SKILLEMALL.ai

AB working-capital-optimizer

Analyze and optimize working capital for SMBs and growth-stage companies. Calculates DSO (Days Sales Outstanding), DPO (Days Payable Outstanding), DIO (Days Inventory Outstanding), and the full Cash Conversion Cycle (CCC). Identifies AR aging risks, AP extension opportunities, and inventory carrying costs. Produces actionable improvement recommendations with projected cash flow impact. Use when: a client has cash flow strain despite profitability, AR is aging, AP terms need renegotiating, or a CFO wants to free up working capital without new financing. NOT for: tax preparation, payroll, or capital structure decisions (debt vs equity raises). NOT for real-time accounting integrations — use qbo-automation for live QBO data pulls. NOT for inventory management software configuration (use vendor-specific skill).

ClawHub Agent Skills author: samledger67-dotcom v1.0.0 MIT-0 2 files body ≈ 3 739 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 65/100 · Nearly there — weak spots: inputs and preconditions, failures and branches, progress reporting

AnalyzerFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
B
65/100
Nearly there
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: 2. 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 65/100

    • 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
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 20 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3739 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 818: 120–800 characters recommended
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 20 items
    • +3Output format is stated explicitly
    • +4Has examples (13 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This is a finance analysis skill that asks for sensitive business financial data, but its behavior is disclosed, advisory, and aligned with working-capital optimization.
    LLM: benign (high) · VirusTotal: · 29 May 2026