AC retail-agent-setup
Onboarding wizard for retail digital employee agents — guides businesses through a 12-step setup to configure a fully operational AI store assistant. Use when a retail business wants to set up, configure, or customize their digital employee agent. Triggers on: retail agent setup, digital employee setup, 数字员工, 零售助手配置, retail onboarding, store assistant setup, configure retail agent, 线下零售配置, set up my store AI, retail AI employee.
Onboarding wizard for retail digital employee agents — guides businesses through a 12-step setup to configure a fully operational AI store assistant.
As a process C 55/100 · Has gaps — 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: 22. 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 55/100
- 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. 2 mutating operations with no state check
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 5 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1771 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 432: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 5 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (12 of 12)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.