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在 OpenClaw 中安装
/install robust-agent-design
功能描述
Apply robust Agent design patterns for building fault-tolerant, state-driven automation systems. Use when designing or refactoring systems that require high...
安全使用建议
This skill appears to be legitimate instructional material with working Python templates. Before using in production: (1) review and test the provided Python code yourself; (2) configure state persistence (avoid leaving sensitive state on disk — use encrypted storage or memory if appropriate); (3) remove or control any simulated randomness and test-only failure rates (e.g., random failures in examples); (4) audit any compensation actions you add to ensure they don't perform unsafe side effects (external calls, destructive operations); and (5) run examples in an isolated environment until you are satisfied with behavior.
功能分析
Type: OpenClaw Skill
Name: robust-agent-design
Version: 1.0.0
The skill bundle provides a comprehensive framework and educational templates for designing robust, fault-tolerant AI agents using state-driven patterns and compensation transactions. The included Python code (agent_template.py and compensation_example.py) and documentation (SKILL.md) are well-structured, follow standard software engineering practices, and contain no evidence of malicious behavior, data exfiltration, or unauthorized execution.
能力标签
能力评估
Purpose & Capability
The name/description (robust agent design, fault tolerance, compensation patterns) matches the SKILL.md content and the included Python template/example files. The code and prose focus on state-driven agents, retries, compensation transactions, and persistence — all coherent with the stated purpose.
Instruction Scope
SKILL.md is a design/instruction document and does not instruct the agent to read unrelated host files, call external endpoints, or collect hidden data. The included code examples implement state persistence and compensation logic but do not send data to external services (EmailService/NotificationService are simulated in-memory).
Install Mechanism
There is no install specification; this is instruction-only with example code files. No packages are downloaded or executed automatically as part of installation.
Credentials
The skill requests no environment variables or credentials (good). One design choice to note: the Python template defaults to file-based state persistence and writes a state file under /tmp/agent_<uuid>.state. Persisted state contains metadata and an input checksum (not raw input), but you should consider whether file persistence is acceptable for your environment and whether state files could expose sensitive metadata.
Persistence & Privilege
The skill does not request elevated privileges and always:false. It does write local state files by default (under /tmp) and maintains in-memory logs in examples. This is expected for agent state persistence, but you may want to configure state_persistence to a secure location or memory-only mode before using in production.
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 robust-agent-design - 安装完成后，直接呼叫该 Skill 的名称或使用
/robust-agent-design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
v1.0.0
Initial release: robust Agent design patterns for fault-tolerant automation systems
元数据
常见问题
Robust Agent Design 是什么？
Apply robust Agent design patterns for building fault-tolerant, state-driven automation systems. Use when designing or refactoring systems that require high... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 105 次。
如何安装 Robust Agent Design？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install robust-agent-design」即可一键安装，无需额外配置。
Robust Agent Design 是免费的吗？
是的，Robust Agent Design 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Robust Agent Design 支持哪些平台？
Robust Agent Design 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 Robust Agent Design？
由 bhbb2000（@bhbb2000）开发并维护，当前版本 v1.0.0。
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