Token导航 LogoToken导航TokenDH.com
效率只读clawhub未标认证来源可访问clear审计提醒

feishu-agent-skills飞鼠 Agent 技能

Agent Skill

feishu-agent-skills 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

总安装

2,521

周安装

102

GitHub Stars

公开资料未说明

下载量

792
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:feishu-agent-skills(飞鼠 Agent 技能)
来源仓库:https://github.com/meichuanyi/feishu-agent-skills
安装命令:
openclaw skills install feishu-agent-skills
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 feishu-agent-skills

简介

feishu-agent-skills 用于补充效率相关能力,支持创建新 OpenClaw Agent。

  • 适合在 OpenClaw 中自动执行多步骤代理创建流程的场景。
  • 通过 clawhub 安装,命令为 openclaw skills install feishu-agent-skills。
  • 建议安装前确认权限范围、维护状态及是否涉及系统配置或网络调用。
  • 可参考来源仓库和原始文档了解自动化流程的具体步骤与限制。

SKILL.md

name
openclaw-create-agent
description
Create and wire a new OpenClaw agent with a fixed workflow. Use when the user asks to create/add a new OpenClaw agent or says “我要创建一个新的 Agent”, automate multi-agent setup for Feishu, modify ~/.openclaw/openclaw.json channel accounts, bindings, and session.dmScope, or run follow-up commands such as gateway restart and binding verification.

OpenClaw Create Agent

Use this skill to create one new OpenClaw agent and finish routing/config updates in one pass.

This skill is Feishu-only. Do not use it for Telegram, Slack, Discord, or other channels.

Required Inputs

First align the user's target scenario, then collect fields. Ask only for missing required fields.

Scenario alignment question (must ask first):

  • Option A: create a new bot/app and map it to a new agent (routing_mode=account)
  • Option B: map an existing/new group to a new agent under one bot (routing_mode=peer)
FieldRequiredNotes
agent_idyeslowercase letters, digits, - only
workspaceyesuse absolute path for project workspace
modelnooptional model override for this agent
routing_modeyesaccount or peer
channelnofixed to feishu

For routing_mode=account (one bot per agent), collect:

  • account_id (required)
  • app_id, app_secret, bot_name (optional but recommended)

For routing_mode=peer (single bot, multi-group), collect:

  • peer_kind (group or direct, required)
  • peer_id (required)
  • account_id (optional, narrows matching if provided)
  • if this is a new group, collect peer_id only after guided gates in Step 0.5

Workflow

  1. Align scenario (new bot per agent or multi-group per agent).
  2. For multi-group scenarios, run guided gates in Step 0.5.
  3. Read current config and backup.
  4. Create agent runtime with OpenClaw CLI.
  5. Upsert config for channel account, binding, and dmScope.
  6. Restart gateway and verify.
  7. Return a concise change summary.

Step 0: Align Requirement

Ask this first:

你是要哪一种?
1) 新建一个机器人,对应一个新 Agent(account 路由)
2) 已有一个机器人,在新群里绑定一个新 Agent(peer 路由)

Map answer:

  • option 1 -> routing_mode=account
  • option 2 -> routing_mode=peer

If answer is ambiguous, stop and clarify before editing config.

Step 0.5: Multi-Group Guided Gates

Apply this step when the user is doing multi-group multi-agent routing.

  1. Guide the user to create a new group and add the bot into that group.
  2. Pause and wait for explicit confirmation: 已创建群.
  3. Only after receiving 已创建群, guide the user to send one message in that group to generate logs.
  4. Pause and wait for explicit confirmation: 已发送.
  5. Only after receiving 已发送, check OpenClaw logs and extract chat_id (format oc_xxxxx).

Suggested command:

openclaw logs --follow

Expected signal in logs:

Received message from peer: { kind: "group", id: "oc_xxxxxxxxxxxxxxxx" }

Step 1: Precheck and Backup

Run:

test -f ~/.openclaw/openclaw.json
cp ~/.openclaw/openclaw.json ~/.openclaw/openclaw.json.bak.$(date +%Y%m%d%H%M%S)

If config file is missing, stop and ask user to initialize OpenClaw first.

Step 2: Create Agent Runtime

Run OpenClaw CLI first (required):

openclaw agents add <agent_id> --workspace <workspace> --non-interactive

If model is provided:

openclaw agents add <agent_id> --workspace <workspace> --model <model> --non-interactive

Step 3: Upsert openclaw.json

Use the bundled script:

python3 scripts/upsert_openclaw_agent.py \
  --config ~/.openclaw/openclaw.json \
  --agent-id <agent_id> \
  --routing-mode <account|peer> \
  [--account-id <account_id>] \
  [--app-id <app_id>] \
  [--app-secret <app_secret>] \
  [--bot-name <bot_name>] \
  [--peer-kind <group|direct>] \
  [--peer-id <peer_id>]

Run from this skill folder, or replace scripts/upsert_openclaw_agent.py with its absolute path.

Script behavior:

  • upsert channels.<channel>.accounts.<account_id> when account mode is used
  • upsert one binding for this agent
  • always enforce session.dmScope = per-account-channel-peer for multi-agent Feishu setup

Read references/routing-modes.md when routing choice is unclear.

Step 4: Restart and Verify

Run:

openclaw gateway restart
openclaw agents list --bindings

Validate:

  • target agent appears in list
  • binding points to expected channel/account or channel/peer

Step 5: Report Output

Return:

  • created/updated binding match
  • whether account entry was added/updated
  • whether dmScope changed
  • verification command results

Constraints

  • Preserve existing unrelated agents/accounts/bindings.
  • Reject route conflicts (same channel/account/peer route already used by another agent).
  • Avoid interactive prompts unless user explicitly asks for interactive mode.
  • Assume channel=feishu only.
  • In multi-group scenarios, do not continue past Step 0.5 until receiving 已创建群 and then 已发送.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

83.58%
按下载量换算662

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills