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Yuanyuan Blueprint Workshop
作者
BeAChanger
· GitHub ↗
· v1.0.0
· MIT-0
208
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当前安装
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版本数
在 OpenClaw 中安装
/install yuanyuan-blueprint-workshop
功能描述
Guide users through a 5-step workshop to convert tacit know-how into a testable Agent Blueprint with scenario, SOP, dependencies, and skill sourcing.
安全使用建议
This skill is internally consistent and low-risk: it only contains workshop instructions and templates, asks for no credentials, and doesn't install or download code. Before installing or enabling it, confirm platform controls: (1) that the agent will not auto-install other skills without your explicit consent when following the 'search/vet/install' step, (2) how and where any 'saved internal files' are stored and who can access them, and (3) that the delivered blueprint will appear fully in chat as promised (do not rely solely on hidden files). If you plan to let the agent act on its own to install skills from ClawHub, require manual approval or review of any candidate skills first.
功能分析
Type: OpenClaw Skill
Name: yuanyuan-blueprint-workshop
Version: 1.0.0
The skill bundle is a purely instructional framework designed to guide an AI agent through a structured workshop for creating 'Agent Blueprints'. It contains no executable code, only Markdown instructions and templates (SKILL.md, blueprint-template.md). There are no indicators of data exfiltration, malicious execution, or prompt injection; in fact, it explicitly includes safety-conscious instructions to 'vet/scan' any external skills before installation.
能力评估
Purpose & Capability
The name, description, and included templates/references match the stated goal of running a 5-step workshop to produce an agent blueprint. There are no unrelated requirements (no env vars, no binaries, no install steps) that would be inconsistent with a discovery/workshop skill.
Instruction Scope
SKILL.md stays within the workshop scope (scenario discovery → SOP extraction → dependency mapping → blueprint → sourcing). It explicitly tells the agent to prefer local reuse, search ClawHub, vet/scan, then install or author missing skills. This is appropriate for a sourcing plan, but it does grant the agent procedural permission to search and potentially install other skills — the skill also allows saving files internally (but requires delivering the blueprint in chat). No instructions reference reading unrelated system files, environment variables, or external endpoints outside the platform.
Install Mechanism
There is no install spec and no code files that would be downloaded or executed; this is instruction-only, which minimizes written-to-disk risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. It does not attempt to access or request secrets; this is proportionate to its discovery/workshop purpose.
Persistence & Privilege
always:false (default) and no actions that modify other skills or system-wide configs are present. The only persistence-related action is an allowance to 'save files internally if useful' — this is reasonable for archiving session artifacts but users should confirm what internal storage is used and how long artifacts are retained.
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 yuanyuan-blueprint-workshop - 安装完成后，直接呼叫该 Skill 的名称或使用
/yuanyuan-blueprint-workshop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 public release: full Yuanyuan workflow from scenario discovery to blueprint and skill sourcing.
元数据
常见问题
Yuanyuan Blueprint Workshop 是什么？
Guide users through a 5-step workshop to convert tacit know-how into a testable Agent Blueprint with scenario, SOP, dependencies, and skill sourcing. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 208 次。
如何安装 Yuanyuan Blueprint Workshop？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install yuanyuan-blueprint-workshop」即可一键安装，无需额外配置。
Yuanyuan Blueprint Workshop 是免费的吗？
是的，Yuanyuan Blueprint Workshop 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Yuanyuan Blueprint Workshop 支持哪些平台？
Yuanyuan Blueprint Workshop 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 Yuanyuan Blueprint Workshop？
由 BeAChanger（@beachanger）开发并维护，当前版本 v1.0.0。
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