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 085-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/085-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/085-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/085-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/085-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/085-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 | $0.00637 |
| Opus 5 | $0.00000 | $0.00318 |
| Sonnet 5 | $0.00000 | $0.00127 |
| Haiku 4.5 | $0.00000 | $0.00064 |
Grade A, and why
085-Frank-基层客户需求沟通工具 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 9d 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 — 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-基层客户需求沟通工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度8 - 演示沟通与竞品分析
- Description: 高效对接执行层，精准收集真实落地需求
When to Use
与客户执行层/使用人员对接时使用
Input Requirements
- 客户执行层信息
- 项目背景
- 沟通目的
Workflow
- 分析执行层特征：关注操作便利/功能实用/不增加工作量
- 设计沟通策略：放低姿态/倾听为主/共情痛点
- 准备调研问题：日常工作/痛点/期望/操作习惯
- 沟通中注意：收集真实需求/避免技术术语/记录原话
- 整理需求并标注真实性（直接表达vs推测）
- 识别需求的操作层面细节
- 输出基层需求调研报告
Output Format
基层需求调研报告（含真实需求+痛点清单+操作细节+需求真实性标注）
Output Template
需求编号 | 需求描述(原话) | 翻译为功能需求 | 痛点级别 | 真实性 | 备注
Example
| 字段 | 内容 |
|---|---|
| R005 | '每天要手动导3次数据，太烦了' |
Constraints
- 需求来源于真实表达
- 不引导客户说我们想听的
- 尊重执行层意见
Quality Criteria
- 需求收集真实
- 痛点洞察到位
- 操作细节充分
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8: 演示沟通与竞品分析 | 编号: 085 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.
- 9d ago First seen · 89 lines · 0 tokens per session scan A 087827472ed3
085-Frank-基层客户需求沟通工具 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 637 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 48 lines, and is treated as a copy.
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