SKILLEMALL.ai

AB au-modern-award-payroll-auditor

Audit Australian payroll for Modern Award compliance — identify the correct award and classification, verify base rates, penalty rates, overtime, allowances, casual loading, annualised salary BOOT test, and superannuation against Fair Work Act minimums for Australian businesses.

ClawHub Agent Skills author: Arbaz Asif v1.0.0 MIT-0 3 files body ≈ 9 085 tokens Open the sourceclawhub.ai analyzed 3 d ago

Audit Australian payroll for Modern Award compliance — identify the correct award and classification, verify base rates, penalty rates, overtime, allowances…

As a process B 73/100 · Nearly there — weak spots: inputs and preconditions, execution cost, running it twice

AnalyzerFinanceSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
B
73/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 9085 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 73/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 4 mutating operations with no state check
  • 40Execution cost. Instruction body is 9085 tokens: crowds the task out of the window
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 179 steps, 3 vague phrases
  • 100Tools and files. No external tools needed
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 279: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 179 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: clean
This is a text-only Australian payroll compliance guidance skill with no code execution, credential access, or hidden system behavior, though users should verify rates before relying on it.
LLM: benign (high) · VirusTotal: · 30 May 2026