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 appleweiping/WEIPING_WIKI --skill lark-calendargit clone --depth 1 https://github.com/appleweiping/WEIPING_WIKIWrote 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/appleweiping/weiping_wiki/lark-calendar)<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-calendar"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-calendar/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/appleweiping/weiping_wiki/lark-calendar"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-calendar.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 | $0.00193 | $0.03806 |
| Opus 5 | $0.00097 | $0.01903 |
| Sonnet 5 | $0.00039 | $0.00761 |
| Haiku 4.5 | $0.00019 | $0.00381 |
Grade A, and why
lark-calendar 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- lark-calendar — 92% identical, 1 lines differ
- lark-calendar — 92% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
calendar (v4)
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
CRITICAL — 所有的 Shortcuts 在执行之前,务必先使用 Read 工具读取其对应的说明文档,禁止直接盲目调用命令。
CRITICAL — 凡涉及【预约日程/会议】或【查询/搜索会议室】,第一步 MUST 强制使用 Read 工具读取 references/lark-calendar-schedule-meeting.md。禁止跳过此步直接调用 API 或 Shortcut!
CRITICAL — 术语约束:用户日常表达中常说的“帮我约个日历”、“查一下今天的日历”等,其实际意图通常是针对 日程(Event) 的创建或查询,而非操作 日历(Calendar) 容器本身。请自动将口语化的“日历”意图映射为“日程”操作(如 +create, +agenda)。
CRITICAL — 会议与日程的意图路由:
- 查询过去时间的会议:如果用户明确查询过去时间的会议(如“昨天的会议”、“上周的会议”),优先使用
../lark-vc/SKILL.md搜索会议记录。因为会议数据不仅包含从日程发起的视频会议,还包含即时会议,仅查询日程数据会导致结果不全。 - 查询日历/日程或未来时间的会议:如果用户明确表达的是“日历”、“日程”,或者涉及未来时间的安排,则属于本技能(lark-calendar)的业务域,请继续使用本技能处理。 CRITICAL — 任务类型分流:处理“预约/改约日程、添加/移除参会人、添加/更换会议室、调整时间”时,必须先判断用户是在“新建日程”还是“编辑已有日程”。
- 编辑已有日程的强信号:用户明确提到某个已存在的日程锚点(如标题、时间段、
这个日程、这场会)并表达修改动作(如“添加”“移除”“改到”“换会议室”“调整时间”)。这类请求默认走编辑已有日程,绝不能直接按新建处理。 - 编辑已有日程的前置步骤:一旦判定为编辑,MUST 先定位目标日程或具体实例的
event_id,再继续后续流程。若是重复性日程,MUST 先定位到对应实例的event_id。 - 新建日程:只有当用户表达的是“新约一个会/创建一个日程/安排一次会议”等新增意图,且没有指向某个既有日程的修改动作时,才进入新建流程。
CRITICAL — 验证与同步延迟:在涉及删除日程(delete)、修改日程(patch)或者涉及添加移除参与人/会议室之后,如果需要进行二次查询验证操作结果,MUST 等待至少 2 秒后再进行查询,以防止因数据同步延迟导致查不到最新数据。注意:不要向用户提及你等待了这 2 秒钟的事情。
CRITICAL — 重复性日程的实例操作:目前已经完全具备对重复性日程的某个具体实例进行操作的能力(例如:编辑某个实例、删除某个实例、为某个实例添加/删除参与人、为某个实例添加/移除会议室)。只要在对应的操作中传递对应实例的 event_id 即可。因此,MUST 先定位到对应的那次实例的 event_id(可通过 events search_event 搜索日程,或 +agenda 查看对应时间范围的日程等相关查询获取),绝对禁止直接使用原重复性日程的 event_id 进行操作。
时间与日期推断规范: 为确保准确性,在涉及时间推断时,请严格遵循以下规则:
- 星期的定义:周一是一周的第一天,周日是一周的最后一天。计算
下周一等相对日期时,务必基于当前真实日期和星期基准进行推算,避免算错日期。 - 一天的范围:当用户提到
明天、今天等泛指某一天时,时间范围应默认覆盖整天时间范围。切勿自行缩减查询范围,以免遗漏晚上的时间安排。 - 历史时间约束:不能预约已经完全过去的时间。唯一的例外情况是“跨越当前时间”的日程,即日程的开始时间在过去,但结束时间在未来。
核心场景
1. 预约新日程/会议、编辑已有日程、查询/搜索可用会议室
BLOCKING REQUIREMENT (阻塞性要求): 只要用户的意图包含“预约日程/会议”或“查询/搜索可用会议室”,你必须立即停止其他思考,优先使用 Read 工具完整读取 references/lark-calendar-schedule-meeting.md!未读取该文件前,绝对禁止执行任何日程创建或会议室查询操作。
CRITICAL: 必须严格按照上述文档中定义的工作流(Workflow)执行后续操作。处理该场景时,默认做“智能助理”,不要做“表单填写机”。能补全的默认值先补全,只有在时间冲突、结果无法唯一确定、时间语义存在歧义时才主动追问。
CRITICAL: 执行顺序必须固定为:先判断任务类型(新建/编辑);若为编辑先定位目标日程 event_id;再补默认值或继承已定位日程的已知信息;再判断时间是否明确;最后进入“明确时间”或“模糊时间/无时间信息”分支。不要跳步。
CRITICAL: 明确时间且需要会议室时,先基于最终确定的时间块执行 +room-find,再按需执行 +freebusy;模糊时间或无时间信息时,先 +suggestion,如需会议室再批量 +room-find。如果是编辑已有日程且不改时间,只新增会议室,则必须基于已定位日程的原始时间执行 +room-find,且最终落地时默认保留已存在的会议室;只有用户明确表达“更换会议室”或“移除会议室”时,才删除原会议室。
CRITICAL: 当用户说“查会议室”“找会议室”“搜可用会议室”或“推荐常用会议室”时,默认是查会议室可用性,不是查会议室资源名录,更严禁拉取历史日程做统计分析。完整规则以 lark-calendar-schedule-meeting.md 为准。
BLOCKING REQUIREMENT: 即使用户的核心诉求是“查会议室”,只要【没有提供明确的起止时间】,绝对禁止直接调用 +room-find!必须先进入【无时间/模糊时间】分支,调用 +suggestion 拿到候选时间块后,再将时间块传给 +room-find。
BLOCKING REQUIREMENT: 只要面临时间方案或会议室方案的选择(如模糊时间、无时间或需要会议室),在最终执行创建新日程或更新既有日程之前,必须先向用户展示候选方案并等待用户明确确认。绝对禁止擅自替用户做决定。
What ships with it
8 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.
- references/lark-calendar-agenda.md 2.3 KB
- references/lark-calendar-create.md 5.0 KB
- references/lark-calendar-freebusy.md 3.8 KB
- references/lark-calendar-room-find.md 9.1 KB
- references/lark-calendar-rsvp.md 1.3 KB
- references/lark-calendar-schedule-meeting.md 18 KB
- references/lark-calendar-suggestion.md 7.0 KB
- references/lark-calendar-update.md 6.3 KB
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.
- 7d ago First seen · 154 lines · 193 tokens per session scan A 604caab5a415
lark-calendar is a skill published in the GitHub repository appleweiping/WEIPING_WIKI (122 stars, last pushed 15d ago), licensed MIT. It adds 193 tokens to every session and 3,806 once invoked, about $0.0010 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 2026-09-03.
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