AB virtual-board-of-advisors
Virtual Board of Advisors -- consult 10 world-class business thinkers for strategic decisions. Emulates frameworks and decision patterns of Altman (startups), Kozyrkov (decision science), Miller (AI), Hormozi (offers/pricing), Robbins (performance), Brooks (meaning/culture), Vaynerchuk (marketing), Flynn (audience/superfans), Blank (values-leadership), Israetel (fitness/nutrition). Use when: (1) strategic business decisions, (2) offers/pricing/positioning, (3) marketing/brand strategy, (4) AI/automation strategy, (5) leadership/culture, (6) health/fitness product dev, (7) multi-expert perspectives on any business challenge. Not for legal, medical, or licensed professional advice.
As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice
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: 13. 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 66/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 60Failures and branches. 2 branches
- 100Tools and files. No external tools needed
- 100Steps. 34 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1632 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
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 688: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 34 items
- +4Reference files are cited in the instructions (11 of 11)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.