AD linkpix-tiktok-viral-video
TikTok 爆款带货视频生成。帮助跨境卖家、MCN机构、海外广告投放师通过青虎AI完成“TikTok 爆款带货视频生成”：可调用可灵Kling 3.0、阿里Wanx 3.0、MiniMax H3、Seedance 2.0、Seedance 2.5、HappyHorse 1.1等大模型，轻松生成多语言口播、卡点变装、搞笑短剧、跨境种草、信息流投放等视频类型，完美贴合TikTok病毒式传播和多国受众偏好。适用于TikTok Shop、TikTok Ads、东南亚及欧美站点等跨境短视频营销场景。Use this skill for TikTok爆款视频, 多语言口播, 卡点变装, 搞笑短剧, 跨境种草, 信息流投放, TikTok Shop, 病毒式传播, 全球化分发, MiniMax H3, Grok, Seedance, 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。 当用户要求做TikTok 爆款视频生成或TikTok带货/种草/投放短视频时必须触发。关键词：LinkPix、qhkit、青虎、TikTok爆款视频、TikTok Shop、多语言口播、卡点变装、搞笑短剧、跨境种草、TikTok Ads、病毒式传播。
TikTok 爆款带货视频生成。帮助跨境卖家、MCN机构、海外广告投放师通过青虎AI完成“TikTok 爆款带货视频生成”：可调用可灵Kling 3.0、阿里Wanx 3.0、MiniMax H3、Seedance 2.0、Seedance 2.5、HappyHorse…
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. 25 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1549 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 529: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.