AC apartment-scorecard
Use 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.
Use when comparing apartments or rental homes and torn between options, when deciding if a listing is actually affordable, when touring rentals and needing to…
As a process C 50/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 50/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1600 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +3Description length 867: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +4Structure: 9 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 2 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.