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 zhinjs/zhin --skill remindergit clone --depth 1 https://github.com/zhinjs/zhinWrote 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/zhinjs/zhin/reminder)<a href="https://agentmods.dev/skills/zhinjs/zhin/reminder"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/reminder/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/zhinjs/zhin/reminder"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/reminder.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 | $0.00085 | $0.00455 |
| Opus 5.5 | $0.00034 | $0.00182 |
| Sonnet 5.5 | $0.00017 | $0.00091 |
| Haiku 4.5 | $0.00009 | $0.00046 |
Grade A, and why
reminder 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 3d 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
个人提醒
何时使用本技能
- 用户要「X 分钟后提醒我…」「每天每隔 N 秒…」（消息回到当前会话）
- 查看或取消自己在当前会话的提醒
何时改用 schedule_add
- 需要到点再次唤醒 Agent（执行 prompt、跑工具），而不是只发一条提醒文案
- 需要公历/农历 cron、工作日、节假日等日历语义（见原生
schedule_*工具）
工作流
- 确认提醒文案与时间。绝对时间必须带
Z或±hh:mm（例如2026-10-14T09:00:00+08:00）。 - 一次性：
after（10m/600）或at；周期：every_seconds（≥ 60）。 reminder_create/reminder_cancel需要用户批准；创建前复述内容与时间。- 用
reminder_list核对；取消时带上 id。
注意
- 提醒绑定发送者 + 精确会话（含 endpoint / 线程）；别人看不见、取消不了你的任务。
- 本插件没有 5 段 cron；周期只有固定间隔秒数。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 46 lines · 85 tokens per session scan A 0ede0bb5f792
reminder is a skill published in the GitHub repository zhinjs/zhin (136 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 455 once invoked, about $0.0003 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 2026-10-14.
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remindme
⏰ simple Telegram reminders for OpenClaw. cron, zero dependencies.