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Agent Skill · 研究检索

agentar(agentar 搜索)

agentar 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。

agentar 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 14,338。

总安装 8,632周安装 367GitHub Stars 公开资料未说明下载 3,024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
1.0.0

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:agentar(agentar 搜索)
来源仓库:https://github.com/rwonly/agentar
安装命令:
openclaw skills install agentar
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 agentar

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。

将 AI 代理头像(又名代理)实例导出和导入为便携式 .claw 包,以进行备份、共享和迁移。

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 agentar;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

    它需要接触敏感数据,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

agentar 怎么安装?

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

agentar 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。

agentar 需要什么权限?

权限级别是接触敏感数据。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。

agentar 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。

agentar 用的人多吗?

公开数据是累计安装 8,632 次,近一周安装 367 次,下载 3,024 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。

agentar 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
agentar

agentar 搜索 · 本页

8,632—接触敏感数据MIT-0有提醒

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
agentar
description
Export and import AI agent avatar (aka agentar) instances as portable .claw packages for backup, sharing, and migration.
homepage
https://agentar.site
metadata

Agentar Skill Overview

Fast CLI to distribute an AI agent.

CLI Reference

Save (Export)

node {baseDir}/scripts/clawctl.mjs save <namespace/name:tag> [options]
FlagDescriptionDefault
-o <path>Output file path./<name>-<tag>.claw
--source <path>OpenClaw state directory~/.openclaw
--description <text>Package description(empty)
--include-memoryInclude MEMORY.mdfalse

Load (Import)

node {baseDir}/scripts/clawctl.mjs load <file> [options]

Load automatically creates a backup before installing. This can be skipped with --no-backup.

FlagDescriptionDefault
--target <path>Target OpenClaw state dir~/.openclaw
--agent-name <name>Name for the imported agentfrom manifest
--dry-runPreview without installingfalse
--no-backupSkip auto-backupfalse

Backup

node {baseDir}/scripts/clawctl.mjs backup [--source <path>] [--label <text>]

Create a snapshot of current workspace + config. Stored in ~/.openclaw/.agentar-backups/<id>/.

List Backups

node {baseDir}/scripts/clawctl.mjs backups [--source <path>]

Rollback

node {baseDir}/scripts/clawctl.mjs rollback [<id>] [--target <path>]

Restore from a backup. If no <id> given, uses the latest. Before restoring, a safety backup of the current state is created automatically.


AI Agent Behavior Guide

When the user triggers this skill, follow the intelligent workflows below instead of blindly running commands.

Export Workflow

When the user says things like "导出 claw", "export my setup", "backup my openclaw":

Step 1 — Gather context automatically

Before asking the user anything, silently gather:

# Check what's in the workspace
ls ~/.openclaw/workspace/

# Read identity to infer a good package name
cat ~/.openclaw/workspace/IDENTITY.md 2>/dev/null | head -20

# Check installed skills (these get recorded in the manifest)
clawhub list --workdir ~/.openclaw 2>/dev/null

# Check config exists
test -f ~/.openclaw/openclaw.json && echo "config exists" || echo "no config"

Step 2 — Infer smart defaults, then confirm with user

Based on what you found:

  • ref: Use the agent's name/identity as the package name. Example: if IDENTITY.md says the agent is called "X", use user/x:v1. If unclear, ask.
  • output: Default to ~/Desktop/<name>.claw (easy to find and share). On Linux, use ~/.
  • description: Summarize the agent's personality/purpose from IDENTITY.md or SOUL.md in one sentence.
  • include-memory: Default NO. Only suggest YES if the user explicitly mentions wanting to transfer memories.

Present your plan concisely:

I'll export your OpenClaw as user/x:v1 to ~/Desktop/x-v1.claw. Description: "An assistant named X with ..." Memory: not included Skills bundled: agentar@0.3.0, custom-skill (2 skills from ~/.openclaw/skills/) Proceed?

Step 3 — Execute and report

node {baseDir}/scripts/clawctl.mjs save <ref> -o <path> --description "<desc>"

After success, tell the user:

  1. The file location and size
  2. How many files were included
  3. How many credentials were stripped (reassure them it's safe to share)
  4. How to transfer it: "Copy this file to another machine, then tell that machine's OpenClaw '请安装这个 claw 包'"

Import Workflow

When the user says things like "导入 claw", "install this claw", "load this package", or provides a .claw file path:

Step 1 — Locate the .claw file

If the user didn't specify a path, search for it:

# Check common locations
ls ~/Desktop/*.claw ~/Downloads/*.claw /tmp/*.claw ~/*.claw 2>/dev/null

If multiple .claw files found, list them and ask which one. If none found, ask the user for the path.

Step 2 — Preview first (always)

ALWAYS dry-run before installing:

node {baseDir}/scripts/clawctl.mjs load <file> --dry-run

Present the preview to the user clearly:

  • Package name and description
  • Number of workspace files (list them)
  • Required credentials that need to be configured
  • Required skills that need to be installed

Step 3 — Analyze conflicts

Before installing, check what already exists:

# Check if workspace files would be overwritten
ls ~/.openclaw/workspace/

If existing files would be overwritten, WARN the user explicitly:

The following files already exist and will be overwritten: - IDENTITY.md - SOUL.md Your current agent personality will be replaced. A backup will be created automatically so you can rollback if needed. Continue?

