QwenPaw is a personal AI assistant that runs on a local machine or in the cloud and connects to multiple chat applications. It provides memory, file workspaces, multiple agents, skills, plugins, and integrations with language-model providers and external tools. The catalogue entries are skills that extend its capabilities.
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 agentscope-ai/QwenPaw --skill cron-zhgit clone --depth 1 https://github.com/agentscope-ai/QwenPawWrote 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/agentscope-ai/qwenpaw/cron-zh)<a href="https://agentmods.dev/skills/agentscope-ai/qwenpaw/cron-zh"><img src="https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/cron-zh/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/agentscope-ai/qwenpaw/cron-zh"><img src="https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/cron-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00049 | $0.02411 |
| Opus 5 | $0.00024 | $0.01205 |
| Sonnet 5 | $0.00010 | $0.00482 |
| Haiku 4.5 | $0.00005 | $0.00241 |
Grade A, and why
cron 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.
定时任务管理
什么时候用
只有在需要未来某个时间自动执行,或按周期重复执行时,使用本 skill。
应该使用
- 用户要求"每天 / 每周 / 每小时"执行某事
- 用户要求"明天 9 点 / 下周一 / 某个时间"自动提醒或执行
- 需要长期周期性通知、检查、汇报
不应使用
- 只是要现在立即执行一次
- 只是当前会话中的正常回复
- 用户没有明确执行时间或周期
- 目标 channel / user / session 还不明确
决策规则
- 只有在未来定时执行或周期执行时才使用 cron
- 如果只是立即做一次,通常不要创建 cron
- 创建前必须确认执行时间/周期、目标 channel、target-user、target-session
- 所有 cron 命令都必须显式传
--agent-id - 不要依赖默认 agent,否则任务可能落到 default workspace
- 如果 agent 任务只需后台执行、不向渠道输出,添加
--silent;执行、会话历史、追踪和可选收件箱记录仍会继续
硬规则
必须显式指定 --agent-id
所有 qwenpaw cron 命令都必须传:
--agent-id <your_agent_id>
你的 agent_id 在系统提示中的 Agent Identity 部分(Your agent id is ...)。 不得省略,否则任务可能错误创建到 default agent 的 workspace。
常用命令
# 列出任务
qwenpaw cron list --agent-id <agent_id>
# 查看任务详情
qwenpaw cron get <job_id> --agent-id <agent_id>
# 查看任务状态
qwenpaw cron state <job_id> --agent-id <agent_id>
# 创建任务
qwenpaw cron create --agent-id <agent_id> ...
# 删除任务
qwenpaw cron delete <job_id> --agent-id <agent_id>
# 暂停 / 恢复任务
qwenpaw cron pause <job_id> --agent-id <agent_id>
qwenpaw cron resume <job_id> --agent-id <agent_id>
# 立即执行一次已有任务
qwenpaw cron run <job_id> --agent-id <agent_id>
# 更新已有任务
qwenpaw cron update <job_id> --agent-id <agent_id> ...
创建任务
支持两种类型:
- text:定时发送固定消息
- agent:定时向 agent 提问,并把回复发送到目标 channel
支持两种调度形态:
- cron(
--schedule-type cron):经典 cron 周期(如每天 9 点、每 2 小时),与循环任务相对应 - scheduled(
--schedule-type scheduled):日程任务(从--run-at开始,可一次性或按天重复)
调度选择规则(必须遵守)
- 用户表达“每小时/每天/每周”且不强调具体起始日时,优先用
cron - 用户表达“明天/下周一/从某天开始/未来两周/有明确截止时间”时,优先用
scheduled scheduled不重复时(即一次性任务):只传--run-at,不要传--repeat-*scheduled重复时:传--repeat-every-days,并根据结束条件传:- 限定次数:
--repeat-end-type count --repeat-count N - 限定结束时间:
--repeat-end-type until --repeat-until <ISO8601> - 不设结束:
--repeat-end-type never
- 限定次数:
超时设置
默认超时 120 秒(2 分钟)。对于较长的 agent 任务,应显式设置更大的超时时间,避免任务被提前取消:
--timeout 600 # 10 分钟
--timeout 3600 # 1 小时
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.
- 11d ago First seen · 284 lines · 49 tokens per session scan A c233e36d7c0a
cron is a skill published in the GitHub repository agentscope-ai/QwenPaw (34,741 stars, last pushed yesterday), licensed Apache-2.0. It adds 49 tokens to every session and 2,411 once invoked, about $0.0002 per session on Opus 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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