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Agent Skill · 研究检索

know-my-larkmate-openclaw(know MY larkmate OpenClaw 搜索)

know-my-larkmate-openclaw 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。

know-my-larkmate-openclaw 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;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 33,574。

总安装 2,328周安装 79GitHub Stars 公开资料未说明下载 816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
0.1.0

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:know-my-larkmate-openclaw(know MY larkmate OpenClaw 搜索)
来源仓库:https://github.com/lobster-de-luo/know-my-larkmate-openclaw
安装命令:
openclaw skills install know-my-larkmate-openclaw
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 know-my-larkmate-openclaw

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。

know-my-larkmate-openclaw 用于同步 Lark 上下文到 OpenClaw 笔记。适合在心跳运行期间或用户询问近期动态时使用。可结合来源仓库和原始 README 继续核验具体用法。安装前建议确认权限范围和维护状态。

know-my-larkmate-openclaw 属于研究检索类 Skill,可作为该场景下的辅助能力补充。涉及第三方平台集成时需注意数据同步边界。

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 know-my-larkmate-openclaw;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

know-my-larkmate-openclaw 怎么安装?

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

know-my-larkmate-openclaw 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。

know-my-larkmate-openclaw 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

know-my-larkmate-openclaw 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。

know-my-larkmate-openclaw 用的人多吗?

公开数据是累计安装 2,328 次,近一周安装 79 次,下载 816 次。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。

know-my-larkmate-openclaw 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
know-my-larkmate-openclaw

know MY larkmate OpenClaw 搜索 · 本页

2,328—需要联网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
know-my-larkmate-openclaw
description
Sync recent Lark context into OpenClaw daily notes. Use during heartbeat runs, after relevant Lark reads, when the user asks what they have been doing or focused on recently, or when setting up this OpenClaw-native recent-context workflow.
metadata
{"openclaw":{"requires":{"bins":["lark-cli"]},"install":[{"id":"node","kind":"node","package":"@larksuite/cli","bins":["lark-cli"],"label":"Install lark-cli (npm)"}]}}

know-my-larkmate-openclaw

Use this skill to keep OpenClaw closely synced to the user's recent context, not just to write one-off summaries.

This skill is designed for an OpenClaw setup that uses:

  • memory/YYYY-MM-DD.md for fast context sync and evidence logs
  • HEARTBEAT.md for scheduled consolidation tasks

This skill should write reliable, high-signal recent context into daily notes and stop there. Do not invent a parallel memory system, and do not manage long-term promotion yourself unless the user explicitly asks for that.

For install/setup requirements, read references/install-spec.md. The recommended heartbeat template lives at assets/HEARTBEAT.md.

Heartbeat should update today's daily note on every useful run, and any relevant Lark-reading turn should do the same before replying.

When To Use

Keep this section aligned with the frontmatter description. Use this skill in any of these cases:

  • A heartbeat run should refresh the agent's view of the user's current work context.
  • Any normal turn that read relevant Lark artifacts should sync a short context snapshot before replying.
  • The user asks what they have been doing recently, what they are focused on, or what has changed lately.
  • The user asks to update, refresh, or accumulate recent context from Lark activity.
  • The user wants this OpenClaw-native recent-context workflow in place.

Source Priority

Prefer sources in this order:

  1. Explicit user statements in the current chat
  2. Repeated evidence across independent Lark sources
  3. Single-source weak inferences

What To Capture

Capture these in today's daily note when they are newly relevant:

  • Active workstreams and current priorities
  • Recent meetings, documents, threads, and decisions that will likely matter in the next few turns
  • Current blockers, unresolved questions, and likely next asks
  • Newly important collaborators or stakeholders
  • Explicitly stated near-term preferences that may change how the next few turns should go

Do not persist:

  • One-off task trivia
  • Third-party private information
  • Sensitive personal data
  • Speculative personality judgments
  • Anything blocked by missing permissions or unreadable sources

Write Rules

  • Every useful heartbeat should append a short current-context update to today's daily note.
  • Use the Output Format block below instead of free-form notes.
  • Keep records factual, recent, and source-linked.
  • If something looks stable enough for long-term memory, still record it in the daily note and let OpenClaw's own promotion mechanisms handle the rest.
  • Conflicts should be logged as observations instead of silently normalizing them.
  • If a Lark read fails because tools or scopes are missing, record the failure as a blocked observation instead of inferring.
  • If the failure is a permission error, request only the missing read-only scope(s), then retry the same read. Do not request write scopes from this skill.

OpenClaw File Roles

  • memory/YYYY-MM-DD.md

- Append short records for fresh context, evidence, and blocked scans. - This is the main output of the skill and should be updated on each useful heartbeat run. - Use it for evidence and current context, not polished prose.

  • HEARTBEAT.md

- Define recurring scan and light consolidation tasks. - Heartbeat should stay quiet by default and only surface conflicts or high-value changes.

Operating Workflow

  1. Read today's plus yesterday's daily notes if they exist.
  2. Gather new user signals from direct chat or Lark artifacts.
  3. Identify what changed in the user's near-term context: active workstreams, recent collaborators, new decisions, blockers, likely next requests.
  4. Append a short daily-note record for each useful new signal.
  5. If there is nothing new, do not manufacture context.
  6. Leave long-term memory promotion to OpenClaw unless the user explicitly asks otherwise.

Lark Read Guidance

Preferred reads:

  • lark-cli im +messages-search
  • lark-cli calendar +agenda
  • lark-cli vc +search
  • lark-cli minutes +search
  • lark-cli docs +search
  • lark-cli docs +fetch
  • lark-cli wiki spaces list
  • lark-cli wiki spaces get_node

When the job is specifically about reading Lark activity, also open references/recent-context-guide.md.

Output Format

When updating memory/YYYY-MM-DD.md, use this structure:

# [Analysis Title: concrete and time-scoped, e.g. Heartbeat Context Sync - 2026-04-14 10:00]

## Executive summary
[One short paragraph on what changed and why it matters next]

## Key findings
- Finding 1 with enough source detail to trace the claim
- Finding 2 with enough source detail to trace the claim

## Related Activities
1. Supporting chat, meeting, doc, minute, or task

If the run found nothing useful, do not append filler.

If the user only asks for the skill or design, do not create the memory files unprompted.

平台分布

OpenClaw

82.02%
按下载量换算669

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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