Tender Knowledge Framework

构建全面的招投标知识体系，涵盖文件解读、投标编制、评标分析、合同风险及行业案例，助力提升中标率。

Security Scan

The skill is an instruction-only knowledge/learning framework for bidding/tendering that asks the agent to gather and summarize public Internet sources and persist notes — its requirements and behavior are consistent with its stated purpose.

Purpose & Capability

Name/description (招投标知识体系) match the SKILL.md and included knowledge files. The skill requests no credentials, binaries, or installs and the content is focused on document reading, bid preparation, scoring and contract analysis — all coherent with the stated purpose.

Instruction Scope

Instructions direct the agent to actively search the Internet (official sites, platforms, social media, video sources) and produce periodic reports every 4 hours; this is reasonable for a learning/curation skill but gives the agent broad discretion to fetch external web content. The SKILL.md does not instruct reading local system secrets or unrelated files, but does instruct writing notes to paths like memory/tender-learning and tender-knowledge-framework/knowledge which is expected for a knowledge skill.

Install Mechanism

No install spec and no code files — instruction-only. Nothing is downloaded or written during install, which is the lowest-risk install model.

Credentials

The skill requires no environment variables, credentials, or config paths. There are no disproportionate secret requests.

Persistence & Privilege

always is false and the skill does not request persistent or elevated privileges or modifications to other skills. It does describe periodic reporting times, but since it has no special 'always' privilege this is an instruction not an enforced daemon.

Assessment

This skill is internally consistent and appears benign, but consider these practical points before enabling it: (1) it instructs the agent to actively fetch and summarize public web content (including social platforms and videos) — confirm your agent has appropriate network access and that web scraping complies with terms of service; (2) it will write learning notes and report files under memory/tender-learning and tender-knowledge-framework — if you have sensitive data in the agent environment, ensure the agent's file permissions and storage policies are acceptable; (3) review whether you want the agent to run periodic learning/reporting when invoked autonomously (the skill itself is not forced always-on, but autonomous invocation may trigger the described behavior); (4) if you need stricter controls, restrict network access or require explicit user prompts before web scraping or publishing reports.

标书分析助手知识框架 - Tender Knowledge Framework

系统定位

通过持续学习互联网上的标书知识、招投标技巧、行业案例，构建一个完整的标书分析知识体系，帮助用户提升投标成功率。

学习目标

核心知识领域

1. 招标文件解读 - 如何快速抓住招标要点
2. 投标文件编制 - 技术标/商务标/价格标的编写技巧
3. 评标办法分析 - 理解评分标准，制定投标策略
4. 合同条款识别 - 风险条款、付款条件、违约责任
5. 行业案例积累 - 成功案例、失败教训、中标技巧

行业覆盖

• 政府采购
• 金融行业
• 运营商
• 交通基建
• 大型央企
• 医疗卫生
• 教育科研

学习来源

官方渠道

• 中国政府采购网政策解读
• 国家发改委招投标政策
• 各行业招投标管理办法
• 财政部PPP项目指南

专业平台

• 中国招标投标公共服务平台
• 千里马、剑鱼标讯等平台文章
• 招投标培训机构课程资料
• 行业协会发布的指南

知识社区

• 知乎招投标话题
• 微信公众号专业文章
• 抖音/视频号招投标知识
• 行业论坛经验分享

知识框架结构

标书分析助手知识体系
│
├── 1. 招标阶段分析
│   ├── 1.1 招标公告解读
│   ├── 1.2 资格要求分析
│   ├── 1.3 评分标准拆解
│   └── 1.4 废标条款识别
│
├── 2. 投标策略制定
│   ├── 2.1 竞争对手分析
│   ├── 2.2 报价策略
│   ├── 2.3 技术方案设计
│   └── 2.4 商务条款谈判
│
├── 3. 投标文件编制
│   ├── 3.1 技术标编写
│   ├── 3.2 商务标编写
│   ├── 3.3 价格标编制
│   └── 3.4 常见错误规避
│
├── 4. 合同条款分析
│   ├── 4.1 付款条款
│   ├── 4.2 违约责任
│   ├── 4.3 知识产权
│   └── 4.4 争议解决
│
├── 5. 行业案例库
│   ├── 5.1 成功案例解析
│   ├── 5.2 失败案例警示
│   └── 5.3 中标技巧总结
│
└── 6. 政策法规
    ├── 6.1 招标投标法
    ├── 6.2 政府采购法
    └── 6.3 行业特殊规定

汇报机制

汇报时间

• 每天 8:00、12:00、16:00、20:00
• 每4小时汇报一次学习成果

汇报内容

1. 学习概览 - 本次学习的内容范围
2. 核心知识点 - 3-5个重要发现
3. 实用技巧 - 可直接应用的方法
4. 案例分享 - 典型案例分析
5. 框架更新 - 知识体系的完善

汇报格式

# 标书分析助手学习汇报
**汇报时间**: 2026-03-17 08:00
**学习周期**: 4小时
**本次主题**: [主题名称]

## 📚 学习概览
本次学习了X篇文章/视频，主要来自[来源]，覆盖[领域]

## 💡 核心知识点
1. **[知识点1标题]**
   - 要点说明
   - 应用场景

2. **[知识点2标题]**
   ...

## 🛠️ 实用技巧
- 技巧1
- 技巧2

## 📖 案例分享
**案例**: [案例名称]
**背景**: ...
**做法**: ...
**启示**: ...

## 📊 知识框架更新
- 新增: [内容]
- 完善: [内容]

## 🎯 下一步学习方向
[计划]

学习原则

1. 主动搜索 - 不等待信息推送，主动从互联网获取
2. 多源验证 - 同一主题从多个来源交叉验证
3. 深度思考 - 不满足于表面信息，探究底层逻辑
4. 及时沉淀 - 学到的知识及时整理到知识框架
5. 学以致用 - 将知识转化为可操作的投标策略