qqbot-remind

qqbot-remind is a skill for Claude Code, Codex from tencent-connect/openclaw-qqbot. It costs 40 tokens per session (1,836 once invoked), scanned A, original, MIT.

A QQ Bot reminder tool for creating, viewing, and cancelling one-time or repeating reminders. It schedules messages for delivery through QQ.

In plain words
What is it for?
Use it when someone asks to be reminded later, sets an alarm, or requests a recurring reminder such as “every day at 8.”
Why use it?
It prevents reminders from being forgotten or merely promised in conversation without being scheduled. It handles both relative times and repeating schedules.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it when someone asks to be reminded later, sets an alarm, or requests a recurring reminder such as “every day at 8.”

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Install with agentmods
npx agentmods add skills/tencent-connect/openclaw-qqbot/qqbot-remind
About the project

openclaw-qqbot is a channel plugin that connects an AI assistant to QQ, supporting private conversations, group chats, and media messages. It is used to run OpenClaw assistants in QQ with configurable triggers, transports, speech features, scheduled messages, and command approvals. The catalogue skills operate this QQ connection.

tencent-connect/openclaw-qqbot · 1,550 stars · on GitHub

Install

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.

Any agent
npx skills add tencent-connect/openclaw-qqbot --skill qqbot-remind
Clone the repo
git clone --depth 1 https://github.com/tencent-connect/openclaw-qqbot

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for qqbot-remind

README.md
[![agentmods](https://agentmods.dev/badge/skills/tencent-connect/openclaw-qqbot/qqbot-remind/github.svg)](https://agentmods.dev/skills/tencent-connect/openclaw-qqbot/qqbot-remind)
Your own site
<a href="https://agentmods.dev/skills/tencent-connect/openclaw-qqbot/qqbot-remind"><img src="https://agentmods.dev/badge/skills/tencent-connect/openclaw-qqbot/qqbot-remind/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.

agentmods 80×15 button for qqbot-remind

Your own site · 80×15
<a href="https://agentmods.dev/skills/tencent-connect/openclaw-qqbot/qqbot-remind"><img src="https://agentmods.dev/badge/skills/tencent-connect/openclaw-qqbot/qqbot-remind.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,836 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.01836
Opus 5 $0.00020 $0.00918
Sonnet 5 $0.00008 $0.00367
Haiku 4.5 $0.00004 $0.00184

Measured 12d ago against content hash e6219eef0d5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

qqbot-remind 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 12d 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.

skills/qqbot-remind/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QQ Bot 定时提醒

⚠️ 强制规则

当用户提到「提醒」「闹钟」「定时」「X分钟/小时后」「每天X点」「叫我」等任何涉及延时或定时的请求时,你必须调用工具,绝对不能只用自然语言回复说"好的,我会提醒你"!

你没有内存或后台线程,口头承诺"到时候提醒"是无效的——只有调用工具才能真正注册定时任务。


推荐流程(优先使用 qqbot_remind 工具)

第一步:调用 qqbot_remind 工具,传入简单参数:

参数 说明 示例
action 操作类型 "add" / "list" / "remove"
content 提醒内容 "喝水"
to 目标地址(可选,系统自动获取,通常无需填写)
time 时间(相对时间或 cron 表达式) "5m" / "1h30m" / "0 8 * * *"
jobId 任务 ID(仅 remove) "xxx"

第二步qqbot_remind 会返回 cronParams,你必须立即cronParams 的值原样作为参数调用 cron 工具。禁止修改、省略或重组 cronParams 中的任何字段(尤其是 delivery 对象中的 accountId)。

第三步:根据 cron 工具的返回结果,回复用户。

示例

用户说:"5分钟后提醒我喝水"

  1. 调用 qqbot_remind{ "action": "add", "content": "喝水", "time": "5m" }
  2. 收到返回的 cronParams → 立即调用 cron 工具,参数为该 cronParams
  3. 回复用户:⏰ 好的,5分钟后提醒你喝水~

备用方案(直接使用 cron 工具)

仅当 qqbot_remind 工具不可用时使用以下方式。

核心规则

payload.kind 必须是 "agentTurn",绝对不能用 "systemEvent" systemEvent 只在 AI 会话内部注入文本,用户收不到 QQ 消息。

5 个不可更改字段

字段 固定值 原因
payload.kind "agentTurn" systemEvent 不会发 QQ 消息
delivery.mode "announce" 投递模式
delivery.channel "qqbot" QQ 通道标识
delivery.to 用户 openid To 字段获取
sessionTarget "isolated" 隔离会话避免污染

delivery.accountId 必须填写当前会话的账户 ID(如果已知),以确保多账户场景下消息通过正确的机器人账户发送。

schedule.atMs 必须是绝对毫秒时间戳(如 1770733800000),不支持 "5m" 等相对字符串。 计算方式:当前时间戳ms + 延迟毫秒

一次性提醒(schedule.kind = "at")

{
  "action": "add",
  "job": {
    "name": "{任务名}",
    "schedule": { "kind": "at", "atMs": "{当前时间戳ms + N*60000}" },
    "sessionTarget": "isolated",
    "wakeMode": "now",
    "deleteAfterRun": true,
    "payload": {
      "kind": "agentTurn",
      "message": "你是一个暖心的提醒助手。请用温暖、有趣的方式提醒用户:{提醒内容}。要求:(1) 不要回复HEARTBEAT_OK (2) 不要解释你是谁 (3) 直接输出一条暖心的提醒消息 (4) 可以加一句简短的鸡汤或关怀的话 (5) 控制在2-3句话以内 (6) 用emoji点缀"
    },
    "delivery": {
      "mode": "announce",
      "channel": "qqbot",
      "to": "{openid}",
      "accountId": "{accountId}"
    }
  }
}

Read the full file on GitHub · 159 lines

Changes

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.

  1. 12d ago First seen · 159 lines · 40 tokens per session scan A e6219eef0d5b

Subscribe to this mod's changes

qqbot-remind is a skill published in the GitHub repository tencent-connect/openclaw-qqbot (1,550 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 1,836 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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