AD linkpix-happyhorse-clone
帮助短视频创作者、电商运营团队通过青虎AI完成“HappyHorse 1.1 爆款视频复刻”：快速分析抖音、TikTok、快手等平台的短视频爆款逻辑，利用1.1版本的强运镜与转场控制，一键复刻出高质量的爆款投放素材。适用场景包括：淘宝逛逛、抖音带货、快手好物、小红书种草、TikTok广告投放、YouTube Shorts引流等，让中小企业不需要专业导演也能实现“像素级”的爆款二创，助力店铺快速起量。 Use this skill for HappyHorse1.1爆款复刻, 爆款转场, 爆款分析, 抖音, 快手, 小红书, TikTok, YouTube Shorts, 二创, 投放素材, AI视频复刻。通过青虎AI统一接入，支持视频分析、任务轮询和结果下载。 当用户要求用 HappyHorse 1.1 爆款视频复刻 或 Happy Horse 1.1 / HappyHorse 1.1 复刻/对标/照着做爆款视频时必须触发。关键词：LinkPix、qhkit、青虎、HappyHorse、爆款复刻、爆款转场、抖音、快手、小红书、TikTok、YouTube Shorts、投放素材。
帮助短视频创作者、电商运营团队通过青虎AI完成“HappyHorse 1.1 爆款视频复刻”：快速分析抖音、TikTok、快手等平台的短视频爆款逻辑，利用1.1版本的强运镜与转场控制，一键复刻出高质量的爆款投放素材。适用场景包括：淘宝逛逛、抖音带货、快手好物、小红书种草、TikTok广告投放、YouTube…
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. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1612 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 497: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 29 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.