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 053-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/053-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/053-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/053-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/053-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/053-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 | $0.00631 |
| Opus 5 | $0.00000 | $0.00316 |
| Sonnet 5 | $0.00000 | $0.00126 |
| Haiku 4.5 | $0.00000 | $0.00063 |
Grade A, and why
053-Frank-政务项目红头话术适配工具 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 — 52 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-政务项目红头话术适配工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度5 - G端政府项目专精
- Description: 适配政府公文风格，优化汇报与方案话术
When to Use
面向政府客户的方案、汇报、纪要需要公文风格适配
Input Requirements
- 原始文档
- 文档类型（方案/汇报/纪要）
- 目标读者层级
Workflow
- 将商业用语转为政务用语（如'产品'→'系统'，'客户'→'服务对象'）
- 增加政策引用和上级精神呼应
- 调整语气：客观严谨、不夸大、用数据说话
- 规范格式：标题层级/编号方式/用语习惯符合公文规范
- 加入政治站位表述（如'以人民为中心'）
- 确保表述与上级政策文件一致
- 输出政务风格文档
Output Format
政务风格适配文档 + 修改对照表
Output Template
原文表述 | 政务适配后 | 修改类型 | 修改理由
Example
| 字段 | 内容 |
|---|---|
| '我们的产品很好' | '本系统可有效提升政务服务效能' |
Constraints
- 用语符合政府公文规范
- 政策引用准确
- 不使用商业推广语气
Quality Criteria
- 公文风格到位
- 政策呼应自然
- 表述严谨规范
Applicable Scenarios
- G端政府项目: 适用
- B端企业项目: 部分适用
- AI智能项目: 部分适用
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5: G端政府项目专精 | 编号: 053 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 · 89 lines · 0 tokens per session scan A 23df2014eb3b
053-Frank-政务项目红头话术适配工具 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 631 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 52 lines, and is treated as a copy.
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