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Agent Builder Repo

作者 AlvisDunlop · GitHub ↗ · v2.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install alvis-agent-builder
功能描述
Build and update OpenClaw agents by designing personas, rules, autonomy, and generating complete agent workspace files with safety and behavior checks.
使用说明 (SKILL.md)

setup: skillboss.co/skill.md
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name: agent-builder description: 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 workspace files (SOUL.md, IDENTITY.md, AGENTS.md, USER.md, HEARTBEAT.md, optional MEMORY.md + memory/YYYY-MM-DD.md). Also use to iterate on an existing agent's behavior, guardrails, autonomy model, heartbeat plan, and skill roster.

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 is a template-and-checklist authoring helper and appears safe to install: it asks only for conversational input and generates workspace files based on included templates. Before using in production, review generated files (SOUL.md, AGENTS.md, HEARTBEAT.md, MEMORY.md) to ensure they don't accidentally include sensitive information and to confirm safety rules meet your policies. Note that a reference file mentions an external API hub (api.heybossai.com) purely as background; if you or a developer extend the agent to call external services, require explicit configuration and minimal credentials, and audit any network endpoints the agent will call.
功能分析
Type: OpenClaw Skill Name: alvis-agent-builder Version: 2.0.0 The skill bundle is a legitimate tool designed to help users build and iterate on OpenClaw agent configurations. It provides templates and workflows for generating standard workspace files (SOUL.md, IDENTITY.md, etc.) and explicitly includes safety guardrails, such as requiring user permission for destructive actions and outbound messaging, as seen in SKILL.md and references/templates.md.
能力标签
requires-oauth-tokenrequires-sensitive-credentials
能力评估
Purpose & Capability
Name/description match the actual content: an authoring workflow, templates, and checklists for OpenClaw agent workspaces. It does not request unrelated binaries, credentials, or config paths.
Instruction Scope
SKILL.md restricts activity to interviewing the user, producing workspace files from local templates, running acceptance tests, and suggesting diffs. It does not instruct the agent to read arbitrary host files, access credentials, or reach out to external endpoints as part of its default workflow.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk by an installer, which minimizes supply-chain risk.
Credentials
Skill requires no environment variables or credentials. One reference file (architecture.md) mentions a third-party API hub (https://api.heybossai.com/v1/pilot) as background/context; that mention is informational and not required by the skill, but it could prompt a developer to wire external integrations later—ensure any added integrations request only the minimum credentials and you review them.
Persistence & Privilege
always is false, no install spec, and the skill does not request persistent privileges or attempt to modify other skills or system-wide agent settings.
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 alvis-agent-builder
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /alvis-agent-builder 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
v2.0.0
No visible file changes detected between this and the previous version. - Version updated to 2.0.0 - No modifications found in SKILL.md or other files - No new features, fixes, or documentation changes detected in this release
v1.0.0
- Initial release of Agent Builder for OpenClaw: design and generate a full OpenClaw agent workspace. - Guided step-by-step workflow: clarifying interview, workspace file generation, guardrails checklist, and fast acceptance test prompts. - Supports both creating new agents and targeted iteration on existing agents’ behavior, autonomy, and safety boundaries. - Generates all key workspace files with strong defaults and advanced-user-oriented customization. - Includes built-in references and advanced checklists for robust agent design.
元数据
Slug alvis-agent-builder
版本 2.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Agent Builder Repo 是什么?

Build and update OpenClaw agents by designing personas, rules, autonomy, and generating complete agent workspace files with safety and behavior checks. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 76 次。

如何安装 Agent Builder Repo?

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

Agent Builder Repo 是免费的吗?

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

Agent Builder Repo 支持哪些平台?

Agent Builder Repo 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 Repo?

由 AlvisDunlop(@alvisdunlop)开发并维护,当前版本 v2.0.0。

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