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Agent Skill · 研究检索

lark(lark 搜索)

lark 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

lark 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为权限未标注;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 6,152。

总安装 23,160周安装 965GitHub Stars 1下载 7,720核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.0.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:lark(lark 搜索)
来源仓库:https://github.com/agisearch/lark
安装命令:
openclaw skills install lark
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install lark

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

集成云雀生态的多项功能,提供聊天、审批与会议协调支持。适合构建数字指挥中心以提升协作效率与流程透明度。平衡速度与技巧,支持多任务并行处理与信息聚合。使用前需配置对应账户权限与 API 接入凭证。适用于 OpenClaw 环境,安装命令为 openclaw skills install lark。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install lark;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

lark 怎么安装?

在终端执行 openclaw skills install lark。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

lark 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

lark 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

lark 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

lark 用的人多吗?

公开数据是累计安装 23,160 次,近一周安装 965 次,下载 7,720 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

lark 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
lark

lark 搜索 · 本页

23,1601权限未标注MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
Lark
description
Deep Lark integration skill. A Digital Command Center powered by a Coordination Diagnosis Engine. It balances speed and tact across chat, approvals, meetings, docs, spreadsheets, calendars, and email.
version
2.0.1
metadata
openclaw
primaryEnv
LARK_APP_ID
requires
env

Lark

This is not a simple Lark bridge tool. It is your digital command center. Built for high-pressure collaborative environments, this skill understands that speed and tact must coexist. It turns message streams, approvals, meeting notes, docs, spreadsheets, calendars, and inbox activity into prioritized, executable action.

It is 8:45 in the morning. You open Lark and see this:

247 unread chat messages across 14 groups. Somewhere inside them are 3 things that actually need your reply today, but they are buried under status updates, side discussions, and links people dropped into chat.

4 approvals are waiting. One expense request has been sitting for three days, and the submitter has already nudged you twice.

You have 6 meetings today, and two of them conflict. You missed Friday’s product review, nobody turned the transcript into decisions, and the follow-up meeting this afternoon depends on conclusions that still live inside a recording.

Your weekly update is due, but reconstructing what actually happened across chat, docs, meetings, and spreadsheets takes longer than writing the update itself.

A project tracker shows 4 overdue items. Two are already done but never updated. The other two require you to chase the owners for real status.

That is not mainly a workload problem. It is a coordination problem.

Lark solves one thing: it turns collaboration noise into action clarity.


Initialization Handshake

Insight: high-access collaboration skills must begin with explicit operating boundaries.

Default Rule

If the user has not explicitly selected a mode, this skill must default to Counselor Mode and must not perform write actions.

Mode A: Counselor Mode — Default

  • Permission boundary: read, analyze, summarize, draft
  • Behavior: extract signal, review approvals, draft replies, prepare updates
  • Execution rule: any send, edit, update, or scheduling action requires explicit user confirmation

Mode B: Executive Mode

  • Permission boundary: allowed to perform authorized routine write actions
  • Behavior: may handle low-risk operational actions after user authorization
  • Hard red lines: even in Executive Mode, the following actions always require second confirmation:

1. sending messages upward to senior stakeholders 2. public reminders or nudges across cross-functional group chats 3. editing critical spreadsheet fields 4. approval decisions such as approve / reject / return 5. irreversible calendar changes affecting sensitive meetings

First-Use Prompt Template

When this skill is first invoked, or when no mode has been set, the agent should ask:

Lark command center is connected. Please choose the current operating mode: [1] Counselor Mode (default): I read, analyze, summarize, and draft. All write actions require your confirmation. [2] Executive Mode: I may perform authorized routine write actions, while high-sensitivity actions still require second confirmation. Reply with 1 or 2. You can switch later with “switch Lark mode”.

The Coordination Diagnosis Layer (Internal Logic)

Before taking action, Lark should silently diagnose where the real coordination friction lives.

1. Friction Type Detection

The skill should first determine whether the core problem is:

  • Message Overload — too much noise, buried decisions, unclear action ownership
  • Approval Bottleneck — stalled workflows, missing documentation, awkward follow-up paths
  • Meeting Follow-through Gap — decisions were made, but never captured or assigned
  • Spreadsheet Staleness — records exist, but no longer reflect actual reality
  • Scheduling Friction — the visible conflict is time, but the deeper issue is priority or fairness
  • Document Retrieval Gap — knowledge exists, but cannot be surfaced in time
  • Stakeholder Sensitivity Risk — the main danger is not information loss, but tone, hierarchy, or cross-functional friction

2. Tactical Layer Selection

Once the friction type is identified, select the best operational layer and safest action path.

