AD linkpix-grok-sales
帮助跨境卖家、智能内容团队通过青虎AI完成“Grok 电商带货视频”：利用Grok对互联网内容和流行语的高度敏感，生成极具网感和话题度的商品介绍视频，精准捕捉年轻人的喜好。特别适用于小红书热点种草、抖音原生搞笑/反转剧情带货、TikTok病毒式营销视频、Instagram Reels潮流内容展示，以及Amazon/Shopee的社媒引流视频。通过青虎AI统一接入，自动生成声情并茂的口播，让产品极具社交传播力。 Use this skill for Grok电商视频, 社媒视频, 病毒式营销, 网感, 小红书, 抖音, TikTok, Reels, Amazon, Shopee, 引流视频, AI视频生成, 智能口播, AIGC视频生成。通过青虎AI统一接入，支持素材上传、任务轮询和结果下载。 当用户要求用 Grok 电商带货视频 或 Grok 做带货/商品/种草/广告视频时必须触发。关键词：LinkPix、qhkit、青虎、Grok、Grok视频、网感、病毒式营销、热点种草、反转剧情、TikTok、Reels、小红书、智能口播。
帮助跨境卖家、智能内容团队通过青虎AI完成“Grok 电商带货视频”：利用Grok对互联网内容和流行语的高度敏感，生成极具网感和话题度的商品介绍视频，精准捕捉年轻人的喜好。特别适用于小红书热点种草、抖音原生搞笑/反转剧情带货、TikTok病毒式营销视频、Instagram…
As a process D 46/100 · Unfinished process — 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
- 100Steps. 28 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1583 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 471: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 28 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.