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Agent Skill

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。

总安装

8,632

周安装

367

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下载量

3,024
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: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

简介

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。

SKILL.md

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>/

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

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

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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