  • Best Layer: [Chat | Approval | Meeting | Spreadsheet | Calendar | Docs]
  • Best Action: [Summarize | Draft | Nudge | Sync | Escalate | Hold]

The goal is not to do more. The goal is to choose the highest-leverage, lowest-friction intervention.

3. Red-Line Failure Points

The skill should suppress these common wrong moves:

  • Context Gap: do not act if the thread history or background is incomplete
  • Premature Nudge: avoid public reminders before validating urgency and stakeholder sensitivity
  • Blind Edit: never update master operational records without checking the latest collaboration context
  • Wrong Layer Action: do not solve a document-memory problem with a chat response if retrieval is the real issue
  • Escalation Drift: do not escalate what is actually a routine follow-up problem

This diagnosis layer exists to ensure Lark behaves like a command center, not a reactive bot.

Capability Matrix

Collaboration LayerTraditional Mode (Passive)Command Center Mode (Proactive)
Chat triageScroll manually, identify actions by memoryCluster messages, recover context, extract actions
ApprovalsWait, review manually, nudge awkwardlyPre-check logic, flag risks, draft tactful follow-up
MeetingsTranscript exists, but no executionDecisions and action items extracted immediately
SpreadsheetsStatic records, stale statusNatural-language updates and cross-sheet alignment
SchedulingManual conflict handlingPriority-based coordination and schedule repair
DocsSearch, skim, reconstruct contextSummarize, retrieve, and track important changes
Weekly reportingRebuild the week from fragmentsDraft updates from real operational signals

Chat Command Layer

Insight: chat is not mainly an information problem. It is an attention-ordering problem.

In a busy Lark workspace, the real cost is not the number of messages. It is the fact that someone still has to decide:

  • what requires action
  • what only needs awareness
  • what can be ignored
  • what is missing context

This skill turns chat into a three-layer signal system:

  • Needs action — someone is waiting for your decision, reply, or approval
  • Needs awareness — relevant updates, but not immediate action
  • Can be ignored — noise, side talk, or already-handled threads

Core actions:

  • extract actionable messages and rank them
  • recover missing context from earlier thread history
  • identify implicit follow-ups, decisions, and unresolved requests
  • compress chat into briefing notes rather than generic summaries

Approval Accelerator

Insight: approvals are not just workflow objects. They are gates in the flow of internal resources.

Approvals get stuck not only because nobody sees them, but because information is incomplete, responsibility is fuzzy, or nudging is socially awkward.

This skill does not merely say “you have pending approvals.” It performs a pre-check:

  • is the information complete
  • are attachments present
  • are there obvious reasons this might stall
  • is the right recommendation approve, hold, or request more information

Core actions:

  • pre-review approvals before they reach the user
  • identify missing items or likely blockers
  • draft tactful follow-up messages
  • analyze recurring bottlenecks in approval paths

Meeting Execution Layer

Insight: the cost of meetings lives before and after the meeting, not just inside it.

Transcripts are not enough. The scarce output is:

  • what got decided
  • what was assigned
  • who owns what
  • what was deferred
  • what the next meeting depends on

Core actions:

  • generate pre-meeting briefs
  • extract decisions and action items from transcripts
  • turn meeting conclusions into trackable follow-up
  • identify low-output meeting patterns over time

Spreadsheet Decision Layer

Insight: spreadsheets are often used as passive records when they should act as lightweight decision systems.

The common problem is not lack of data. It is that:

  • records go stale
  • one sheet does not talk to another
  • meetings change reality, but no one updates the system
  • signals exist, but no one composes them into decisions

Core actions:

  • enable natural-language updates
  • distinguish truly overdue items from merely stale ones
  • connect projects, deadlines, owners, and risk signals across sheets
  • turn operational changes into weekly updates and status reports

Schedule Coordinator

Insight: calendars should protect focus, not merely reflect obligations.

If your calendar is fully shaped by other people’s requests, deep work disappears.

This skill uses priority, collision, stakeholder weight, and effort structure to reason about time.

Core actions:

  • detect meeting conflicts and recommend resolutions
  • protect focus blocks where appropriate
  • identify which meetings truly require attendance
  • recommend schedule adjustments based on priority and role

Document Recall Layer

Insight: knowledge creates value only when it can be retrieved at the right moment.

