AC BuyWise
BuyWise is your personal shopping advisor — it helps you decide whether to buy, where to buy, and when to buy, across all major global and Chinese platforms. Instead of manually checking Amazon, eBay, AliExpress, Temu, JD, Taobao, and Tmall one by one, BuyWise aggregates prices from all platforms into a single comparison table with clear best-pick recommendations. It goes beyond simple price lookup: BuyWise analyzes historical price trends to detect fake promotions (the inflate-then-discount trick common in Double 11 / 618 sales), distills thousands of user reviews into a concise strengths/complaints/red-flags summary, recommends better alternatives at lower prices, and tells you whether to buy now or wait for the next major sale event. Just tell BuyWise what you want to buy — it handles the rest.
As a process C 57/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - note
frontmatter-keyunknown frontmatter key "keywords"
Process rating: all ten parameters 57/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 60Failures and branches. 2 branches
- 100Tools and files. No external tools needed
- 100Steps. 22 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1330 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 810: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -212 emoji in the instructions: noise for the model
- +2Single-language instructions
- +4Structure: 14 headings
- +3Step-by-step instructions: 22 items
- +4Has examples (1 code blocks)
- +3All 4 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.