014-Frank-客户画像调研工具

014-Frank-客户画像调研工具 is a skill for Claude Code, Codex from frank666199/frank-presales-skills. It costs 0 tokens per session (605 once invoked), scanned A, a copy of 010-Frank-AI方案降重原创工具, MIT.

A Chinese-language customer-research template for building a profile of a government or business customer. It covers the organization, business, IT systems, decision-makers, strategy, suppliers, preferences, and information sources.

In plain words
What is it for?
Use it at the start of a project to research a customer's organization and IT environment, map the decision chain, and produce a customer profile report.
Why use it?
It gathers customer information in one structured report and records where the information came from and how trustworthy or current it is.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it at the start of a project to research a customer's organization and IT environment, map the decision chain, and produce a customer profile report.

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Install with agentmods
npx agentmods add skills/frank666199/frank-presales-skills/014-frank
Install

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.

Any agent
npx skills add frank666199/frank-presales-skills --skill 014-frank
Clone the repo
git clone --depth 1 https://github.com/frank666199/frank-presales-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for 014-Frank-客户画像调研工具

README.md
[![agentmods](https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/014-frank/github.svg)](https://agentmods.dev/skills/frank666199/frank-presales-skills/014-frank)
Your own site
<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/014-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/014-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.

agentmods 80×15 button for 014-Frank-客户画像调研工具

Your own site · 80×15
<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/014-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/014-frank.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 605 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 70% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00605
Opus 5 $0.00000 $0.00302
Sonnet 5 $0.00000 $0.00121
Haiku 4.5 $0.00000 $0.00060

Measured 12d ago against content hash b61de496f650, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

014-Frank-客户画像调研工具 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.

Origin

This is a copy

70% 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.

维度2-Presales-Process/014-Frank-客户画像调研工具/SKILL.md · 89 lines

What it actually says

Skill: Frank-客户画像调研工具

Profile

  • Author: Frank
  • Version: 1.0.0
  • Language: 中文
  • Category: 维度2 - 售前全流程标准化
  • Description: 标准化调研模板,快速搭建政企客户完整画像

When to Use

项目启动阶段,需要全面了解客户时使用


Input Requirements

  • 客户名称
  • 已知客户信息
  • 调研渠道(官网/财报/新闻/招标信息)

Workflow

  1. 采集客户基本信息:组织架构、业务范围、人员规模、营收规模
  2. 调研客户IT现状:现有系统、技术栈、信息化成熟度
  3. 分析决策链:决策者/影响者/使用者/把关者各角色画像
  4. 识别客户战略方向和近期重点举措
  5. 梳理客户历史合作经历和供应商关系
  6. 标注客户偏好和禁忌
  7. 输出客户画像报告

Output Format

客户画像报告(含组织架构图、决策链图谱、IT现状、偏好分析)


Output Template

画像维度 | 信息内容 | 信息来源 | 可信度 | 更新时间

Example

字段 内容
决策者 张局长,分管信息化,重视数据安全

Constraints

  • 信息来源标注
  • 非公开信息标注'内部消息'
  • 画像定期更新

Quality Criteria

  • 画像维度完整
  • 信息准确有据
  • 决策链分析到位

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: 014 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

Changes

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.

  1. 12d ago First seen · 89 lines · 0 tokens per session scan A b61de496f650

Subscribe to this mod's changes

014-Frank-客户画像调研工具 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 605 tokens. A static security scan graded it A with 0 findings. It is 70% 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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