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 079-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/079-frank-ai)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/079-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/079-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/079-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/079-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 | $0.00610 |
| Opus 5.5 | $0.00000 | $0.00244 |
| Sonnet 5.5 | $0.00000 | $0.00122 |
| Haiku 4.5 | $0.00000 | $0.00061 |
Grade A, and why
079-Frank-AI中台设计工具 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中台设计工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度7 - AI项目专精
- Description: 设计企业级AI中台，含模型管理/数据标注/训练pipeline/服务部署
When to Use
企业AI平台/中台建设项目
Input Requirements
- 企业AI需求
- 现有技术栈
- 数据规模
Workflow
- 设计AI中台架构：数据层→模型层→服务层→应用层
- 规划数据标注平台：标注工具/标注流程/质量管理
- 设计模型管理模块：模型仓库/版本管理/模型评估
- 设计训练Pipeline：数据处理→训练→评估→部署
- 规划模型服务模块：模型部署/推理服务/监控告警
- 设计AI能力开放平台：API网关/能力编排/计量计费
- 输出AI中台设计方案
Output Format
AI中台设计方案（含架构图+模块设计+技术选型+实施路径）
Output Template
中台模块 | 功能 | 技术方案 | 开源/商业选型 | 实施优先级
Example
| 字段 | 内容 |
|---|---|
| 模型管理 | 模型仓库+版本管理+评估 |
Constraints
- 架构设计参考行业最佳实践
- 技术选型成熟稳定
- 实施路径可行
Quality Criteria
- 架构完整
- 模块设计专业
- 技术选型合理
Applicable Scenarios
- G端政府项目: 部分适用
- B端企业项目: 部分适用
- 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7: AI项目专精 | 编号: 079 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 · 89 lines · 0 tokens per session scan A 35c3a5ad5a26
079-Frank-AI中台设计工具 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 610 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 2026-09-03.
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