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Production Agent Builder
作者
wholeinsoul
· GitHub ↗
· v1.0.0
· MIT-0
200
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install production-agent-builder
功能描述
Structured 8-step framework for building production AI agents. Use when designing a new AI agent, planning agent architecture, building an automated workflow...
安全使用建议
This skill is a guidance document (no code, no installs) and appears internally consistent with its stated purpose. Before using it in production: (1) verify the source/author (no homepage is provided), (2) when you implement the design, provide only the minimal credentials required for each connector (apply least privilege), (3) enforce the suggested safeguards — gate high-risk actions behind human approval and enable auditing/logging, and (4) review any platform-specific integrations (email, Slack, DBs, vector stores) for where data will be stored or transmitted to avoid unintended data exposure.
功能分析
Type: OpenClaw Skill
Name: production-agent-builder
Version: 1.0.0
The skill bundle is a purely instructional framework for designing AI agents. It contains no executable code, scripts, or network calls. The instructions in SKILL.md and references/guide.md guide the agent to help users plan agent architectures, emphasizing safety measures like human-in-the-loop approvals for high-risk actions (Step 6). There are no indicators of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
The name and description match the SKILL.md and references/guide.md content: both provide an 8-step framework for designing production agents. The guidance about inputs, tools, memory, safeguards, interfaces, and testing is appropriate for an 'agent builder' skill.
Instruction Scope
The instructions stay within the stated purpose — they are a planning/design framework. They recommend connecting to external tools (email, Slack, DBs, vector stores) and logging tool calls, which is expected for a design guide but implies implementers will later need to attach credentials and tooling. The SKILL.md does not itself instruct reading system files, environment variables, or sending data to hidden endpoints.
Install Mechanism
No install spec and no code files are present (instruction-only). That minimizes risk because nothing will be written to disk or fetched automatically during install.
Credentials
The skill declares no required environment variables or credentials, which is proportional. However, its recommendations (attach data tools, action tools, vector stores, etc.) mean that any real implementation of the design will require external API keys/credentials; users should apply least-privilege and provide only the necessary credentials at implementation time.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent presence, system configuration changes, or access to other skills' configs. The default ability for an agent to invoke the skill autonomously is normal and not, by itself, a concern here.
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 production-agent-builder - 安装完成后，直接呼叫该 Skill 的名称或使用
/production-agent-builder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
8-step framework for building production AI agents. Covers task selection, step mapping, I/O spec, system prompts, memory design, safeguards, interfaces, and testing. Based on Storm & Storm methodology.
元数据
常见问题
Production Agent Builder 是什么？
Structured 8-step framework for building production AI agents. Use when designing a new AI agent, planning agent architecture, building an automated workflow... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 200 次。
如何安装 Production Agent Builder？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install production-agent-builder」即可一键安装，无需额外配置。
Production Agent Builder 是免费的吗？
是的，Production Agent Builder 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Production Agent Builder 支持哪些平台？
Production Agent Builder 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 Production Agent Builder？
由 wholeinsoul（@wholeinsoul）开发并维护，当前版本 v1.0.0。
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