Analyze contractor bids against CWICR benchmarks. Identify pricing anomalies, compare bid components, and support bid evaluation decisions.
SkillScore79Maintained
Automatic
◆Procurement pack
Last verified 8/27/2026
What it changes
Passed 19 of 24 test cases with the skill, and 7 of 24 without it.
Without skill29%
With skill79%
Checks it passed that the model alone missed
Classifies a -45.5% variance as VERY_LOW
Assigns COMPLIANT overall status to the bid
Includes max_overpriced in summary statistics
and 12 more in the full report
12 fixed7 passed either way5 still failing0 broke
Pass-rate lift
+50 pp
Tokens
+202%
Agent turns
0%
Response time
+1%
Model gemini-3.6-flashMeasured 8/27/2026v219 of 24 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 12
Prompt
An electrical sub-bid item has a unit rate of $220.00 compared to a benchmark cost of $140.00 (+57.1% variance). What price anomaly flag is assigned to this line item?
What was checked, without and with the skill
Checked
Without skill
With skill
Classifies a +57.1% rate variance as VERY_HIGH
Missed
Passed
case-07 · gemini-3.6-flash · 8/27/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md426 linessingle file
CWICR Bid Analyzer
Business Case
Problem Statement
Evaluating contractor bids requires:
Comparing against market benchmarks
Identifying unusual pricing
Understanding cost composition
Documenting evaluation rationale
Solution
Analyze contractor bids against CWICR-based benchmarks to identify anomalies, compare components, and support objective bid evaluation.
Business Value
Objective evaluation - Data-driven bid analysis
Risk identification - Spot unrealistic pricing
Fair comparison - Normalized bid analysis
Documentation - Audit trail for decisions
Technical Implementation
import pandas as pd
import numpy as np
from typing import Dict, Any, List, Optional, Tuple
from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum
from collections import defaultdict
class BidStatus(Enum):
"""Bid evaluation status."""
COMPLIANT = "compliant"
NON_COMPLIANT = "non_compliant"
UNDER_REVIEW = "under_review"
RECOMMENDED = "recommended"
NOT_RECOMMENDED = "not_recommended"