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 025-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/025-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/025-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/025-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/025-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/025-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 | $0.00651 |
| Opus 5 | $0.00000 | $0.00326 |
| Sonnet 5 | $0.00000 | $0.00130 |
| Haiku 4.5 | $0.00000 | $0.00065 |
Grade A, and why
025-Frank-价值主张提炼工具 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
78% 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-价值主张提炼工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度2 - 售前全流程标准化
- Description: 基于客户痛点，用场景-痛点-价值三段论生成价值主张
When to Use
方案开篇、汇报开场、竞品对比时使用
Input Requirements
- 客户痛点清单
- 我方方案核心能力
- 竞品对比信息
Workflow
- 梳理客户Top3痛点，按影响程度排序
- 对应我方方案的核心能力，形成'痛点-能力'映射
- 用'场景-痛点-价值'三段论构建价值主张
- 量化价值产出（降本X%/增效X倍/合规率X%）
- 生成电梯演讲版（30秒）和详细版（3分钟）
- 输出竞品对比中的差异化价值主张
Output Format
价值主张文档（含30秒版+3分钟版+竞品差异化版）
Output Template
价值主张版本 | 场景描述 | 客户痛点 | 我方方案价值 | 量化指标 | 竞品差异
Example
| 字段 | 内容 |
|---|---|
| 30秒版 | 政务审批场景 |
Constraints
- 价值量化有依据
- 不夸大效果
- 语言简洁有力
Quality Criteria
- 痛点匹配准确
- 价值量化可信
- 表达简洁有感染力
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: 025 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 449170890082
025-Frank-价值主张提炼工具 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 651 tokens. A static security scan graded it A with 0 findings. It is 78% 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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