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 045-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/045-frank)<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/045-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/045-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/045-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/045-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 | $0.00676 |
| Opus 5 | $0.00000 | $0.00338 |
| Sonnet 5 | $0.00000 | $0.00135 |
| Haiku 4.5 | $0.00000 | $0.00068 |
Grade A, and why
045-Frank-招标文件解析工具 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
75% 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-招标文件解析工具
Profile
- Author: Frank
- Version: 1.0.0
- Language: 中文
- Category: 维度4 - 招投标全流程实操
- Description: 自动拆解招标文件,标注关键条款、偏离项、废标风险点
When to Use
收到招标文件后第一时间使用
Input Requirements
- 招标文件全文
- 公司资质清单
- 产品技术参数表
Workflow
- 解析招标文件结构:公告/投标人须知/技术要求/商务要求/评分标准/合同草案
- 提取关键信息:项目预算/投标截止时间/资质要求/保证金
- 识别废标条款(星号条款/实质性要求)
- 标注技术偏离项:逐条对比我方能力
- 分析评分标准:技术分/商务分/价格分权重和细则
- 识别控标点和排他性条款
- 输出招标文件解析报告
Output Format
招标文件解析报告(含结构拆解+关键信息+废标条款+偏离分析+评分分析)
Output Template
条款编号 | 招标要求 | 类型(资格/技术/商务/废标) | 我方情况 | 偏离状态 | 风险等级 | 应对建议
Example
| 字段 | 内容 |
|---|---|
| T3.4.2 | 系统可用性≥99.99% |
Constraints
- 解析覆盖招标文件全部章节
- 偏离项标注严重程度
- 废标条款逐条列出
Quality Criteria
- 解析完整无遗漏
- 偏离分析准确
- 评分策略建议可行
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4: 招投标全流程实操 | 编号: 045 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 5c93ba7f6178
045-Frank-招标文件解析工具 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 676 tokens. A static security scan graded it A with 0 findings. It is 75% identical to 010-Frank-AI方案降重原创工具, differing in 48 lines, and is treated as a copy.
Other skills, from other repositories
omh-report-package
This is a Hermes-native report-package workflow skill.
product-data-cleanup
Clean a local FF&E CSV schedule by normalizing casing, dimensions, units, language, materials, and formatting. Use when asked to clean, fix, or standardize product data.
sif-to-csv
Parse a SIF (Standard Interchange Format) input into a readable preview and optionally append canonical product rows to the project's CSV library. Use when asked to convert or inspect SIF dealer data. For the reverse direction use /as:csv-to-sif.
mckinsey-charts
Generate McKinsey-style consulting charts as native python-pptx objects (editable inside PowerPoint). Three workhorse types — bar+callout for TAM/single-number stories, stacked column over time for revenue/usage mix, and waterfall for drivers/bridge analysis. Use when you need a chart that looks like it came from an…
notion-sdk
Control Notion via Python SDK. TRIGGERS - Notion API, create page, query database, add blocks.
impact-report-writer
Nonprofit/NGO impact report generation with data visualization suggestions, outcome metrics, narrative structure, and program data presentation. Use when writing impact reports, annual reports, or program evaluation summaries.