lark-workflow-standup-report

lark-workflow-standup-report is a skill for Claude Code, Codex from appleweiping/WEIPING_WIKI. It costs 53 tokens per session (1,368 once invoked), scanned A, a copy of lark-workflow-standup-report, MIT.

A daily planning workflow that combines calendar events with unfinished tasks into a short schedule summary. It can cover today, tomorrow, or a chosen week.

In plain words
What is it for?
Use it to prepare a morning brief, review upcoming meetings, list incomplete tasks, and see the schedule for a day or week.
Why use it?
It removes the need to check the calendar and task list separately. It also highlights the work and meetings that belong together for the selected date.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to prepare a morning brief, review upcoming meetings, list incomplete tasks, and see the schedule for a day or week.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/appleweiping/weiping_wiki/lark-workflow-standup-report
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 appleweiping/WEIPING_WIKI --skill lark-workflow-standup-report
Clone the repo
git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI

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 lark-workflow-standup-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-workflow-standup-report/github.svg)](https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-workflow-standup-report)
Your own site
<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-workflow-standup-report"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-workflow-standup-report/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 lark-workflow-standup-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-workflow-standup-report"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-workflow-standup-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,368 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.
Origin 91% copy Near-identical to another mod 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 $0.00053 $0.01368
Opus 5 $0.00026 $0.00684
Sonnet 5 $0.00011 $0.00274
Haiku 4.5 $0.00005 $0.00137

Measured 7d ago against content hash 42ce3008a6d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

lark-workflow-standup-report 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 7d 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.

Origin

This is a copy

91% identical to lark-workflow-standup-report — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skill/lark-cli/skills/lark-workflow-standup-report/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

日程待办摘要工作流

CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md,其中包含认证、权限处理

适用场景

  • "今天有什么安排" / "今天的日程和待办"
  • "明天有什么会" / "明日日程与未完成任务"
  • "帮我看看今天要做什么" / "早报摘要"
  • "开工摘要" / "standup report"
  • "这周还有哪些安排"

前置条件

仅支持 user 身份。执行前确保已授权:

lark-cli auth login --domain calendar,task

工作流

{date} ─┬─► calendar +agenda [--start/--end] ──► 日程列表(会议/事件)
        └─► task +get-my-tasks [--due-end]    ──► 未完成待办列表
                    │
                    ▼
              AI 汇总(时间转换 + 冲突检测 + 排序)──► 摘要

Step 1: 获取日程

# 今天(默认,无需额外参数)
lark-cli calendar +agenda

# 指定日期范围(必须使用 ISO 8601 格式,不支持 "tomorrow" 等自然语言)
lark-cli calendar +agenda --start "2026-03-26T00:00:00+08:00" --end "2026-03-26T23:59:59+08:00"

注意--start / --end 仅支持 ISO 8601 格式(如 2026-01-012026-01-01T15:04:05+08:00)和 Unix timestamp,不支持 "tomorrow""next monday" 等自然语言。需要 AI 根据当前日期自行计算目标日期。

输出包含:event_id、summary、start_time(含 timestamp + timezone)、end_time、free_busy_status、self_rsvp_status。

Step 2: 获取未完成待办

# 默认:返回分配给当前用户的未完成任务(最多 20 条)
lark-cli task +get-my-tasks

# 只看指定日期前到期的(推荐用于摘要场景,减少数据量)
lark-cli task +get-my-tasks --due-end "2026-03-27T23:59:59+08:00"

# 获取全部(超过 20 条时)
lark-cli task +get-my-tasks --page-all

注意:不带过滤条件时可能返回大量历史待办(实测 30+ 条、100KB+),容易超出上下文限制。摘要场景建议:

  • --due-end 过滤出目标日期前到期的任务
  • 如果也需要无截止日期的任务,可不加过滤,但 AI 汇总时只展示近 30 天内创建的,其余折叠为"其他 N 项历史待办"

Step 3: AI 汇总

将 Step 1 和 Step 2 的结果整合,按以下结构输出:

## {日期}摘要({YYYY-MM-DD 星期X})

### 日程安排
| 时间 | 事件 | 组织者 | 状态 |
|------|------|--------|------|
| 09:00-10:00 | 产品需求评审 | 张三 | 已接受 |
| 14:00-15:00 | 技术方案讨论 | 李四 | 待确认 |

### 待办事项
- [ ] {task_summary}(截止:{due_date})
- [ ] {task_summary}

### 小结
- 共 {n} 场会议,{m} 项待办
- 冲突提醒:{列出时间重叠的日程}
- 空闲时段:{free_slots}(根据日程推算)

数据处理规则:

  1. 时间转换:API 返回 Unix timestamp,需根据 timezone 字段(通常为 Asia/Shanghai)转换为 HH:mm 格式
  2. RSVP 状态映射
    API 值 显示文案
    accept 已接受
    decline 已拒绝
    needs_action 待确认
    tentative 暂定
  3. 日程排序:按开始时间升序排列
  4. 冲突检测:按时间排序后,检查相邻日程是否有时间重叠(前一个 end_time > 后一个 start_time),有则在小结中列出冲突组
  5. 已拒绝日程:标注"已拒绝"但不计入忙碌时段和冲突检测
  6. 待办排序:按截止时间升序,已过期的标注"已过期",无截止时间的排在最后

Read the full file on GitHub · 121 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. 7d ago First seen · 121 lines · 53 tokens per session scan A 42ce3008a6d8

Subscribe to this mod's changes

lark-workflow-standup-report is a skill published in the GitHub repository appleweiping/WEIPING_WIKI (122 stars, last pushed 15d ago), licensed MIT. It adds 53 tokens to every session and 1,368 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to lark-workflow-standup-report, differing in 22 lines, and is treated as a copy.

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