AB australian-business-verification
Verifies whether an Australian business is currently registered and active on the Australian Business Register (ABR), using its ABN (Australian Business Number), ACN (Australian Company Number / ASIC number), or business or entity name. Use this skill whenever a user asks to verify, check, confirm, validate, or look up an ABN, ACN, business registration status, "is this ABN active", "is this business registered / legit / real / a scam", GST registration status, entity type, or trading name for any Australian company, sole trader, partnership, trust, or government entity. Also use for KYC, vendor or supplier onboarding, accounts payable invoice checks, BAS/GST compliance, tax invoice validation, and due-diligence tasks involving any Australian business. Queries the official Australian Government ABR JSON API directly (no scraping, no third party) and returns entity name, ABN status (active/cancelled), entity type, GST registration status and date, state/postcode, and registered business and trading names.
Verifies whether an Australian business is currently registered and active on the Australian Business Register (ABR), using its ABN (Australian Business…
As a process B 78/100 · Nearly there — no weak spots found
How to improve
- 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: 7. 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 78/100
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 28 steps, 3 vague phrases
- 100Failures and branches. 4 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3235 tokens
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 1019: 120–800 characters recommended
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +4Structure: 14 headings
- +3Step-by-step instructions: 28 items
- +3Output format is stated explicitly
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 97.