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 029-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/029-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/029-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/029-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/029-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/029-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 | $0.00582 |
| Opus 5 | $0.00000 | $0.00291 |
| Sonnet 5 | $0.00000 | $0.00116 |
| Haiku 4.5 | $0.00000 | $0.00058 |
Grade A, and why
029-Frank-项目立项申请书撰写工具 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
73% identical to 010-Frank-AI方案降重原创工具 — 48 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-项目立项申请书撰写工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度3 - 方案编制与文档优化
- Description: 标准化输出政企项目立项申报全套材料
When to Use
新项目立项阶段,需要编写立项申请书
Input Requirements
- 项目基本信息
- 立项依据
- 预算来源
Workflow
- 编写项目概况:项目名称/建设单位/建设周期/投资规模
- 阐述立项依据:政策要求+业务需求+技术发展
- 明确建设内容和范围
- 编制建设方案概述
- 编写投资估算和资金来源
- 说明预期效益和绩效目标
- 附上必要的支撑文件清单
Output Format
立项申请书(含正文+附件清单+绩效目标表)
Output Template
章节 | 内容要求 | 当前内容 | 完成状态 | 待补充项
Example
| 字段 | 内容 |
|---|---|
| 立项依据 | 政策+需求+技术三维度 |
Constraints
- 格式符合立项申报规范
- 预算不超资金来源
- 绩效目标可量化
Quality Criteria
- 立项依据充分
- 建设内容明确
- 预算合理合规
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3: 方案编制与文档优化 | 编号: 029 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 65b2d1cb6363
029-Frank-项目立项申请书撰写工具 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 582 tokens. A static security scan graded it A with 0 findings. It is 73% identical to 010-Frank-AI方案降重原创工具, differing in 48 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.
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.
impact-report-writer
Nonprofit/NGO impact report generation with data visualization suggestions, outcome metrics, narrative structure, and program data presentation. Use when writing impact reports, annual reports, or program evaluation summaries.