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Agent Skill · 研究检索

openclaw-agent-onboarding(OpenClaw Agent 入门)

openclaw-agent-onboarding 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。

openclaw-agent-onboarding 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 35,729。

总安装 2,037周安装 75GitHub Stars 1下载 211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
1.1.0

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:openclaw-agent-onboarding(OpenClaw Agent 入门)
来源仓库:https://github.com/xb19960921/openclaw-agent-onboarding
安装命令:
openclaw skills install openclaw-agent-onboarding
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 openclaw-agent-onboarding

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。

openclaw-agent-onboarding 初始化、诊断或升级 OpenClaw 设置。支持修复、运行状况检查与新实例部署。当用户需要配置或维护 OpenClaw 环境时使用。安装前需确认权限范围与维护状态,可能涉及系统级操作。建议结合来源仓库和原始 README 核验诊断命令与回滚机制。

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 openclaw-agent-onboarding;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

openclaw-agent-onboarding 怎么安装?

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

openclaw-agent-onboarding 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。

openclaw-agent-onboarding 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。

openclaw-agent-onboarding 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。

openclaw-agent-onboarding 用的人多吗?

公开数据是累计安装 2,037 次,近一周安装 75 次,下载 211 次,GitHub 1 星。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。

openclaw-agent-onboarding 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

  • 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

  • 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
openclaw-agent-onboarding

OpenClaw Agent 入门 · 本页

2,0371接触敏感数据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
openclaw-agent-onboarding
description
OpenClaw 个人 AgentOS 初始化向导 / Bootstrapper。Use when a user wants to initialize, diagnose, upgrade, repair, or health-check a new or existing OpenClaw setup; install baseline skills; add web search and skill discovery; set up HOT/WARM/COLD memory; create an Obsidian-friendly Markdown knowledge base; configure Agent teams; establish self-evolution workflows; reduce context pollution; or bootstrap OpenClaw into a personal AgentOS. 触发词:OpenClaw 初始化、AgentOS 启动器、新用户引导、安装必要 skill、搭建三层记忆、个人知识库、Obsidian、Agent 团队、自进化、健康检查、一键修复、一键升级、上下文污染治理。
version
0.1.0
author
OpenClaw
tags
[openclaw, onboarding, agentos, memory, skills, knowledge-base, obsidian, health-check]

OpenClaw AgentOS Onboarding

This skill bootstraps a fresh or underpowered OpenClaw setup into a safe, maintainable personal AgentOS.

Prime directive

Do not merely explain. Diagnose, generate a change plan, ask for confirmation for risky writes/installs, execute safe steps, verify, and report.

Default execution contract:

Preflight → Plan → Confirm risky changes → Execute → Verify → Report → Leave rollback notes

Safety rules

  • Never delete user files.
  • Never overwrite AGENTS.md, MEMORY.md, SOUL.md, TOOLS.md, USER.md, DREAMS.md.
  • For existing bootstrap/reference files: create backups, generate patch suggestions, or append clearly marked sections only after confirmation.
  • Do not install unknown-source skills automatically.
  • Do not perform paid API/cloud actions without explicit confirmation.
  • Do not write private user content into reusable public templates.
  • Mark API-key-dependent skills before installing or configuring.
  • Prefer incremental safe fixes; separate safe-fix, needs-confirm, and manual actions.

Operating modes

Respond to either slash-style requests or natural language equivalents:

/agentos bootstrap
/agentos diagnose
/agentos init
/agentos install
/agentos repair
/agentos upgrade
/agentos health
/agentos memory-check
/agentos skill-check
/agentos kb-init
/agentos kb-check
/agentos kb-obsidian
/agentos context-clean
/agentos report

Natural-language triggers include: “帮我初始化 OpenClaw”, “一键升级到 AgentOS”, “安装必要 skill”, “搭建三层记忆”, “搭建个人知识库”, “检查上下文污染”, “做健康检查”.

Darwin optimization note

This skill was optimized with the Darwin rubric focus: concrete workflow, explicit boundaries, progressive disclosure, verification outputs, and common user prompts. Typical test prompts are stored in test-prompts.json.

Decision matrix

Choose the narrowest mode that satisfies the user:

User intentModeReferences to readDefault action
“刚装 OpenClaw / 不知道怎么开始”bootstrapskill-baseline.md, then diagnoseStage 0 + readiness report
“安装必要 Skill / 没搜索能力”installskill-baseline.md, safety-policy.mdskill plan + confirmed install
“搭三层记忆 / 解决失忆”memory setupmemory-architecture.mdcreate missing dirs/templates only
“搭个人知识库 / Obsidian”kb-initknowledge-base.mdcreate Markdown vault; Obsidian optional
“搭 Agent 团队”agent-teamagent-team.mdpropose profile; do not overcomplicate
“自进化 / SOP / Skill 草稿”self-evolutionself-evolution.mdcreate workflow dirs/templates
“健康检查 / 修复污染”health/repairhealth-checks.md, context-hygiene.mddiagnose + classify fixes
“安全/覆盖/安装来源”safety reviewsafety-policy.mdblock risky action until confirmed

Required output formats

Change plan

Goal:
Current level:
Target level:
Safe changes:
Needs confirmation:
Manual steps:
Files/directories affected:
Skills to install:
Verification commands/checks:
Rollback notes:

Final report

Current level → Target level:
Completed:
Skipped:
Installed/missing skills:
Created files/dirs:
Backups/patches:
Health score:
Risks/Pending confirmations:
Next 3 actions:

Workflow

1. Diagnose first

Check:

OpenClaw/gateway status, workspace path, skills dir, memory dir, docs dir,
AGENTS.md/MEMORY.md/SOUL.md/TOOLS.md/USER.md presence,
installed skills, clawhub/find-skill availability, web search availability,
git status, cron/heartbeat, memory structure, knowledge base, Agent team config,
context pollution, duplicate/broken skills.

