002-Frank-AI方案润色优化工具

002-Frank-AI方案润色优化工具 is a skill for Claude Code, Codex from frank666199/frank-presales-skills. It costs 0 tokens per session (666 once invoked), scanned A, original, MIT.

A Chinese-language editor for improving the wording, structure, terminology, and audience fit of sales proposals without changing their core content.

In plain words
What is it for?
Use it to adapt proposals for technical, business, or leadership readers and produce an edited document with a before-and-after change table.
Why use it?
It helps turn a rough draft into clearer, more consistent material before review, while keeping changes traceable.

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 to adapt proposals for technical, business, or leadership readers and produce an edited document with a before-and-after change table.

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Install with agentmods
npx agentmods add skills/frank666199/frank-presales-skills/002-frank-ai
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 002-frank-ai
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 002-Frank-AI方案润色优化工具

README.md
[![agentmods](https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/002-frank-ai/github.svg)](https://agentmods.dev/skills/frank666199/frank-presales-skills/002-frank-ai)
Your own site
<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/002-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/002-frank-ai/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 002-Frank-AI方案润色优化工具

Your own site · 80×15
<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/002-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/002-frank-ai.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 666 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 original No closer match found 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 $0.00666
Opus 5 $0.00000 $0.00333
Sonnet 5 $0.00000 $0.00133
Haiku 4.5 $0.00000 $0.00067

Measured 12d ago against content hash 2dcff5290c87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

002-Frank-AI方案润色优化工具 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.

维度1-AI-Presales-Tools/002-Frank-AI方案润色优化工具/SKILL.md · 89 lines

What it actually says

Skill: Frank-AI方案润色优化工具

Profile

  • Author: Frank
  • Version: 1.0.0
  • Language: 中文
  • Category: 维度1 - AI售前工具应用
  • Description: 智能润色售前方案话术,提升专业性、合规性与可读性

When to Use

完成方案初稿后,提交评审前进行专业润色


Input Requirements

  • 方案文档原文(Word/Markdown)
  • 目标受众类型(技术/业务/领导)
  • 行业类型(G端/B端/AI)

Workflow

  1. AI扫描全文,识别口语化表述、逻辑断层、术语不一致
  2. 按目标受众调整语言风格:技术版强调架构严谨、业务版强调价值产出、领导版强调战略价值
  3. 统一专业术语,确保全文一致性
  4. 优化段落结构,确保每段一个核心观点
  5. 增强过渡衔接,提升全文逻辑流畅度
  6. 标注修改对照,输出润色前后对比

Output Format

润色后的完整方案文档 + 修改对照表(原文/修改后/修改理由)


Output Template

段落编号 | 原文 | 润色后 | 修改类型(语言/逻辑/术语/结构) | 修改理由

Example

字段 内容
3.2段 我们的系统很好用

Constraints

  • 不改变方案核心观点和技术方案
  • 润色后字数变化不超过±15%
  • 保留客户/项目专有名词

Quality Criteria

  • 无口语化表述
  • 术语全文统一
  • 段落逻辑清晰
  • 修改可追溯

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1: AI售前工具应用 | 编号: 002 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 2dcff5290c87

Subscribe to this mod's changes

002-Frank-AI方案润色优化工具 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 666 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 2026-08-30.

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