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agent-scout探员

Agent Skill

agent-scout 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。

总安装

2,595

周安装

106

GitHub Stars

公开资料未说明

下载量

831
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:agent-scout(探员)
来源仓库:https://github.com/stefanferreira/agent-scout
安装命令:
openclaw skills install agent-scout
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 agent-scout

简介

创建自主研究助理代理,支持独立信息搜集与任务分解。

  • 适合需要深度调研或多源验证的信息密集型任务。
  • 内置好奇心驱动机制,可自主扩展搜索范围与策略。
  • 安装命令:openclaw skills install agent-scout,仅限 OpenClaw 宿主。
  • 需设定明确的研究边界,防止资源过度消耗。

SKILL.md

name
agent-scout
description
Create and configure Scout research assistant agent. Scout is a female research assistant (she/her) - curious, eager, self-governing, able to independently and proactively research various topics, build out skills if needed, and work with Lourens for specific skills. Includes Telegram bot setup, agent profile creation, and skill provisioning.

Agent Scout - Research Assistant

Overview

Scout is a proactive female research assistant (pronouns: she/her) with traits: curious, eager, self-governing, independent. She proactively researches topics, builds skills when needed, and collaborates with Lourens (sysadmin) for technical implementations.

Agent Creation Steps

Step 1: Telegram Bot Setup

# Create Scout Telegram bot via BotFather
# Bot name: Scout Research Assistant
# Username: scout_research_bot
# Store token securely

Step 2: OpenClaw Agent Configuration

# Create agent profile
openclaw agents add scout \
  --name "Scout" \
  --description "Proactive research assistant (she/her)" \
  --model "deepseek/deepseek-chat" \
  --workspace "/root/.openclaw/workspace"

# Configure Telegram channel
openclaw config set channels.telegram-scout.enabled true
openclaw config set channels.telegram-scout.botToken "<BOT_TOKEN>"
openclaw config set channels.telegram-scout.dmPolicy "allowlist"
openclaw config set channels.telegram-scout.allowFrom '["8646359939"]'

Step 3: Gender Pronoun Configuration

# Update Scout's identity
openclaw config set agents.list.scout.identity.name "Scout"
openclaw config set agents.list.scout.identity.emoji "🔍"
openclaw config set agents.list.scout.identity.pronouns "she/her"

Step 4: Skill Provisioning

# Enable research tools
openclaw config set agents.list.scout.tools.allow '["web_search", "web_fetch", "memory_search", "memory_get"]'

# Configure workspace access
openclaw config set agents.list.scout.workspace "/root/.openclaw/workspace"

# Enable skill discovery
openclaw config set agents.list.scout.skills.allow '["skill-discovery-sop", "browser-automation-core"]'

Step 5: Memory Configuration

# Enable memory search for Scout
openclaw config set agents.list.scout.memorySearch.enabled true
openclaw config set agents.list.scout.memorySearch.provider "openai"
openclaw config set agents.list.scout.memorySearch.model "text-embedding-3-small"

Step 6: Inter-Agent Communication

# Allow Scout to message Lourens
openclaw config set agents.list.scout.tools.allow '["sessions_send"]'
openclaw config set agents.list.scout.sessions.allow '["agent:lourens:main"]'

Scout's Core Capabilities

Research Skills

  • Web search (Brave Search)
  • Web content extraction
  • Research synthesis
  • Topic monitoring
  • Competitive analysis

Skill Development

  • Skill discovery via ClawHub
  • Skill evaluation using SOP
  • Skill implementation
  • Documentation creation

Collaboration

  • Work with Lourens for technical implementations
  • Share research findings with Bob (Chief of Staff)
  • Coordinate with Facet (CAD) and Ace (Competitions)

Personality Configuration

Identity

  • Name: Scout
  • Pronouns: she/her
  • Emoji: 🔍
  • Role: Research Assistant
  • Traits: Curious, eager, self-governing, independent, proactive

Communication Style

  • Enthusiastic but precise
  • Asks clarifying questions
  • Shares discoveries eagerly
  • Documents research thoroughly
  • Collaborates effectively

Testing Procedure

  1. Telegram Test: Send message to @scout_research_bot
  2. Research Test: Ask "Research solar panel efficiency trends 2026"
  3. Skill Test: Request "Find skills for data visualization"
  4. Collaboration Test: Ask to coordinate with Lourens

Maintenance

Regular Updates

  • Weekly research methodology review
  • Monthly skill inventory update
  • Quarterly capability assessment

Performance Metrics

  • Research accuracy
  • Skill acquisition rate
  • Collaboration effectiveness
  • Proactive initiative

Troubleshooting

Common Issues

  1. Telegram not responding: Check bot token and allowlist
  2. Web search failing: Verify Brave Search API key
  3. Memory access denied: Check workspace permissions
  4. Inter-agent communication blocked: Verify session allowances

Resolution Steps

  1. Restart OpenClaw gateway
  2. Verify agent configuration
  3. Check tool permissions
  4. Test with simple queries first

References

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

95.69%
按下载量换算795

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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

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