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Openclaw Onboarding
by
binson1994
· GitHub ↗
· v1.0.0
· MIT-0
191
Downloads
0
Stars
3
Active Installs
1
Versions
Install in OpenClaw
/install openclaw-onboarding
Description
Guide new users to quickly learn and use OpenClaw features, including setup, skill discovery, memory, self-learning, and group chat summary.
Usage Guidance
This onboarding skill is mostly what it says (setup steps, teaching local "memory", installing a local skill-finder), but it has a few risky or unclear behaviors you should consider before installing:
- Persistent writes: it will create ~/.openclaw and write user.md and MEMORY.md automatically when you tell it to "记住" something. If you care about sensitive data, avoid saving secrets and consider where those files will be stored/backed up.
- Auto-install behavior: the guide installs a 'find-skills' tool and demonstrates running commands that can auto-install other skills (clawhub install, npx skills add) with '-y' or '--yes' flags that skip confirmation. Any skill pulled from the network can run code on your machine — review or sandbox installs, and prefer not to allow automatic global installs without inspection.
- External service access not declared: the guide uses commands that create Feishu docs and summarize group chats, but it doesn't list required credentials. Verify which connectors (Feishu, chat platform) are configured and who has access before using those features.
- Supply-chain and privilege mitigation: if you proceed, consider (a) running initial installs in a sandbox or VM, (b) inspecting any skill package before allowing network installs, (c) disabling or limiting auto-write of memory files, and (d) removing/asking to remove automatic '-y'/'-g' flags so installations require explicit consent.
If you want higher assurance, ask the author for an explicit list of required credentials and which external services are used, or request that installs prompt for confirmation rather than proceeding automatically.
Capability Analysis
Type: OpenClaw Skill
Name: openclaw-onboarding
Version: 1.0.0
The 'openclaw-onboarding' skill bundle is a legitimate tutorial designed to guide new users through the OpenClaw platform. It uses shell commands to create a local configuration directory (~/.openclaw/) and store user preferences and 'memories' in markdown files (user.md, MEMORY.md). It also demonstrates the use of the platform's package management system (clawhub and npx skills) to install additional capabilities like 'find-skills' and 'browser-use'. The shell scripts use safe patterns (such as quoted heredocs) to prevent injection, and all actions are transparently documented and aligned with the stated purpose of onboarding.
Capability Assessment
Purpose & Capability
The name and description (onboarding/new‑user guide) match the instructions: setup, showing abilities, teaching 'remember' and installing a skill-finder. However some claimed capabilities (summarize arbitrary group chats, create Feishu documents) imply access to external services that the skill does not declare or request credentials for.
Instruction Scope
SKILL.md and quickstart explicitly instruct the agent to create ~/.openclaw, write user.md and MEMORY.md (persistent storage), install a local find-skills package, run 'clawhub group-chat-summary' and 'clawhub create-doc' to produce Feishu docs, and later to install third‑party skills. Writing persistent files is expected for onboarding but the instructions also enable autonomous installation and external data access without requiring explicit user confirmation or declared credentials.
Install Mechanism
The skill is instruction-only (no install spec) which is low direct install risk. But the instructions encourage using clawhub and npx skills to install other skills (including using -y/--yes flags and global installs) and to run 'npx skills add' which will fetch code from the network. That implies downstream supply‑chain risk even if this package itself doesn't fetch remote assets.
Credentials
The skill declares no required env vars or credentials, yet the runtime steps call out Feishu document creation and group-chat summaries. In practice those operations require connectors/credentials (Feishu tokens, chat API keys, or platform integrations). The absence of declared credential requirements is an incoherence and hides a practical dependency on accounts/keys which affect privacy and access control.
Persistence & Privilege
The skill writes persistent files under ~/.openclaw (user.md, MEMORY.md) and teaches automatic saving whenever the user says '记住XXX'. It also instructs installing additional skills automatically (clawhub install ... --yes, npx skills add -g -y). While not marked always:true, this pattern enables an agent to expand its capability and persist data without repeated explicit user confirmation — a privilege that increases blast radius if misused.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openclaw-onboarding - After installation, invoke the skill by name or use
/openclaw-onboarding - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
OpenClaw Onboarding 1.0.0
- 全新推出新手上手流程,5-10分钟即可熟悉 OpenClaw 基本用法
- 明确列出核心指令及功能,便于快速查找与实操
- 支持快速设置、能力发现、永久记忆、技能自查与群聊总结
- 提供多种启动关键词,适配常见新手需求
- 附带详细文件结构及本地安装说明
Metadata
Frequently Asked Questions
What is Openclaw Onboarding?
Guide new users to quickly learn and use OpenClaw features, including setup, skill discovery, memory, self-learning, and group chat summary. It is an AI Agent Skill for Claude Code / OpenClaw, with 191 downloads so far.
How do I install Openclaw Onboarding?
Run "/install openclaw-onboarding" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Openclaw Onboarding free?
Yes, Openclaw Onboarding is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Openclaw Onboarding support?
Openclaw Onboarding is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Openclaw Onboarding?
It is built and maintained by binson1994 (@binson1994); the current version is v1.0.0.
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