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 shikidmsh-rgb/mochibot --skill remindergit clone --depth 1 https://github.com/shikidmsh-rgb/mochibotWrote 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/shikidmsh-rgb/mochibot/reminder)<a href="https://agentmods.dev/skills/shikidmsh-rgb/mochibot/reminder"><img src="https://agentmods.dev/badge/skills/shikidmsh-rgb/mochibot/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/shikidmsh-rgb/mochibot/reminder"><img src="https://agentmods.dev/badge/skills/shikidmsh-rgb/mochibot/reminder.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 | $0.00017 | $0.00412 |
| Opus 5 | $0.00009 | $0.00206 |
| Sonnet 5 | $0.00003 | $0.00082 |
| Haiku 4.5 | $0.00002 | $0.00041 |
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 6d 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
Tools
manage_reminder (routed)
创建、查看或删除在指定时间主动送达的一次性通知。它记录“到点联系”，不追踪事情后来是否完成。
| Parameter | Type | Required | Description |
|---|---|---|---|
| action | string (enum: create, list, delete) | yes | 操作类型 |
| kind | string (enum: notify, self) | no | create 时使用；默认 notify |
| message | string | no | notify 的提醒内容 |
| intent | string | no | self 的私有回望方向，不是预写给用户的话 |
| remind_at | string | no | ISO 8601 格式的提醒时间（create 必填） |
| reminder_id | integer | no | 提醒 ID（delete 必填） |
Capability Context
create持久化提醒内容与一个明确的 ISO 8601 时间；到点后系统会用 Mochi 的身份发起一次已授权联系。- reminder 只理解时间，不理解“遛狗后”一类事件条件，也不会追踪完成状态。持续关注的信息可由 Main 审慎写入 Core；持续追踪分别属于 habit 或 todo。
delete取消尚未送达的提醒，并返回被取消的 reminder ID。self保存的是 Main 留给未来自己的私有意图。到点时未来 Main 会结合当时的 Core、Diary、近期相处和可用能力重新判断；它可能行动、开口或安静结束。- Self Reminder 只接受一次性时间。其 Main 结果会先持久化再发送，发送重试不会重复进入 Main 或重复执行工具。
What ships with it
5 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.
- 6d ago Changed · -3 lines · -8 tokens per session fda6b693dbca
- 11d ago First seen · 34 lines · 25 tokens per session scan A 1ead5849c51f
reminder is a skill published in the GitHub repository shikidmsh-rgb/mochibot (82 stars, last pushed 4d ago), licensed MIT. It adds 17 tokens to every session and 412 once invoked, about $0.0001 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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