BC ecommerce-after-sales
电商售后客服规范应答Skill。用于支撑客服人员快速生成符合品牌服务规范的应答内容，覆盖三类高频售后场景：(1) 退换货申请——用户发起退货、换货、七天无理由等诉求；(2) 物流异常咨询——用户反馈物流停滞、丢件、错件、破损等异常；(3) 售后补偿协商——用户对售后结果不满，要求补偿、赔偿、差价退还等。当用户咨询涉及电商售后退换货、物流异常、补偿协商时触发此Skill。适用于电商客服人员在任何售后咨询场景下重复调用以生成合规、统一、专业的应答话术。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 47 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 572 tokens
- 100Running it twice. No mutating operations
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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 226: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 47 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: clean
This is a prompt-only ecommerce customer-service response aid with no code, installs, hidden actions, or suspicious scanner findings.
LLM: benign (high) · VirusTotal: · 29 May 2026