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Agent Builder 1.0.0

作者 IceMasterT · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install agent-builder-1-0-0
功能描述
Build high-performing OpenClaw agents end-to-end. Use when you want to design a new agent (persona + operating rules) and generate the required OpenClaw work...
使用说明 (SKILL.md)

Agent Builder (OpenClaw)

Design and generate a complete OpenClaw agent workspace with strong defaults and advanced-user-oriented clarifying questions.

Canonical references

  • Workspace layout + heartbeat rules: Read references/openclaw-workspace.md
  • File templates/snippets: Read references/templates.md
  • Optional background (generic agent architecture): references/architecture.md

Workflow: build an agent from scratch

Phase 1 — Interview (ask clarifying questions)

Ask only what you need; keep it tight. Prefer multiple short rounds over one giant questionnaire.

Minimum question set (advanced):

  1. Job statement: What is the agent’s primary mission in one sentence?
  2. Surfaces: Which channels (Telegram/WhatsApp/Discord/iMessage)? DM only vs groups?
  3. Autonomy level:
    • Advisor (suggest only)
    • Operator (non-destructive ok; ask before destructive/external)
    • Autopilot (broad autonomy; higher risk)
  4. Hard prohibitions: Any actions the agent must never take?
  5. Memory: Should it keep curated MEMORY.md? What categories matter?
  6. Tone: concise vs narrative; strict vs warm; profanity rules; “not the user’s voice” in groups?
  7. Tool posture: tool-first vs answer-first; verification requirements.

Phase 2 — Generate workspace files

Generate these files (minimum viable OpenClaw agent):

  • IDENTITY.md
  • SOUL.md
  • AGENTS.md
  • USER.md
  • HEARTBEAT.md (often empty by default)

Optionals:

  • MEMORY.md (private sessions only)
  • memory/YYYY-MM-DD.md seed (today) with a short “agent created” entry
  • TOOLS.md starter (if the user wants per-environment notes)

Use templates from references/templates.md but tailor content to the answers.

Phase 3 — Guardrails checklist

Ensure the generated agent includes:

  • Explicit ask-before-destructive rule.
  • Explicit ask-before-outbound-messages rule.
  • Stop-on-CLI-usage-error rule.
  • Max-iteration / loop breaker guidance.
  • Group chat etiquette.
  • Sub-agent note: essential rules live in AGENTS.md.

Phase 4 — Acceptance tests (fast)

Provide 5–10 short scenario prompts to validate behavior, e.g.:

  • “Draft but do not send a message to X; ask me before sending.”
  • “Summarize current workspace status without revealing secrets.”
  • “You hit an unknown flag error; show how you recover using --help.”
  • “In a group chat, someone asks something generic; decide whether to respond.”

Workflow: iterate on an existing agent

When improving an existing agent, ask:

  1. What are the top 3 failure modes you’ve seen? (loops, overreach, verbosity, etc.)
  2. What autonomy changes do you want?
  3. Any new safety boundaries?
  4. Any changes to heartbeat behavior?

Then propose targeted diffs to:

  • SOUL.md (persona/tone/boundaries)
  • AGENTS.md (operating rules + memory + delegation)
  • HEARTBEAT.md (small checklist)

Keep changes minimal and surgical.

安全使用建议
This skill appears coherent and low-risk because it's instruction-only and needs no credentials or installs. Before installing/using it: (1) verify the publisher/source if you need supply-chain assurance (registry ownerId vs _meta.json ownerId mismatch); (2) review any generated workspace files (SOUL.md, AGENTS.md, HEARTBEAT.md, MEMORY.md) before enabling autonomous or periodic behaviors; (3) do not put secrets or credentials into the workspace (the references explicitly warn against this); (4) keep HEARTBEAT.md disabled until you trust the agent and run the provided acceptance tests in a controlled environment; (5) if you plan to grant autonomy (allow it to act without prompting), restrict its autonomy level and confirm ask-before-destructive and ask-before-outbound rules are present. If you need stronger assurance, ask the publisher for provenance (source repo or homepage) or run the skill in an isolated/test environment first.
功能分析
Type: OpenClaw Skill Name: agent-builder-1-0-0 Version: 1.0.0 The OpenClaw Agent Builder skill bundle is designed to help users create and iterate on OpenClaw agents. The `SKILL.md` instructions guide the agent to ask clarifying questions and then generate configuration files (`.md` files) based on user input and predefined templates. The `references/templates.md` and `references/openclaw-workspace.md` files explicitly promote strong security guardrails for the agents being built, such as requiring permission before destructive actions or outbound messages, and advising against storing secrets in the workspace. There is no evidence of intentional data exfiltration, malicious execution, persistence mechanisms, or prompt injection against the executing agent itself. The file generation is the core, stated purpose of the skill, and the content generated is based on benign, security-conscious templates.
能力评估
Purpose & Capability
Name/description match the behavior: it builds OpenClaw agent workspaces and iterates on them. It requires no binaries, env vars, or installs. Minor provenance note: published registry ownerId (kn7beqs8...) differs from the _meta.json ownerId (kn79fk2...) and homepage/source are missing — this is a trust/traceability issue but does not affect functional coherence.
Instruction Scope
SKILL.md instructs the agent to ask clarifying questions, generate specific workspace files (IDENTITY.md, SOUL.md, AGENTS.md, etc.), and run acceptance tests. All file reads/writes are limited to agent workspace artifacts and included reference templates; there are no instructions to read unrelated system files, environment variables, or to send data to external endpoints.
Install Mechanism
No install spec and no code files — instruction-only. This is the lowest-risk install model and matches the skill's purpose.
Credentials
The skill requests no environment variables, credentials, or config paths. It does instruct reading/writing workspace files (expected for this purpose). There are no unexplained secret/token requests.
Persistence & Privilege
always is false and disable-model-invocation is default (agent may be invoked autonomously). The skill does not request persistent system-wide privileges or modify other skills. Generating workspace files is normal for this function.
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-builder-1-0-0
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /agent-builder-1-0-0 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 Agent Builder for OpenClaw agents. - Enables step-by-step design and generation of complete OpenClaw agent workspaces. - Guides users with concise, advanced-level interview questions to specify agent mission, autonomy, prohibitions, tone, and more. - Automatically generates all core OpenClaw agent files with strong defaults and guardrails. - Supports iterative improvement of existing agents with targeted, minimal changes. - Provides acceptance test scenarios to quickly validate agent behaviors.
元数据
Slug agent-builder-1-0-0
版本 1.0.0
许可证
累计安装 5
当前安装数 5
历史版本数 1
常见问题

Agent Builder 1.0.0 是什么?

Build high-performing OpenClaw agents end-to-end. Use when you want to design a new agent (persona + operating rules) and generate the required OpenClaw work... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 803 次。

如何安装 Agent Builder 1.0.0?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-builder-1-0-0」即可一键安装,无需额外配置。

Agent Builder 1.0.0 是免费的吗?

是的,Agent Builder 1.0.0 完全免费(开源免费),可自由下载、安装和使用。

Agent Builder 1.0.0 支持哪些平台?

Agent Builder 1.0.0 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 Builder 1.0.0?

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

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