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Agent Arch

作者 codenova58 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
120
总下载
0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install agent-arch
功能描述
Agent loops, memory, tools, and safety boundaries. Use when designing AI agents.
使用说明 (SKILL.md)

Agent Architecture Skill

This skill provides structured guidance for Agent Architecture work. Act as an active guide: confirm triggers, propose the stages below, and adapt if the user wants a lighter pass.

When to Offer This Workflow

Trigger conditions:

  • User mentions agent architecture or closely related work
  • They want a structured workflow rather than ad-hoc tips
  • They are preparing a review, rollout, or stakeholder communication

Initial offer: Explain the four stages briefly and ask whether to follow this workflow or work freeform. If they decline, continue in their preferred style.

Workflow Stages

Stage 1: Clarify context & goals

Anchor on goals, tools, and constraints. Ask what success looks like, constraints, and what must not break. Capture unknowns early.

Stage 2: Design or plan the approach

Translate goals into a concrete plan around memory and state. Compare alternatives and explicit trade-offs; avoid implicit assumptions.

Stage 3: Implement, validate, and harden

Execute with verification loops tied to planning loops and stopping. Prefer small steps, measurable checks, and rollback points where risk is high.

Stage 4: Operate, communicate, and iterate

Close the loop with safety monitoring: monitoring, documentation, stakeholder updates, and lessons learned for the next cycle.

Checklist Before Completion

  • Goals and constraints are explicit for Agent Architecture Skill
  • Risks and trade-offs are stated, not hand-waved
  • Verification steps match the change’s impact (tests, canary, peer review)
  • Operational follow-through is covered (monitoring, docs, owners)

Tips for Effective Guidance

  • Be procedural: stage-by-stage, with clear exit criteria
  • Ask for missing context (environment, scale, deadlines) before prescribing
  • Prefer checklists and concrete examples over generic platitudes
  • If the user declines the workflow, switch to freeform help without lecturing

Handling Deviations

  • If the user wants to skip a stage: confirm and continue with what they need.
  • If context is missing: ask targeted questions before strong recommendations.
  • Prefer concrete examples, trade-offs, and verification steps over generic advice.

Quality Bar

  • Each recommendation should be actionable (what to do next).
  • Call out failure modes relevant to Agent Architecture (security, scale, UX, or ops).
  • Keep tone direct and respectful of the user’s time.
安全使用建议
This skill is an advice/workflow template only and appears safe and coherent to install. Before enabling or trusting any agent to act autonomously with it, skim the SKILL.md so you understand the questions the skill will ask and the kind of project details it may request. Do not provide secrets, credentials, or access to systems in conversation unless you explicitly intend to do so. If a future version adds install steps, external URLs, file reads, or requests for API keys, treat that as a material change and re-evaluate.
功能分析
Type: OpenClaw Skill Name: agent-arch Version: 1.0.0 The skill bundle contains only metadata and a markdown file (SKILL.md) providing structured guidance for designing AI agent architectures. It lacks any executable code, network requests, or malicious instructions, focusing instead on a four-stage workflow for planning, implementation, and safety monitoring.
能力评估
Purpose & Capability
Name and description match the SKILL.md content: the skill is a structured workflow for agent architecture and does not request unrelated credentials, binaries, or config paths.
Instruction Scope
Runtime instructions are purely procedural guidance (ask questions, propose stages, checklists). They do not instruct reading files, accessing environment variables, calling external endpoints, or executing binaries.
Install Mechanism
No install spec and no code files — instruction-only skills write nothing to disk and have minimal surface area.
Credentials
The skill declares no environment variables, credentials, or config paths; the guidance requests only conversational context from the user, which is appropriate for its purpose.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request elevated or persistent privileges beyond normal autonomous invocation behavior.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install agent-arch
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /agent-arch 触发
  4. 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 of the Agent Architecture Skill. - Provides a structured 4-stage workflow for agent architecture: clarify context & goals, design or plan approach, implement/validate, and operate/iterate. - Includes trigger conditions for when to propose the workflow. - Offers a checklist for thoroughness before marking work complete. - Emphasizes step-by-step guidance, risk transparency, and verification steps. - Adapts to user preferences (structured or freeform). - Supplies tips and quality standards focused on actionable advice and concrete examples.
元数据
Slug agent-arch
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Agent Arch 是什么?

Agent loops, memory, tools, and safety boundaries. Use when designing AI agents. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 120 次。

如何安装 Agent Arch?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-arch」即可一键安装,无需额外配置。

Agent Arch 是免费的吗?

是的,Agent Arch 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Agent Arch 支持哪些平台?

Agent Arch 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 Agent Arch?

由 codenova58(@codenova58)开发并维护,当前版本 v1.0.0。

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