SKILLEMALL.ai

AC budget-builder

Dual-mode budget pipeline for FP&A-quality budget management. Mode A (--build) generates an annual budget from 12 months of QBO history with auto-detected seasonal patterns, configurable growth assumptions, and manual overrides. Mode B (--compare, default) pulls YTD actuals from QBO, compares against the saved budget, flags material variances, generates management commentary stubs, builds a rolling forecast, and tracks budget accuracy over time via CDC. Outputs professional Excel workbooks with 4 tabs (Build) or 6 tabs (Compare). Use when: building the annual operating plan, running monthly BvA close, generating board-ready variance reports, or tracking which categories consistently miss budget. NOT for: multi-entity consolidations, tax preparation, real-time bookkeeping, or ad-hoc P&L analysis without a budget baseline (use pl-deep-analysis instead).

ClawHub Agent Skills author: samledger67-dotcom v1.0.2 MIT-0 2 files body ≈ 2 245 tokens Open the sourceclawhub.ai analyzed 2 d ago

Dual-mode budget pipeline for FP&A-quality budget management.

As a process C 62/100 · Has gaps — weak spots: inputs and preconditions, running it twice

ProcedureExcelFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Running it twice w 4
30
When it triggers w 12
50
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: 0. 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 62/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 2 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 30 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2245 tokens
    • 100Progress reporting. Reports progress
    • low 14 top-level sections: this looks like several domains in one skill

    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 863: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 30 items
    • +3Output format is stated explicitly
    • +4Has examples (12 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a coherent budgeting/reporting helper that reads QuickBooks financial data and writes local budget/report files, with no evidence of hidden or destructive behavior.
    LLM: benign (medium) · VirusTotal: · 12 Sept 2026