SKILLEMALL.ai

AC debt-blitz-planner

Compare debt payoff strategies with real amortization math: avalanche (highest APR first), snowball (smallest balance first), and minimum-only baseline. Shows exact debt-free dates, total interest paid, interest saved, and freed-minimum cascading. Use when the user has credit card debt, student loans, or multiple debts and asks which to pay first, how long until debt-free, or whether to pay off small balances or high rates first.

ClawHub Agent Skills author: voronindenis5 v1.0.0 MIT-0 7 files body ≈ 1 441 tokens Open the sourceclawhub.ai analyzed 3 d ago

Compare debt payoff strategies with real amortization math: avalanche (highest APR first), snowball (smallest balance first), and minimum-only baseline.

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 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 63/100

    • 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
    • 100Tools and files. No external tools needed
    • 100Steps. 36 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1441 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
    • +3Output format is not stated: the model decides each time
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 433: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 36 items
    • +4Has examples (5 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: clean
    This skill is a local debt payoff calculator whose behavior matches its stated personal-finance planning purpose.
    LLM: benign (high) · VirusTotal: · 20 Aug 2026