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🦀 ClawHub

Bid Document Review (Lite)

by @zacjiang

AI-powered bid/tender document review. Extracts text from .docx/.doc files, cross-references bid requirements vs responses, and generates a detailed audit re...

Versionv1.0.0

Downloads666

Stars⭐ 1

#legal

View on ClawHub →

TERMINAL

clawhub install bid-review-lite

📖 About This Skill

name: bid-review-lite description: AI-powered bid/tender document review. Extracts text from .docx/.doc files, cross-references bid requirements vs responses, and generates a detailed audit report with risk ratings. author: zacjiang version: 1.0.0 tags: bid, tender, procurement, review, audit, compliance, document

Bid Document Review (Lite)

Review bid/tender documents for errors, contradictions, compliance issues, and fraud indicators using AI analysis.

What it does:

Extracts text + tables from .docx and .doc bid documents

Cross-references procurement requirements vs bid responses

Checks pricing consistency, qualification claims, technical parameters

Identifies contradictions, missing information, expired certificates

Generates a structured audit report with 🔴/🟡/🟢 risk ratings

Ideal for:

Bid managers reviewing submissions before deadline

Procurement officers auditing received bids

Companies reviewing competitor bids (post-award disclosure)

Quality assurance on your own tender responses

Quick Start

1. Place your bid documents in a working directory: - Procurement/tender document (the requirements) - Bid/response document (what was submitted)

2. Tell your agent:

   Review the bid documents in [directory]. The procurement document is [file1] 
   and the bid response is [file2].

3. The agent will: - Extract all text and tables - Analyze against the checklist below - Generate a structured report

Text Extraction

For .docx files:

python3 {baseDir}/scripts/extract_text.py input.docx output.txt

For .doc (legacy) files:

python3 {baseDir}/scripts/extract_doc_text.py input.doc output.txt

Review Checklist

1. Pricing & Commercial

[ ] Total price within maximum limit

[ ] Unit prices within per-item limits

[ ] Tax rate calculations correct

[ ] Amount in words matches figures

[ ] No abnormally low pricing (dumping risk)

[ ] Payment terms match requirements

2. Mandatory Requirements (★ items)

[ ] ALL mandatory/starred parameters responded to

[ ] Responses meet or exceed minimums

[ ] Supporting evidence provided for each claim

[ ] No contradictions between different sections

3. Qualification & Eligibility

[ ] Business license valid and matching

[ ] Required certifications in-date

[ ] Performance track record meets minimum

[ ] Credit/reputation checks provided

[ ] Authorization letters (if agent/distributor)

4. Technical Response

[ ] All technical parameters addressed

[ ] Claims supported by test reports/certificates

[ ] Product model matches throughout document

[ ] Standards referenced are current (not withdrawn)

[ ] Delivery timeline realistic vs. claimed

5. Document Integrity

[ ] Bidder name consistent throughout

[ ] Signatures and seals present where required

[ ] Dates logical (no future dates, no pre-bid dates)

[ ] Page numbering sequential

[ ] No template placeholders left unfilled (e.g. [X], [TBD])

6. Common Red Flags

[ ] Identical test results matching nominal values exactly (fabrication indicator)

[ ] Contracts with missing signatures or blank fields

[ ] Expired certificates/qualifications submitted as valid

[ ] Third-party materials without clear authorization

[ ] Inconsistent company names across documents

Report Format

Generate the report in Markdown with this structure:

# Bid Review Report
Project Info
Procurement: [name]
Bidder: [name]
Date: [date]
Summary
| Category | Status | 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
...
Checklist Summary
[Completed checklist with pass/fail for each item]

Dependencies

Python 3.6+

python-docx (pip3 install python-docx)

olefile (pip3 install olefile) — for .doc files only

Limitations (Lite Version)

This lite version covers text-based review only. It does not include:

Image extraction and visual analysis (certificates, contracts, photos)

Automated image fraud detection (watermarks, stock photos, expired seals)

PDF report generation

Image compression/optimization for API cost savings

For full image review capabilities, see the complete bid-review skill.

Built From Real Experience

This skill was developed from reviewing 3 real bid documents (1,800+ pages, 2,600+ images) in the road maintenance equipment industry. Every checklist item comes from an actual issue found in production reviews.

Issues discovered include: fake test data, stolen web images with visible watermarks, technical parameters contradicting government records by 4 tons, expired certificates submitted as valid, and 30+ pages of copied filler content.

💡 Examples

1. Place your bid documents in a working directory: - Procurement/tender document (the requirements) - Bid/response document (what was submitted)

2. Tell your agent:

   Review the bid documents in [directory]. The procurement document is [file1] 
   and the bid response is [file2].

3. The agent will: - Extract all text and tables - Analyze against the checklist below - Generate a structured report