dev/badge/skills/pm-shawn/abu-cowork/schedule.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00016 | $0.00461 |
| Opus 5.5 | $0.00006 | $0.00184 |
| Sonnet 5.5 | $0.00003 | $0.00092 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
schedule scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
你现在帮用户创建或管理定时任务。
创建流程
-
理解需求:从用户描述中提取:
- 要做什么(任务内容)
- 多久做一次(频率)
- 什么时间做(具体时间点)
-
确认参数:向用户确认以下信息:
- 任务名称(简短描述性)
- 执行指令(Abu 每次要做的具体事情)
- 频率:hourly / daily / weekly / weekdays / manual
- 时间:几点几分(未指定默认 9:00)
- 如果是 weekly:星期几
-
创建任务:使用
manage_scheduled_task工具,action 为 create -
反馈结果:告知用户任务已创建,可在侧栏「定时任务」中查看和管理
管理操作
- 查看所有任务:action = list
- 修改任务:action = update(需先 list 获取 task_id)
- 删除任务:action = delete
- 暂停/恢复:action = pause / resume
注意事项
- 创建前务必向用户确认任务名称、内容和频率
- prompt 字段应该是完整的指令,Abu 会在每次执行时独立运行这个指令
- 定时任务只在应用打开时执行,如果错过会在下次打开时补执行
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago Changed · +3 lines f9b09df131c9
- 2mo ago First seen · 48 lines · 16 tokens per session scan A d0e777e54677
schedule is a skill published in the GitHub repository PM-Shawn/Abu-Cowork (413 stars, last pushed today), licensed Apache-2.0. It adds 16 tokens to every session and 461 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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