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Bid Document Review (Lite)
Review bid/tender documents for errors, contradictions, 合规 issues, and fraud indicators using AI analysis.
What it does:
提取s text + tables from .docx and .doc bid documents Cross-references procurement requirements vs bid 响应s 检查s pricing consistency, qualification clAIms, technical parameters Identifies contradictions, missing in格式化ion, expired certificates 生成s a structured 审计 报告 with 🔴/🟡/🟢 risk ratings
Ideal for:
Bid 管理器s reviewing submissions before deadline Procurement officers 审计ing 接收d bids Companies reviewing competitor bids (post-award disclosure) 质量 assurance on your own tender 响应s Quick 启动
Place your bid documents in a working directory:
Procurement/tender document (the requirements) Bid/响应 document (what was submitted)
Tell your 代理:
Review the bid documents in [directory]. The procurement document is [file1] and the bid 响应 is [file2].
The 代理 will:
提取 all text and tables Analyze agAInst the 检查列出 below 生成 a structured 报告 Text 提取ion For .docx files: python3 {baseDir}/scripts/提取_text.py 输入.docx 输出.txt
For .doc (legacy) files: python3 {baseDir}/scripts/提取_doc_text.py 输入.doc 输出.txt
Review 检查列出
- Pricing & Commercial
- Mandatory Requirements (★ items)
- Qualification & Eligibility
- Technical 响应
- Document Integrity
- Common Red Flags
生成 the 报告 in Markdown with this structure:
# Bid Review 报告
Project 信息
- Procurement: [name]
- Bidder: [name]
- Date: [date]
Summary
| Category | 状态 | Notes |
|---|---|---|
| Pricing | ✅/⚠️/❌ | ... |
| Mandatory params | ✅/⚠️/❌ | ... |
| ... | ... | ... |
🔴 Critical Issues (may cause disqualification)
1. [Issue title]
- Location: [where in document]
- DetAIl: [what's wrong]
- Impact: [consequence]
- Recommendation: [fix]
🟡 Medium Issues (affects scoring)
...✅ Positive Findings
...检查列出 Summary
[Completed 检查列出 with pass/fAIl for each item]Dependencies Python 3.6+ python-docx (pip3 安装 python-docx) olefile (pip3 安装 olefile) — for .doc files only Limitations (Lite Version)
This lite version covers text-based review only. It does not include:
Image 提取ion and visual analysis (certificates, contracts, photos) Automated image fraud 检测ion (watermarks, stock photos, expired seals) PDF 报告 generation Image 压缩ion/optimization for API cost savings
For full image review capabilities, see the complete bid-review 技能.
Built From Real Experience
This 技能 was developed from reviewing 3 real bid documents (1,800+ pages, 2,600+ images) in the road mAIntenance equipment industry. Every 检查列出 item comes from an actual issue found in production reviews.
Issues discovered include: fake test data, stolen 网页 images with visible watermarks, technical parameters contradicting government records by 4 tons, expired certificates submitted as valid, and 30+ pages of copied filler content.