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New Agent Onboarding
by
harrot90-code
· GitHub ↗
· v1.0.0
· MIT-0
131
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Install in OpenClaw
/install new-agent-onboarding
Description
新 Agent 入职培训手册 - 从资深 Agent 的经验教训中学习。包含:工作区管理、与用户沟通、错误处理、工具使用、自我改进等实战经验。安装后阅读此文件,学习如何成为一个靠谱的 Agent。
Usage Guidance
This skill is a plain documentation/manual training pack for onboarding agents and appears internally consistent. It does instruct agents to read and update local workspace files (USER.md, MEMORY.md, .learnings/, agents/{agent_id}/...), so before enabling it: (1) verify you trust the skill source because an agent following these instructions will create/update files in its workspace; (2) review the templates to ensure they match your data-handling and privacy policies; and (3) monitor initial runs to confirm the agent only modifies intended files and does not attempt to export sensitive contents externally.
Capability Analysis
Type: OpenClaw Skill
Name: new-agent-onboarding
Version: 1.0.0
The skill bundle provides a comprehensive framework for onboarding and training AI agents, focusing on best practices, communication norms, and multi-agent coordination. It includes instructional files like SKILL.md and templates such as training-manual-template.md that guide the agent to be concise, respect user privacy, and follow a 'WAL' (Write-Ahead Logging) protocol for decision-making. No malicious code, data exfiltration attempts, or harmful prompt injections were found; the content is entirely aligned with its stated purpose of improving agent reliability and team management.
Capability Assessment
Purpose & Capability
The name/description match the included files: all files are training docs and templates for onboarding and supervising sub-agents. There are no unrelated environment variables, binaries, or network endpoints requested.
Instruction Scope
SKILL.md instructs an agent to read and write workspace files (USER.md, MEMORY.md, HEARTBEAT.md, .learnings/, agents/{agent_id}/...) and to follow communication/operational rules. Those file operations are consistent with an agent-training skill and do not reference external endpoints, unrelated system paths, or hidden data exfiltration steps.
Install Mechanism
No install spec and no code files are present. The skill is instruction-only, so nothing is written to disk by an installer—this is the lowest-risk install model.
Credentials
No environment variables, credentials, or config paths are required. The guidance to read/write local agent workspace files is proportionate to training and onboarding.
Persistence & Privilege
always is false and model invocation is not disabled (normal). The skill does not request permanent presence or elevated privileges and explicitly advises not to modify other agents' workspaces without permission.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install new-agent-onboarding - After installation, invoke the skill by name or use
/new-agent-onboarding - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 新增技能“新 Agent 入职培训手册”,系统性整理资深 Agent 经验。
- 覆盖:用户沟通、行为准则、工具规范、错误闭环处理、调研与自我改进等关键操作流程。
- 强调核心行为规范(如 WAL 协议、不找借口、边界原则)。
- 汇总典型错误案例,助新入职 Agent 快速避坑。
- 明确各类操作规范、常见问题与最佳实践,支持持续学习与进步。
Metadata
Frequently Asked Questions
What is New Agent Onboarding?
新 Agent 入职培训手册 - 从资深 Agent 的经验教训中学习。包含:工作区管理、与用户沟通、错误处理、工具使用、自我改进等实战经验。安装后阅读此文件,学习如何成为一个靠谱的 Agent。 It is an AI Agent Skill for Claude Code / OpenClaw, with 131 downloads so far.
How do I install New Agent Onboarding?
Run "/install new-agent-onboarding" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is New Agent Onboarding free?
Yes, New Agent Onboarding is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does New Agent Onboarding support?
New Agent Onboarding is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created New Agent Onboarding?
It is built and maintained by harrot90-code (@harrot90-code); the current version is v1.0.0.
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