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 007-frank-aigit 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/007-frank-ai)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/007-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/007-frank-ai/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/007-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/007-frank-ai.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 | $0.00610 |
| Opus 5 | $0.00000 | $0.00305 |
| Sonnet 5 | $0.00000 | $0.00122 |
| Haiku 4.5 | $0.00000 | $0.00061 |
Grade A, and why
007-Frank-AI立项报告生成工具 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.
What it actually says
Skill: Frank-AI立项报告生成工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度1 - AI售前工具应用
- Description: 快速输出AI数字化项目可研、立项基础文稿框架
When to Use
新项目启动阶段，需要编写立项材料时使用
Input Requirements
- 项目基本信息（名称/背景/目标）
- 预算区间
- 行业类型
Workflow
- AI根据项目信息生成立项报告框架
- 填充项目背景（政策依据/行业趋势/现状分析）
- 生成建设目标（总体目标/分期目标/量化指标）
- 输出建设内容分解（系统/硬件/服务/培训）
- 生成投资估算框架和资金来源说明
- 输出效益分析框架（经济/管理/社会效益）
- 标注需要人工补充的具体数据位置
Output Format
立项报告框架文档（含已生成内容 + 待补充标注）
Output Template
章节 | 内容状态(已生成/待补充) | 内容/说明
Example
| 字段 | 内容 |
|---|---|
| 三、建设目标 | 已生成 |
Constraints
- 政策依据引用真实文件
- 预算估算标注'初步估算'
- 待补充项明确标注
Quality Criteria
- 框架完整覆盖立项要素
- 政策引用准确
- 逻辑清晰可直接使用
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1: AI售前工具应用 | 编号: 007 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 01f20a318402
007-Frank-AI立项报告生成工具 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 610 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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