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 052-frank-ggit 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/052-frank-g)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/052-frank-g"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/052-frank-g/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/052-frank-g"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/052-frank-g.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 | $0.00638 |
| Opus 5.5 | $0.00000 | $0.00255 |
| Sonnet 5.5 | $0.00000 | $0.00128 |
| Haiku 4.5 | $0.00000 | $0.00064 |
Grade A, and why
052-Frank-G端合规方案撰写工具 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 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.
What it actually says
Skill: Frank-G端合规方案撰写工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度5 - G端政府项目专精
- Description: 贴合政务合规要求，输出标准化政务数字化方案
When to Use
G端项目方案编制阶段
Input Requirements
- 项目需求
- 适用法规政策
- 政务信息化标准
Workflow
- 梳理适用法规：政府采购法/招投标法/数据安全法/网络安全法/个人信息保护法
- 对标行业标准：政务信息系统整合共享/等保2.0/密码评估/信创要求
- 在方案中嵌入合规设计：安全合规/数据合规/信创合规
- 使用政务规范用语，避免商业口语
- 突出政策响应：方案如何落实上级政策要求
- 加入政务信息化绩效目标
- 输出合规方案文档
Output Format
G端合规方案（含法规对标表+合规设计+政策响应+绩效目标）
Output Template
合规维度 | 适用法规/标准 | 方案对应措施 | 对标条款 | 合规状态
Example
| 字段 | 内容 |
|---|---|
| 网络安全 | 等保2.0 |
Constraints
- 法规引用准确到条款
- 方案用语符合政务习惯
- 信创要求全面响应
Quality Criteria
- 合规覆盖全面
- 政策响应到位
- 方案规范专业
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: 052 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 af9bc2e64011
052-Frank-G端合规方案撰写工具 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 638 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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