apartment-scorecardUse when comparing apartments or rental homes and torn between options, when deciding if a listing is actually affordable, when touring rentals and needing to score them consistently instead of by vibes, when the advertised rent hides fees/parking/pet rent/utilities/commute, when preparing to negotiate rent or lease terms, or when defining what you actually need (bedrooms, pets, commute ceiling) before searching — applies hard constraints first (budget, commute, bedrooms, pets, move date) to kill unqualified listings, scores survivors on 16 weighted criteria YOU prioritize, computes the true all-in monthly cost with every fee amortized, runs affordability analysis (30/33/50% rules, 3x-income approval math), compares finalists side-by-side with the quality-vs-cost premium quantified, and generates a leverage-based negotiation script with anchoring targets.
Install via ClawdBot CLI:
clawdbot install voronindenis5/apartment-scorecardGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawhub.ai/user/voronindenis5Audited Sep 29, 2026 · audit v1.0
Generated Sep 29, 2026
A professional accepts a job offer in a new city and must choose among 3-5 rental listings toured during a single weekend trip. The skill applies hard constraints (budget, commute, pets, move date) to eliminate unqualified options, then compares the survivors using true all-in monthly cost including amortized broker fees, parking, and commute time converted to dollars.
A renter has narrowed their search to two apartments and is stuck comparing a cheaper unit with a longer commute against a pricier unit near transit. The skill quantifies the quality-vs-cost premium and shows the true monthly cost so the decision becomes a clear dollar trade-off rather than a vibes-based choice.
A prospective tenant wants to negotiate rent or lease terms before signing. Using facts such as days vacant, comparable listings, and move-in speed, the skill generates an anchoring target and a leverage-based negotiation script that trades lease length or sign speed for lower monthly rent.
A young professional moving out for the first time needs to know their real affordability ceiling before touring. The skill computes the 30/33/50 percent rules, landlord 3x-income approval math, and front costs so they avoid listings that will later strain their finances.
A high-earning but time-poor worker tours 4-6 apartments in one day and struggles to remember details accurately. The skill provides a 1-5 scoring sheet across 16 weighted criteria to capture impressions within an hour of each visit and then ranks listings consistently afterward.
A free tier offers basic affordability checks and criteria scoring, while a premium subscription unlocks true-cost modeling with commute-time valuation, side-by-side comparison reports, and negotiation script generation. The tool works as a standalone CLI or integrates into property listing platforms.
Property management companies license the scorecard engine to offer prospective tenants a transparent cost-and-quality comparison tool, reducing friction and vacancy days. The skill can also help managers benchmark their listings against market comparables.
Employers and relocation companies bundle the apartment-scorecard skill into employee relocation packages as a self-service tool. New hires use it to evaluate rentals quickly, while HR gains a scalable way to support mobility without one-on-one counseling.
💬 Integration Tip
Run the bundled Python CLI directly or wrap it in a lightweight web or mobile front end that reads listing JSON; store user weights in ~/.apartment-scorecard.json to persist personal priorities across sessions.
Scored Sep 29, 2026
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