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 003-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/003-frank-ai)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/003-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/003-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/003-frank-ai"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/003-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 | $0.00655 |
| Opus 5 | $0.00000 | $0.00328 |
| Sonnet 5 | $0.00000 | $0.00131 |
| Haiku 4.5 | $0.00000 | $0.00065 |
Grade A, and why
003-Frank-AI标书自查纠错工具 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标书自查纠错工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度1 - AI售前工具应用
- Description: AI自动校验投标文件错别字、逻辑漏洞、合规问题
When to Use
投标文件定稿前，进行全面自查
Input Requirements
- 投标文件全文
- 招标文件关键条款
- 公司资质信息
Workflow
- AI逐页扫描投标文件，识别错别字、标点错误、格式问题
- 对照招标文件，检查必答项是否全部响应
- 检查技术参数是否与招标要求一致，标注偏离项
- 校验报价计算：单价×数量=小计、小计之和=总计
- 检查公章、签字、日期等形式合规性
- 输出问题清单，按严重程度排序（废标级/扣分级/建议级）
Output Format
投标文件自查报告，包含问题清单、严重等级、修改建议、所在页码
Output Template
问题编号 | 所在页码 | 问题描述 | 严重等级(废标/扣分/建议) | 招标条款 | 修改建议
Example
| 字段 | 内容 |
|---|---|
| P023 | 第45页 |
Constraints
- 不得遗漏招标文件中的星号条款检查
- 报价校验精确到分
- 合规问题引用具体法规条款
Quality Criteria
- 检查覆盖率100%
- 问题分级准确
- 修改建议可操作
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: 003 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 · 88 lines · 0 tokens per session scan A 08c8c41351c3
003-Frank-AI标书自查纠错工具 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 655 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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