011-Frank-AI架构图绘制辅助工具

011-Frank-AI架构图绘制辅助工具 is a skill for Claude Code, Codex from frank666199/frank-presales-skills. It costs 0 tokens per session (633 once invoked), scanned A, original, MIT.

A Chinese-language tool for creating technical and business architecture diagrams for AI and digital projects. It produces Mermaid or PlantUML code, which are text formats that can be rendered as diagrams.

In plain words
What is it for?
Use it to create business, technical, deployment, or data architecture diagrams, add component and technology descriptions, and compare layout options.
Why use it?
It converts a list of system components and their relationships into structured diagrams and explanations, helping teams communicate how a system is organized.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it to create business, technical, deployment, or data architecture diagrams, add component and technology descriptions, and compare layout options.

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Install with agentmods
npx agentmods add skills/frank666199/frank-presales-skills/011-frank-ai
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add frank666199/frank-presales-skills --skill 011-frank-ai
Clone the repo
git clone --depth 1 https://github.com/frank666199/frank-presales-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for 011-Frank-AI架构图绘制辅助工具

README.md
[![agentmods](https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/011-frank-ai/github.svg)](https://agentmods.dev/skills/frank666199/frank-presales-skills/011-frank-ai)
Your own site
<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/011-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/011-frank-ai/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for 011-Frank-AI架构图绘制辅助工具

Your own site · 80×15
<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/011-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/011-frank-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 633 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00633
Opus 5 $0.00000 $0.00316
Sonnet 5 $0.00000 $0.00127
Haiku 4.5 $0.00000 $0.00063

Measured 12d ago against content hash a2be2d5a57fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

011-Frank-AI架构图绘制辅助工具 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

维度1-AI-Presales-Tools/011-Frank-AI架构图绘制辅助工具/SKILL.md · 88 lines

What it actually says

Skill: Frank-AI架构图绘制辅助工具

Profile

  • Author: Frank
  • Version: 1.0.0
  • Language: 中文
  • Category: 维度1 - AI售前工具应用
  • Description: 智能生成AI系统、数字化项目技术架构、业务架构图

When to Use

方案编制中需要技术架构图、业务架构图、部署架构图时使用


Input Requirements

  • 系统组件清单
  • 组件间关系描述
  • 架构类型(业务/技术/部署/数据)

Workflow

  1. AI解析系统组件和关系,确定架构层次(接入层/应用层/服务层/数据层/基础设施层)
  2. 按架构类型选择合适的图示模式(分层/总线/微服务/事件驱动)
  3. 生成架构图的Mermaid/PlantUML代码
  4. 标注每层的功能说明和技术选型
  5. 生成图注和架构说明文字
  6. 提供多种布局方案供选择

Output Format

架构图代码(Mermaid/PlantUML)+ 架构说明文档 + 布局建议


Output Template

层次 | 组件 | 技术选型 | 功能说明 | 与上层关系 | 与下层关系

Example

字段 内容
应用层 政务服务门户

Constraints

  • 组件关系逻辑正确
  • 技术选型标注版本
  • 图示层次清晰

Quality Criteria

  • 架构层次完整
  • 组件关系准确
  • 可直接渲染使用

Applicable Scenarios

  • G端政府项目: 适用
  • B端企业项目: 适用
  • AI智能项目: 适用

Usage

方式1:Claude Code / Cursor / Codex

将本SKILL.md内容复制到Agent技能配置区,通过技能名触发。

方式2:飞书妙搭 / 扣子

将SKILL.md内容粘贴到Agent提示词配置区,设置触发词为技能名。

方式3:独立使用

直接复制本文件内容到AI对话中,按Workflow步骤执行。


Frank专属售前技能 | 维度1: AI售前工具应用 | 编号: 011 基于"Frank售前解决方案Skills工具集 v1.0"与实操提示词融合优化生成

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 88 lines · 0 tokens per session scan A a2be2d5a57fa

Subscribe to this mod's changes

011-Frank-AI架构图绘制辅助工具 is a skill published in the GitHub repository frank666199/frank-presales-skills (11 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 633 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.