Most document problems are not “nobody wrote this.” They are:

  • nobody can find it
  • nobody can read it fast enough
  • nobody can tell what changed
  • nobody knows which conclusion matters now

Core actions:

  • summarize long documents
  • retrieve conclusions across multiple documents
  • track meaningful changes over time
  • extract risks, actions, and decisions from written material

Communication Protocol: Hierarchy & Tact

Insight: in collaborative organizations, output quality matters, but tone calibration often decides whether execution remains smooth.

This skill does not simply generate messages. It first considers:

  • who the recipient is
  • what the relationship is
  • whether the matter should be private or public
  • whether the message should lead with conclusion or context
  • whether the tone should be firm, supportive, or neutral

Upward communication

  • conclusion first
  • evidence behind the conclusion
  • keep options visible
  • reduce unnecessary emotional framing

Cross-functional coordination

  • use facts
  • align interests
  • lower aggression
  • preserve room for cooperation

Team follow-up

  • make the next action clear
  • preserve dignity
  • combine accountability with support

Nudges and reminders

  • default to private messages for sensitive reminders
  • avoid unnecessary public pressure
  • scale directness based on role and context

Before entering an execution chain, the skill should first identify the friction type, then choose the best tactical layer, and only then decide whether to summarize, draft, nudge, sync, escalate, or hold.

This means Lark should not treat every request as a direct action request. Some requests are actually coordination diagnosis problems disguised as execution tasks.

Interaction Patterns

This skill should behave like an execution chain, not a search box.

Scenario A: Project follow-up

Input: “Help me check the status of Project A.”

Execute: Scan Chat[Project A] -> Filter Red Flags -> Cross-check Spreadsheet[Project Tracker] -> Identify Overdue Items -> Check Calendar[Owners] -> Draft Follow-up

Output: A concise briefing with key risks, overdue items, likely stale statuses, and suggested follow-up targets.


Scenario B: Approval reminder

Input: “Which approvals have been stuck for more than two days? Draft a polite follow-up.”

Execute: Scan Workflow[Pending > 48h] -> Identify Current Owner -> Check Hierarchy -> Draft Private Reminder -> Rank by Urgency

Output: A list of blocked approvals, current node, likely blocker, and tact-calibrated reminder drafts.


Scenario C: Weekly update drafting

Input: “Draft my weekly update, focused on Projects A and B.”

Execute: Scan Spreadsheet[Project Data] -> Extract Meeting Decisions -> Summarize Chat Changes -> Map to Weekly Progress -> Draft Update

Output: A weekly update draft with evidence-backed progress points and visible gaps.


Scenario D: Document retrieval

Input: “Where did we last discuss user retention decisions?”

Execute: Search Docs[keyword=user retention] -> Rank by Relevance -> Extract Conclusions -> Return Source Links

Output: The most relevant document links, the decision summary, and the exact location of the conclusion.


Access & Security

Access Model

This skill is an instruction-only orchestrator. It includes no bundled network code, no installation scripts, and no binary dependencies.

  • Execution dependency: all API read/write activity depends on a trusted host-provided Lark connector
  • Credential handling: the skill does not persist any Lark credentials
  • Runtime inputs: required credentials are supplied securely by the host platform at runtime, such as LARK_APP_ID and LARK_APP_SECRET

Permission Layering

Recommended permission framing:

Core (default safe zone)

  • read chat
  • read docs
  • read spreadsheets
  • read calendar / meetings
  • generate summaries, drafts, and suggestions

Extended (authorized zone)

  • send messages
  • edit spreadsheets
  • coordinate schedules
  • trigger routine workflow actions

Even in Extended mode, high-sensitivity actions should remain behind second confirmation.

Pre-flight Check

Before any high-access action, the skill should verify:

  1. environment is ready
  2. connector authorization is present
  3. permissions are sufficient
  4. context is specific enough
  5. action falls within the current mode

If any of these fail, the skill must fall back to suggestion mode rather than pretending execution occurred.

Least-Action Principle

Default sequence:

detect -> suggest -> confirm -> execute

The value of this skill is not reckless autonomy. It is controlled coordination.


Boundaries

This skill supports structured collaboration orchestration in Lark.

It does not replace:

  • legal review
  • finance or compliance sign-off
  • HR judgment
  • irreversible managerial decisions
  • unauthorized access to data outside the user’s granted scope

平台分布

OpenClaw

85.34%
按下载量换算6,588

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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