Output maturity level:

Level 0 fresh install
Level 1 basic assistant
Level 2 assistant with memory
Level 3 AgentOS with knowledge base/workflows
Level 4 multi-agent + self-evolution + health checks
Level 5 advanced personal AgentOS

2. Bootstrap Stage 0: skill discovery + web search

If the user lacks skill discovery or web search, fix this before advanced setup.

Minimum survival package:

clawhub
find-skill
openclawmp
markdown

If clawhub is missing, recommend or run after confirmation:

npm i -g clawhub

Search/install examples:

clawhub search "web search"
clawhub install find-skill
clawhub install openclawmp
clawhub install markdown

If offline, generate directories/templates/manual install checklist and tell user to rerun install after network returns.

For detailed skill groups and non-ClawHub links, read references/skill-baseline.md.

3. Install baseline skill packages

Use packages from references/skill-baseline.md:

bootstrap-minimal
bootstrap-search
bootstrap-docs
bootstrap-agentos-core
bootstrap-skill-lab
bootstrap-engineering
bootstrap-design
bootstrap-creator

Default standard order:

1. bootstrap-minimal
2. bootstrap-search
3. bootstrap-docs
4. bootstrap-agentos-core
5. bootstrap-skill-lab

Always mark each skill as: installed / missing / failed / needs API key / non-ClawHub / manual.

4. Set up HOT/WARM/COLD memory

Create or propose:

MEMORY.md                 # HOT, ≤150 lines recommended
memory/index.md
memory/projects/
memory/domains/
memory/people/
memory/preferences/
memory/decisions.md
memory/gotchas.md
memory/archive/
memory/logs/
memory/raw/

Rules: temporary info never goes into HOT; long content goes to WARM/COLD; conflicts are flagged, not overwritten. See references/memory-architecture.md.

5. Set up personal knowledge base / Obsidian-friendly vault

Create Markdown-first vault under memory/wiki/; Obsidian is optional.

Recommended structure:

memory/wiki/00 Inbox/
memory/wiki/01 Projects/
memory/wiki/02 Areas/
memory/wiki/03 Resources/
memory/wiki/04 Concepts/
memory/wiki/05 People/
memory/wiki/06 Decisions/
memory/wiki/07 Workflows/
memory/wiki/08 Skills/
memory/wiki/09 Reviews/
memory/wiki/99 Archive/

Knowledge flow:

Capture → Distill → Link → Operationalize → Archive

Tell users: without Obsidian, OpenClaw still works via Markdown; with Obsidian, open memory/wiki/ as a vault to see graph/backlinks. See references/knowledge-base.md.

6. Configure Agent team

Offer three profiles:

single: main-agent
three-agent: architect → executor → auditor
six-agent: pm → architect → reasoner → coder → auditor → monitor

Do not force multi-agent complexity on beginners. See references/agent-team.md.

7. Establish self-evolution workflows

Create or propose:

memory/wiki/07 Workflows/TaskNotes/
memory/wiki/07 Workflows/SOP/
memory/wiki/07 Workflows/SkillDrafts/
memory/wiki/07 Workflows/ContextCaptures/
memory/wiki/07 Workflows/Checkpoints/
memory/wiki/07 Workflows/Evaluations/
memory/wiki/07 Workflows/SecurityIntake/

Flow:

Task → TaskNote → SOP → SkillDraft → vetter → official Skill → index

See references/self-evolution.md.

8. Health checks and repair/upgrade

Health check dimensions:

skills, memory, knowledge base, context hygiene, Agent team, cron/heartbeat,
OpenClaw service, logs, git state, security risks.

Output a score and separate P0/P1/P2 issues. For details, see references/health-checks.md and references/context-hygiene.md.

9. Verify

Before final report, verify what changed:

- directories/files exist
- protected files were not overwritten
- installed skills contain SKILL.md
- diagnose script still emits valid JSON
- memory/wiki structure exists if requested
- health issues are classified as P0/P1/P2

If verification fails, report the blocker and propose repair; do not claim success.

10. Final report

Always finish with:

current level, target level, completed changes, installed/missing skills,
created directories/files, backups, risks, pending confirmations, next steps.

Implementation notes

  • For simple advisory requests, do not execute writes; produce a plan.
  • For initialization requests, create missing directories/templates only after confirming scope.
  • If using scripts, read or run files in scripts/ as needed. Scripts are helpers, not authority; safety rules above win.

平台分布

OpenClaw

89.93%
按下载量换算190

安全审计

VirusTotal

通过

ClawScan

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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