Step 4 — Install (with auto-backup)

The load command automatically creates a backup before installing:

node {baseDir}/scripts/clawctl.mjs load <file>

This will output something like:

  Creating backup before install...
  Backup created: 20260308-143022 (12 files)
  Rollback with: clawctl rollback 20260308-143022

Tell the user the backup id and reassure them they can rollback at any time.

Step 5 — Post-install intelligence

This is where AI adds the most value. The load command already handles:

  • Auto-backup before install (with rollback id)
  • Workspace file installation
  • Bundled skill installation (skills packaged in the .claw are auto-installed to ~/.openclaw/skills/)
  • Existing skill version comparison (skips if same or newer version already installed)

After the load command completes, the agent should handle:

  1. Skill gap check — The load output shows "Additional skills referenced in config (not bundled, may be built-in)". For each:

- If it's a built-in OpenClaw skill (like coding-agent, github), it's already available — no action needed. - If it's a ClawHub skill, offer to install:

   clawhub install <skill-name> --workdir ~/.openclaw
  1. Config merge — Read both ~/.openclaw/openclaw.json and ~/.openclaw/openclaw.imported.json. Identify what the imported config adds (new model providers, channel settings, skill configurations) vs what the current config already has. Present a summary:

> The imported config includes: > - Telegram channel config (needs bot token) > - Custom model provider "kimi-code" > - Skill config for "nano-banana-pro" > > Your current config already has: [list] > New items to merge: [list] > Shall I merge the non-sensitive settings?

If the user agrees, read both JSON files, merge intelligently (keep current credentials, add new non-sensitive settings), and write back to openclaw.json.

  1. Credential checklist — For each $CLAW_PLACEHOLDER in the imported config, tell the user exactly what they need to set:

> To complete the setup, you need to configure: > - Telegram bot token: openclaw config set channels.telegram.botToken <your-token> > - Gateway auth token: openclaw config set gateway.auth.token <your-token>

  1. Verification — After everything is done, do a quick health check:
   # Verify workspace files are in place
   ls ~/.openclaw/workspace/
   # Verify skills are installed
   ls ~/.openclaw/skills/
   # Verify config is valid JSON
   node -e "JSON.parse(require('fs').readFileSync(require('os').homedir()+'/.openclaw/openclaw.json','utf8')); console.log('Config OK')"

Rollback Workflow

When the user says "回滚", "rollback", "undo import", "restore my old config":

Step 1 — List available backups

node {baseDir}/scripts/clawctl.mjs backups

Show the user what's available with timestamps and labels.

Step 2 — Confirm which backup to restore

If only one backup exists, confirm:

Found 1 backup: 20260308-143022 (before-load:my-bot.claw, 12 files) Restore this? A safety backup of your current state will be created first.

If multiple, ask user to pick.

Step 3 — Execute rollback

node {baseDir}/scripts/clawctl.mjs rollback <id>

The rollback command automatically creates a safety backup of the current state before restoring, so the user can undo the undo if needed.

Step 4 — Verify

ls ~/.openclaw/workspace/

Confirm the restored files match expectations.

Manual Backup Workflow

When the user says "备份一下当前状态", "save a checkpoint", "backup before I try something":

node {baseDir}/scripts/clawctl.mjs backup --label "user description here"

Report the backup id so they can reference it later.

Edge Cases

  • User says "导出" without any context: Gather info first, then propose defaults. Never ask more than 2 questions.
  • User provides a URL instead of a file path: Download the file first with curl -o /tmp/downloaded.claw <url>, then proceed with import.
  • Import on a fresh OpenClaw with no existing config: Skip conflict checking, just install everything directly. Auto-backup still runs (backs up the empty state — gives a clean rollback target).
  • User wants to export + share in one step: After export, suggest easy transfer methods (AirDrop, scp, cloud drive).
  • Multiple .claw files: If the user says "install all claw packages", iterate through them one by one with preview for each.
  • Rollback chain: Each rollback creates a safety backup, so the user can always undo a rollback. Explain this when asked.
  • Disk space: If the user has many backups, suggest cleaning old ones: rm -rf ~/.openclaw/.agentar-backups/<old-id>.

What Gets Exported

  • Workspace files (system prompt, agent personality, custom instructions)
  • Sanitized configuration (credentials replaced with $CLAW_PLACEHOLDER)
  • All user-installed skills from ~/.openclaw/skills/ (full files, auto-installed on import)
  • Skill list and channel list (metadata for dependency tracking)

What Does NOT Get Exported

  • API keys, tokens, passwords (automatically stripped)
  • Session logs and history
  • Memory (unless --include-memory is specified)
  • Credentials directory
  • Binary files (images, keys, certificates)

What Gets Backed Up (on load/rollback)

  • All workspace files (~/.openclaw/workspace/)
  • Configuration (~/.openclaw/openclaw.json)
  • Stored in ~/.openclaw/.agentar-backups/<timestamp>/

平台分布

OpenClaw

91.83%
按下载量换算2,777

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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