SKILLEMALL.ai

AC budget-vs-actual

Monthly and quarterly budget vs. actual variance analysis for businesses. Compare planned vs. realized revenue, expenses, and margins. Identify favorable/unfavorable variances, root-cause material variances (>5% or >$X threshold), produce management commentary, and generate actionable reforecast recommendations. Outputs: variance table, waterfall narrative, and updated rolling forecast. Use when a CFO, controller, or analyst needs to close the books for a period, explain results to management or investors, or update the annual operating plan mid-year. NOT for: building budgets from scratch (use startup-financial-model), tax preparation, transactional bookkeeping, or real-time cash tracking.

ClawHub Agent Skills author: samledger67-dotcom v98.0.2 MIT-0 3 files body ≈ 3 434 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

AnalyzerFinanceData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
C
63/100
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: 3. 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

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 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. 39 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3434 tokens

    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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 699: enough signal without eating the budget
    • +4Structure: 27 headings
    • +3Step-by-step instructions: 39 items
    • +3Output format is stated explicitly
    • +4Has examples (16 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: suspicious
    The skill itself is a normal finance analysis guide, but the package includes an apparent real-client test report with identifying financial details.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026