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 054-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/054-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/054-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/054-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/054-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/054-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 | $0.00645 |
| Opus 5 | $0.00000 | $0.00322 |
| Sonnet 5 | $0.00000 | $0.00129 |
| Haiku 4.5 | $0.00000 | $0.00064 |
Grade A, and why
054-Frank-政务可研立项编写工具 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
70% identical to 010-Frank-AI方案降重原创工具 — 53 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-政务可研立项编写工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度5 - G端政府项目专精
- Description: 标准化输出政府项目可研报告、立项申请材料
When to Use
政府项目立项阶段，需要编制可研报告和立项材料
Input Requirements
- 项目基本信息
- 政策依据文件
- 预算来源信息
Workflow
- 编写项目背景：政策背景+现状分析+建设必要性
- 明确建设目标：总体目标+具体目标+量化指标
- 设计建设方案：建设内容+技术方案+实施计划
- 编制投资估算：软硬件+服务+其他费用
- 说明资金来源：财政预算/专项资金/国债/转移支付
- 编写效益分析：社会效益+经济效益+管理效益
- 附绩效目标表和风险分析
- 确保格式符合政务可研编制规范
Output Format
政务可研报告 + 立项申请书 + 绩效目标表
Output Template
章节 | 规范要求 | 内容要点 | 政策依据 | 完成状态
Example
| 字段 | 内容 |
|---|---|
| 建设必要性 | 3维度论述（政策+需求+发展） |
Constraints
- 政策依据引用准确
- 预算符合财政管理要求
- 绩效目标可量化可考核
Quality Criteria
- 结构符合可研规范
- 政策依据充分
- 投资估算合理
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: 054 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 · 90 lines · 0 tokens per session scan A 34da9bc5aabb
054-Frank-政务可研立项编写工具 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 645 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 53 lines, and is treated as a copy.
Other skills, from other repositories
omh-report-package
This is a Hermes-native report-package workflow skill.
product-data-cleanup
Clean a local FF&E CSV schedule by normalizing casing, dimensions, units, language, materials, and formatting. Use when asked to clean, fix, or standardize product data.
sif-to-csv
Parse a SIF (Standard Interchange Format) input into a readable preview and optionally append canonical product rows to the project's CSV library. Use when asked to convert or inspect SIF dealer data. For the reverse direction use /as:csv-to-sif.
data-export
Generates data export/import infrastructure for JSON, CSV, PDF formats with GDPR data portability, share sheet integration, and file import. Use when user wants data export functionality, CSV/JSON/PDF export, GDPR compliance data portability, import from files, or share sheet for data.
mckinsey-charts
Generate McKinsey-style consulting charts as native python-pptx objects (editable inside PowerPoint). Three workhorse types — bar+callout for TAM/single-number stories, stacked column over time for revenue/usage mix, and waterfall for drivers/bridge analysis. Use when you need a chart that looks like it came from an…
notion-sdk
Control Notion via Python SDK. TRIGGERS - Notion API, create page, query database, add blocks.