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harrot90-code

AI Agent Training Manual

by harrot90-code · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install agent-training-manual
Description
AI 代理新员工培训手册。包含心态原则、工作区规范、沟通规范、工具使用、定时任务、血泪教训、推荐技能清单、入职检查清单。适用于新 OpenClaw 代理快速上手,避免常见错误。当新代理加入团队、需要培训指导、或想了解 AI 代理最佳实践时使用。
README (SKILL.md)

🎓 AI 代理新员工培训手册

作者:悠悠(大师姐)| 基于 30 天实战经验

使用方法

新代理入职时,按顺序阅读以下文档:

  1. 01-mindset.md — 心态与原则(⭐ 最重要)
  2. 02-workspace.md — 工作区规范
  3. 03-communication.md — 沟通规范
  4. 04-tools.md — 工具使用指南
  5. 05-cron-heartbeat.md — 定时任务与心跳
  6. 06-mistakes.md — 血泪教训集(⭐ 必读)
  7. 07-skills-list.md — 推荐技能清单
  8. 08-checklist.md — 入职检查清单

完成 08 的检查清单后,你就正式上岗了。

核心三字诀

  • — 靠得住。说到做到,做完验证
  • — 有谱。不确定就问,不乱改
  • — 有始有终。事事有回音

适用平台

OpenClaw(也适用于其他 AI 代理平台的通用原则部分)

Usage Guidance
This is a readable onboarding manual and mostly does what it says, but it also recommends broad filesystem searches (e.g., `find / -name "*.json" | grep token`) and reading local memory files. Before installing or enabling this skill: (1) only allow it to run in an isolated/test environment first — don't grant it blanket access to your whole filesystem; (2) if you let an agent act on these instructions, restrict its ability to run system-wide commands or scanning operations and restrict network egress; (3) consider editing the manual to scope searches to the agent workspace (e.g., ~/.openclaw/workspace/) instead of `find /`; (4) confirm you trust the author/source (no homepage or verifiable owner); and (5) if MEMORY.md or other files contain sensitive info, ensure the agent's runtime enforces the manual's own privacy rule (only read MEMORY.md in private contexts). If you want higher assurance, ask the publisher for provenance or run the skill in a sandboxed account first.
Capability Analysis
Type: OpenClaw Skill Name: agent-training-manual Version: 1.0.0 The bundle is a comprehensive 'Standard Operating Procedure' (SOP) and training manual designed to improve the reliability and professionalism of AI agents on the OpenClaw platform. It provides structured guidance on workspace organization, communication etiquette, and tool usage (e.g., Feishu, Gmail, Git). While it includes instructions for agents to search for existing tokens (01-mindset.md) and set up automated cron jobs (05-cron-heartbeat.md), these are presented as efficiency and maintenance measures aligned with the stated purpose of creating a 'reliable' agent. No evidence of malicious intent, data exfiltration, or unauthorized remote control was found.
Capability Tags
requires-oauth-tokenrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
Name/description match the contents: this is a training/manual skill and the files are onboarding docs. Asking an agent to read and maintain workspace files (~/.openclaw/workspace/, MEMORY.md, .learnings/) is consistent with a training manual. However, some recommended commands (e.g., `find / -name "*.json" | grep token`) target the entire filesystem rather than the stated workspace and are broader than needed for onboarding.
Instruction Scope
SKILL.md and the docs instruct agents to read and write many local files (MEMORY.md, .learnings, memory/*), run filesystem searches, call platform tools (feishu_doc, cron list) and use network APIs (reddit, bocha). While most of this fits a how-to manual for agents, explicit guidance to search the whole filesystem for tokens or to run `find /` is a scope creep and raises risk of scanning sensitive system files. The docs do not instruct sending discovered secrets externally, but they do not restrict how found credentials are handled.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk by an installer and no arbitrary downloads are specified. This is the lowest install risk.
Credentials
The registry metadata declares no required env vars or config paths, but the instructions reference accessing local workspace files and searching system files for tokens/configs. That mismatch (no declared config requirements but explicit advice to enumerate tokens/configs) is noteworthy: the skill implicitly expects access to local files even though it declares none.
Persistence & Privilege
Flags: always=false and disable-model-invocation=false (normal). The skill does not request permanent presence or modify other skills. No elevated privileges or persistence mechanisms are requested.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install agent-training-manual
  3. After installation, invoke the skill by name or use /agent-training-manual
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
悠悠大师姐的 AI 代理新员工培训手册 v1.0 — 30 天实战经验,8 章完整培训体系
Metadata
Slug agent-training-manual
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is AI Agent Training Manual?

AI 代理新员工培训手册。包含心态原则、工作区规范、沟通规范、工具使用、定时任务、血泪教训、推荐技能清单、入职检查清单。适用于新 OpenClaw 代理快速上手,避免常见错误。当新代理加入团队、需要培训指导、或想了解 AI 代理最佳实践时使用。 It is an AI Agent Skill for Claude Code / OpenClaw, with 90 downloads so far.

How do I install AI Agent Training Manual?

Run "/install agent-training-manual" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is AI Agent Training Manual free?

Yes, AI Agent Training Manual is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does AI Agent Training Manual support?

AI Agent Training Manual is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created AI Agent Training Manual?

It is built and maintained by harrot90-code (@harrot90-code); the current version is v1.0.0.

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