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 073-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/073-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/073-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/073-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/073-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/073-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 | $0.00610 |
| Opus 5.5 | $0.00000 | $0.00244 |
| Sonnet 5.5 | $0.00000 | $0.00122 |
| Haiku 4.5 | $0.00000 | $0.00061 |
Grade A, and why
073-Frank-金融科技方案工具 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 1mo 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-金融科技方案工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度6 - B端企业项目专精
- Description: 设计金融信创/风控中台/智能投顾/监管科技方案
When to Use
金融行业数字化项目
Input Requirements
- 金融机构类型
- 业务需求
- 监管要求
Workflow
- 分析金融监管要求：银保监/证监/人行合规要求
- 设计金融信创方案：国产化替代/适配验证
- 规划风控中台方案：风控模型/实时决策/风控报告
- 设计智能服务方案：智能客服/智能投顾/智能营销
- 规划监管科技方案：监管报送/合规检查/反洗钱
- 制定数据安全方案：数据分级/脱敏/加密
- 输出金融科技方案
Output Format
金融科技方案（含信创+风控+智能服务+监管科技+数据安全）
Output Template
方案模块 | 建设内容 | 监管依据 | 技术方案 | 风险评估
Example
| 字段 | 内容 |
|---|---|
| 风控中台 | 实时风控引擎+风控模型+决策中心 |
Constraints
- 方案符合金融监管
- 风控模型有依据
- 数据安全方案严密
Quality Criteria
- 监管合规全面
- 技术方案专业
- 安全方案完善
Applicable Scenarios
- G端政府项目: 部分适用
- B端企业项目: 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6: B端企业项目专精 | 编号: 073 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.
- 1mo ago First seen · 89 lines · 0 tokens per session scan A d0de51e028de
073-Frank-金融科技方案工具 is a skill published in the GitHub repository frank666199/frank-presales-skills (20 stars, last pushed 3mo 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. 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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