ワンクリックで
max-bid-calculator-skill
Calculate maximum bid using BidDeed formula and bid/judgment ratios to determine BID/REVIEW/SKIP decisions
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Calculate maximum bid using BidDeed formula and bid/judgment ratios to determine BID/REVIEW/SKIP decisions
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
Autonomous browser control via Chrome DevTools Protocol and Accessibility Tree for full screen control like GPT Operator. Use when user requests "control my screen", "verify Lovable", "test scrapers", "debug DOM", "autonomous testing", or any browser automation task. NO screenshots - uses CDP + semantic queries for 10x faster, 100% reliable element targeting.
Extract property data from Brevard County Property Appraiser GIS API including photos, valuations, and parcel details
Execute 12-stage Everest Ascent pipeline for foreclosure auction analysis from discovery to disposition
Discover and analyze lien positions from AcclaimWeb and RealTDM to detect HOA foreclosures and senior mortgage survival
Find qualified leads with decision makers and outreach strategies
Implement Stripe payments, webhooks, and subscriptions correctly first time
SOC 職業分類に基づく
| name | max-bid-calculator-skill |
| description | Calculate maximum bid using BidDeed formula and bid/judgment ratios to determine BID/REVIEW/SKIP decisions |
Calculates maximum bid amount and decision recommendation using BidDeed.AI proprietary formula.
MAX_BID = (ARV × 70%) - Repairs - Holding - MIN(Profit_Buffer, 15% × ARV)
Where:
- ARV: After-Repair Value
- Repairs: Conservative repair estimate
- Holding: $10,000 (standard carrying costs)
- Profit_Buffer: LESSER of $25,000 OR 15% of ARV
Purpose: Conservative purchase price ceiling Reasoning: Industry standard for value investors Example: ARV $400K → Max $280K (70%)
Sources:
Fixed Amount: $10,000 Covers:
Formula: MIN($25,000, 15% × ARV) Examples:
Reasoning: Guarantees minimum profit while capping risk
ARV: $180,000
Repairs: $15,000
Holding: $10,000
Profit Buffer: MIN($25K, 15% × $180K) = MIN($25K, $27K) = $25K
MAX_BID = ($180K × 70%) - $15K - $10K - $25K
= $126K - $15K - $10K - $25K
= $76,000
ARV: $450,000
Repairs: $35,000
Holding: $10,000
Profit Buffer: MIN($25K, 15% × $450K) = MIN($25K, $67.5K) = $25K
MAX_BID = ($450K × 70%) - $35K - $10K - $25K
= $315K - $35K - $10K - $25K
= $245,000
ARV: $300,000
Repairs: $60,000
Holding: $10,000
Profit Buffer: MIN($25K, 15% × $300K) = MIN($25K, $45K) = $25K
MAX_BID = ($300K × 70%) - $60K - $10K - $25K
= $210K - $60K - $10K - $25K
= $115,000
After calculating max bid, compare to judgment amount:
RATIO = MAX_BID / JUDGMENT_AMOUNT
BID (Ratio ≥ 0.75):
REVIEW (Ratio 0.60 - 0.74):
SKIP (Ratio < 0.60):
Max Bid: $245,000
Judgment: $280,000
Ratio: $245K / $280K = 0.875 (87.5%)
→ Decision: BID
→ Reasoning: 87.5% ratio = strong value
Max Bid: $175,000
Judgment: $260,000
Ratio: $175K / $260K = 0.673 (67.3%)
→ Decision: REVIEW
→ Reasoning: Close to threshold, needs human judgment
Max Bid: $130,000
Judgment: $285,000
Ratio: $130K / $285K = 0.456 (45.6%)
→ Decision: SKIP
→ Reasoning: Insufficient equity, too risky
{
"arv": 400000,
"repairs": 35000,
"holding_costs": 10000,
"profit_buffer": 25000,
"max_bid": 245000,
"judgment_amount": 320000,
"bid_ratio": 0.766,
"decision": "REVIEW",
"reasoning": "76.6% ratio - marginal opportunity, human review recommended"
}
# Stage 8: Max Bid Calculation
calc_result = max_bid_calculator_skill.calculate(
arv=arv_estimate,
repairs=repair_estimate,
judgment=auction_judgment
)
if calc_result['decision'] == 'BID':
# Proceed to report generation
generate_report(calc_result)
elif calc_result['decision'] == 'REVIEW':
# Flag for Ariel's review
flag_for_human_review(calc_result)
else: # SKIP
# Log and move on
log_skip(calc_result)
Every calculation must be logged to Supabase:
supabase.table('auction_decisions').insert({
'property_id': case_number,
'arv': arv,
'repairs': repairs,
'max_bid': max_bid,
'judgment': judgment,
'ratio': ratio,
'decision': decision,
'timestamp': datetime.now(),
'reasoning': reasoning
})
When to Add Safety Margin:
Example with Safety Margin:
Base Repairs: $25,000
Unknown condition: +$5,000
Old property: +$10,000
Total Repairs: $40,000 (conservative)
"Use max-bid-calculator-skill to calculate bid for property with ARV $350K, repairs $30K, judgment $280K"
"Calculate max bid: ARV $180K, repairs $15K, judgment $150K"