AD ecommerce-copilot
电商运营全流程助手，覆盖淘宝、京东、拼多多、抖音小店等平台的文案创作、客服话术和运营策略。触发场景：用户提到"电商文案"、"淘宝标题"、"商品描述"、"详情页"、"客服话术"、"差评处理"、"催好评"、"带货脚本"、"店铺运营"、"拼多多标题"、"京东商品"、"抖音小店"、"主播话术"、"逼单"、"活动文案"、"双十一"、"618"、"大促"、"卖点提炼"、"产品文案"、"SKU描述"等关键词时激活。支持服装、美妆、食品、数码、家居等各类目。
As a process D 49/100 · Unfinished process — 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: 5. 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 49/100
- 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
- 40Consistency. Frontmatter name (ecommerce-copilot) differs from the folder (cn-ecommerce-copilot)
- 100Tools and files. No external tools needed
- 100Steps. 37 steps
- 100Execution cost. Instruction body is 701 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
- +1No license
- +2Single-language instructions
- +3Description length 223: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: clean
The artifacts are coherent development and moderation workflow skills with disclosed commands and no evidence of hidden or malicious behavior.
LLM: benign (medium) · VirusTotal: · 29 May 2026