SKILLEMALL.ai

AC lease-review

Professional lease contract review for Taiwan rental agreements. Supports residential, commercial/storefront, and parking space leases. Analyzes clauses for illegality, unfairness, and risk per Taiwan's Lease Protection Act (租賃專法) and standardized contract rules. Use when: (1) Reviewing a rental agreement before signing, (2) Checking if specific clauses are legal/enforceable, (3) Comparing tenant vs landlord rights, (4) Rewriting risky clauses to fair versions.

ClawHub Agent Skills author: tsaitepiao-alt v1.3.0 MIT-0 10 files body ≈ 640 tokens Open the sourceclawhub.ai analyzed 2 d ago

Professional lease contract review for Taiwan rental agreements.

As a process C 50/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
C
50/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 10. 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

    • 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
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (lease-review) differs from the folder (taiwan-lease-review)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 27 steps
    • 100Execution cost. Instruction body is 640 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
    • +4Description does not say when NOT to use the skill (false activations)
    • -219 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 466: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 27 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This skill is a coherent Taiwan lease-review helper with a disclosed local report script and no evidence of hidden data sharing or harmful behavior.
    LLM: benign (high) · VirusTotal: · 14 Jun 2026