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 055-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/055-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/055-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/055-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/055-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/055-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 | $0.00601 |
| Opus 5 | $0.00000 | $0.00300 |
| Sonnet 5 | $0.00000 | $0.00120 |
| Haiku 4.5 | $0.00000 | $0.00060 |
Grade A, and why
055-Frank-政务项目需求对齐工具 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
80% 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-政务项目需求对齐工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度5 - G端政府项目专精
- Description: 适配政府多部门对接，统一项目需求口径
When to Use
G端项目涉及多个部门，需求不一致时使用
Input Requirements
- 各部门需求清单
- 项目范围说明
- 部门职责分工
Workflow
- 梳理涉及部门：牵头部门/配合部门/使用部门/技术部门
- 收集各部门需求，标注需求来源和优先级
- 识别需求冲突：功能冲突/数据冲突/流程冲突
- 组织需求对齐会议，协商解决方案
- 形成统一需求文档，各部门确认签字
- 建立需求变更管理机制
- 输出需求对齐报告
Output Format
需求对齐报告（含统一需求清单+冲突解决记录+确认签字表）
Output Template
需求编号 | 需求描述 | 来源部门 | 冲突情况 | 解决方案 | 确认状态
Example
| 字段 | 内容 |
|---|---|
| R008 | 数据共享权限 |
Constraints
- 需求冲突不回避
- 解决方案各方认可
- 变更机制可执行
Quality Criteria
- 需求覆盖所有部门
- 冲突解决到位
- 需求口径统一
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: 055 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 0c4873a5f699
055-Frank-政务项目需求对齐工具 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 601 tokens. A static security scan graded it A with 0 findings. It is 80% 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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