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 078-frankgit 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/078-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/078-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/078-frank/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/078-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/078-frank.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 | $0.00628 |
| Opus 5.5 | $0.00000 | $0.00251 |
| Sonnet 5.5 | $0.00000 | $0.00126 |
| Haiku 4.5 | $0.00000 | $0.00063 |
Grade A, and why
078-Frank-算力规划工具 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-算力规划工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度7 - AI项目专精
- Description: 针对训练/推理场景，进行GPU集群规模测算和算力经济性分析
When to Use
AI项目需要规划算力资源时
Input Requirements
- 模型规模
- 使用场景(训练/推理)
- 并发要求
- 预算约束
Workflow
- 评估训练算力需求：模型参数×训练数据×计算量→GPU小时
- 评估推理算力需求：并发请求×响应时间→GPU数量
- 选择GPU型号：A100/H100/RTX4090/国产昇腾
- 规划集群架构：训练集群/推理集群/存储/网络
- 测算算力成本：购买vs租赁vs云服务
- 进行算力经济性分析：TCO/ROI
- 输出算力规划方案
Output Format
算力规划方案（含需求测算+选型+架构+成本分析+经济性分析）
Output Template
算力项 | 需求 | 选型 | 数量 | 单价 | 成本 | 备注
Example
| 字段 | 内容 |
|---|---|
| 训练算力 | 700亿参数微调 |
Constraints
- 算力测算有公式依据
- 成本含隐性成本
- 经济性分析客观
Quality Criteria
- 测算准确
- 选型合理
- 成本分析全面
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: 078 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 · 90 lines · 0 tokens per session scan A 8c4438f3d9f9
078-Frank-算力规划工具 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 628 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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