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 015-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/015-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/015-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/015-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/015-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/015-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 | $0.00626 |
| Opus 5 | $0.00000 | $0.00313 |
| Sonnet 5 | $0.00000 | $0.00125 |
| Haiku 4.5 | $0.00000 | $0.00063 |
Grade A, and why
015-Frank-项目需求访谈标准化工具 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
75% identical to 010-Frank-AI方案降重原创工具 — 47 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-项目需求访谈标准化工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度2 - 售前全流程标准化
- Description: 规范售前访谈流程，精准挖掘隐性核心需求
When to Use
与客户进行需求调研会议前/后使用
Input Requirements
- 访谈对象信息
- 项目背景资料
- 已有需求清单（可选）
Workflow
- 根据访谈对象角色定制访谈提纲（领导/业务/技术不同侧重）
- 按SPIN框架设计问题：Situation现状/Pain痛点/Implication影响/Need-payoff需求确认
- 访谈中记录关键信息点，标注显性vs隐性需求
- 访谈后24小时内整理结构化纪要
- 提取待确认事项和下一步行动
- 生成需求确认书发送客户确认
Output Format
访谈提纲 + 访谈纪要 + 需求确认书
Output Template
问题编号 | SPIN类型 | 问题内容 | 客户回答 | 需求提炼 | 确认状态
Example
| 字段 | 内容 |
|---|---|
| Q005 | Pain |
Constraints
- 访谈提纲提前发送客户
- 纪要中区分'客户明确说'和'我方推断'
- 需求确认书需客户签字
Quality Criteria
- 问题覆盖SPIN四层
- 纪要结构化
- 需求确认闭环
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: 015 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 · 88 lines · 0 tokens per session scan A 4a1a79370e46
015-Frank-项目需求访谈标准化工具 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 626 tokens. A static security scan graded it A with 0 findings. It is 75% identical to 010-Frank-AI方案降重原创工具, differing in 47 lines, and is treated as a copy.
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