SKILLEMALL.ai

AC payroll-gl-reconciliation

Reconcile payroll processor reports (Gusto, ADP, Paychex, Rippling) to general ledger journal entries in QuickBooks Online, Xero, or other accounting software. Automates journal entry creation from payroll summaries, validates wage/tax/benefit allocations to correct GL accounts, detects variances, and flags discrepancies before month-end close. Produces audit-ready reconciliation workpapers. Use when: reconciling payroll registers to GL, mapping payroll processor exports to chart of accounts, creating payroll journal entries, validating employee benefit deductions, or preparing payroll workpapers. NOT for: payroll processing or running payroll (use your payroll platform), tax filing (W-2, 941), on-chain payroll (use on-chain-payroll), HR onboarding, or benefits enrollment.

ClawHub Agent Skills author: samledger67-dotcom v1.0.0 MIT-0 2 files body ≈ 5 901 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 61/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, running it twice

AnalyzerFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
61/100
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

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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

  • warning body-long SKILL.md body ≈ 5901 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 61/100

  • 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
  • 70Execution cost. Instruction body is 5901 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 21 steps
  • 100Consistency. Name and required fields are in place
  • low 13 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
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 783: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 21 items
  • +3Output format is stated explicitly
  • +4Has examples (11 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This instruction-only payroll reconciliation skill handles sensitive payroll data, but its behavior is disclosed, purpose-aligned, and not executable by itself.
LLM: benign (high) · VirusTotal: · 29 May 2026