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 019-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/019-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/019-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/019-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/019-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/019-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 | $0.00606 |
| Opus 5 | $0.00000 | $0.00303 |
| Sonnet 5 | $0.00000 | $0.00121 |
| Haiku 4.5 | $0.00000 | $0.00061 |
Grade A, and why
019-Frank-售前方案内部预审工具 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
77% 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-售前方案内部预审工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度2 - 售前全流程标准化
- Description: 自查方案漏洞、逻辑问题、落地性短板
When to Use
方案初稿完成后，提交客户前进行内部预审
Input Requirements
- 方案文档
- 需求清单
- 招标文件（如有）
Workflow
- 检查方案完整性：是否覆盖所有需求项
- 检查逻辑一致性：前后表述是否矛盾
- 检查技术可行性：方案是否有落地依据
- 检查商务合理性：报价与方案是否匹配
- 检查合规性：是否符合行业法规和标准
- 检查竞争性：与竞品方案对比是否有亮点
- 输出预审问题清单和修改建议
Output Format
方案预审报告（含问题清单+修改建议+通过/不通过结论）
Output Template
审查维度 | 问题描述 | 所在章节 | 严重程度 | 修改建议 | 负责人
Example
| 字段 | 内容 |
|---|---|
| 完整性 | 缺少数据迁移方案 |
Constraints
- 审查客观公正
- 问题分级标注
- 修改建议具体可操作
Quality Criteria
- 审查维度全面
- 问题定位准确
- 修改建议可行
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2: 售前全流程标准化 | 编号: 019 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 5d09698e33a2
019-Frank-售前方案内部预审工具 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 606 tokens. A static security scan graded it A with 0 findings. It is 77% identical to 010-Frank-AI方案降重原创工具, differing in 48 lines, and is treated as a copy.
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