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在 OpenClaw 中安装
/install ai-agent-helper-moss
功能描述
AI Agent 設定同優化助手 - Prompt Engineering、Task Decomposition、Agent Loop設計
使用说明 (SKILL.md)
AI Agent Helper
幫你setup同優化AI Agents既技能。
功能
- 📝 Prompt Engineering - 整高質量system prompts
- 🔄 Task Decomposition - 將複雜任務拆解
- ⚙️ Agent Loop設計 - ReAct/ReAct/Chain-of-Thought
- 🎯 Tool Selection - 最佳化agent既tool usage
使用場景
"帮我整prompt" / "點樣set AI agent" / "優化agent response"
技術
- System Prompt優化
- Few-shot examples
- Output parsing (JSON/structured)
- Error handling patterns
- Token優化
範例
# Good prompt structure
system = """你係{role}。
目標：{goal}
限制：{constraints}
Output格式：{format}"""
安全使用建议
This is an instruction-only skill for prompt engineering and agent-loop design and does not request secrets or install code, so it's internally coherent and low-risk. Before installing, consider: 1) the skill's source and author are unknown—prefer skills with a verifiable homepage or trusted publisher; 2) the _meta.json metadata differs from the registry metadata (ownerId/slug/version mismatch), which is likely a packaging mistake but worth noting; 3) never paste sensitive credentials or private data into prompts or examples provided to the skill; and 4) if you need stronger assurance, ask the publisher for a canonical source or a signed release.
功能分析
Type: OpenClaw Skill
Name: ai-agent-helper-moss
Version: 1.0.1
The skill bundle is a purely informational guide for prompt engineering and AI agent optimization. It contains no executable code, network requests, or suspicious instructions, focusing entirely on providing templates and best practices for structuring AI prompts and workflows within SKILL.md.
能力评估
Purpose & Capability
The skill's name, description, and runtime instructions all describe prompt engineering and agent-loop design; no extra capabilities or credentials are requested. Minor packaging inconsistencies exist (different ownerId/slug/version in _meta.json vs registry metadata), which look like a metadata error rather than malicious behavior.
Instruction Scope
SKILL.md contains bounded guidance for prompt structure, decomposition, and agent loop patterns. It does not instruct the agent to read files, access environment variables, contact external endpoints, or exfiltrate data.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes disk/network risk.
Credentials
No environment variables, credentials, or config paths are requested. This is proportional to a prompt-engineering helper.
Persistence & Privilege
No 'always: true' or other elevated persistence requested; default agent invocation settings are used.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install ai-agent-helper-moss - 安装完成后，直接呼叫该 Skill 的名称或使用
/ai-agent-helper-moss触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.1
- Updated the skill name from "ai-agent-helper-moss" to "ai-agent-helper-moss-moss" in SKILL.md.
- No other changes to features or content.
v1.0.0
- Initial release of AI Agent Helper (版本 1.0.1)
- 提供 Prompt Engineering、Task Decomposition、Agent Loop 設計等功能
- 幫助 setup 及優化 AI Agents，包括 Tool Selection
- 支援技術如 system prompt 優化、few-shot examples、output parsing、error handling、token優化
- 適用於構建和優化 AI agent prompts 及回應
元数据
常见问题
Ai Agent Helper Moss 是什么？
AI Agent 設定同優化助手 - Prompt Engineering、Task Decomposition、Agent Loop設計. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 779 次。
如何安装 Ai Agent Helper Moss？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-agent-helper-moss」即可一键安装，无需额外配置。
Ai Agent Helper Moss 是免费的吗？
是的，Ai Agent Helper Moss 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Ai Agent Helper Moss 支持哪些平台？
Ai Agent Helper Moss 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Ai Agent Helper Moss？
由 MemoryF（@memoryf）开发并维护，当前版本 v1.0.1。
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