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 016-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/016-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/016-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/016-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/016-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/016-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 | $0.00660 |
| Opus 5 | $0.00000 | $0.00330 |
| Sonnet 5 | $0.00000 | $0.00132 |
| Haiku 4.5 | $0.00000 | $0.00066 |
Grade A, and why
016-Frank-需求结构化拆解工具 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.
This is a copy
73% identical to 010-Frank-AI方案降重原创工具 — 48 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Skill: Frank-需求结构化拆解工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度2 - 售前全流程标准化
- Description: 将零散客户需求拆解为功能、技术、落地三维清单
When to Use
需求调研完成后，进行需求分析和方案设计前
Input Requirements
- 原始需求清单
- 项目范围说明
- 约束条件（预算/周期/技术）
Workflow
- 将原始需求按功能维度、技术维度、落地维度三维分类
- 功能维度：拆解为模块→功能→子功能→功能点
- 技术维度：拆解为架构需求/安全需求/性能需求/集成需求
- 落地维度：拆解为必须实现/分期实现/未来规划
- 识别需求冲突和依赖关系
- 生成需求追溯矩阵
- 输出需求优先级排序建议
Output Format
三维需求拆解清单 + 需求追溯矩阵 + 优先级排序
Output Template
需求ID | 原始描述 | 功能拆解 | 技术拆解 | 落地分期 | 优先级 | 依赖/冲突
Example
| 字段 | 内容 |
|---|---|
| R012 | '实现在线审批' |
Constraints
- 每条需求可追溯到原始来源
- 拆解粒度适中，不过细也不过粗
- 冲突需求明确标注
Quality Criteria
- 三维拆解完整
- 追溯关系清晰
- 优先级排序合理
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2: 售前全流程标准化 | 编号: 016 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.
- 12d ago First seen · 89 lines · 0 tokens per session scan A d51674758a6c
016-Frank-需求结构化拆解工具 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 660 tokens. A static security scan graded it A with 0 findings. It is 73% identical to 010-Frank-AI方案降重原创工具, differing in 48 lines, and is treated as a copy.
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