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.
npx skills add frank666199/frank-presales-skills --skill 011-frank-aigit clone --depth 1 https://github.com/frank666199/frank-presales-skillsWrote 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.
[](https://agentmods.dev/skills/frank666199/frank-presales-skills/011-frank-ai)<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.
<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>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00633 |
| Opus 5.5 | $0.00000 | $0.00253 |
| Sonnet 5.5 | $0.00000 | $0.00127 |
| Haiku 4.5 | $0.00000 | $0.00063 |
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 1mo 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.
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
- 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）
- 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）
- 生成架构图的Mermaid/PlantUML代码
- 标注每层的功能说明和技术选型
- 生成图注和架构说明文字
- 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
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.
- 1mo ago First seen · 88 lines · 0 tokens per session scan A a2be2d5a57fa
011-Frank-AI架构图绘制辅助工具 is a skill published in the GitHub repository frank666199/frank-presales-skills (20 stars, last pushed 3mo 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.
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