SKILLEMALL.ai

AD linkpix-vidu-q2-clone

帮助卖家通过青虎AI完成“Vidu Q2 爆款视频复刻”:擅长精准还原爆款视频的特定机位、转场和定格动画感,特别适合快节奏的时尚穿搭、饰品开箱和魔法特效类内容复刻。适用于国内抖音、快手、小红书平台的爆款高仿/二创,以及TikTok、Instagram Reels等海外平台的流行趋势跟进,高频产出符合平台算法偏好的优质带货内容。 Use this skill for ViduQ2爆款复刻, 机位还原, 定格动画, 时尚穿搭, 饰品开箱, 抖音, 快手, 小红书, TikTok, Reels, 爆款克隆, 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 Vidu Q2 爆款视频复刻 或 Vidu Q2 复刻/对标/照着做爆款视频时必须触发。关键词:LinkPix、qhkit、青虎、Vidu Q2、爆款复刻、机位还原、定格动画、时尚穿搭、饰品开箱、抖音、TikTok、Reels。

ClawHub Agent Skills author: AutoAGC v0.1.1 MIT-0 2 files body ≈ 1 562 tokens Open the sourceclawhub.ai analyzed 3 d ago

帮助卖家通过青虎AI完成“Vidu Q2 爆款视频复刻”:擅长精准还原爆款视频的特定机位、转场和定格动画感,特别适合快节奏的时尚穿搭、饰品开箱和魔法特效类内容复刻。适用于国内抖音、快手、小红书平台的爆款高仿/二创,以及TikTok、Instagram…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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

    • note frontmatter-key unknown 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 1562 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 411: 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.

    External checks

    ClawHub: suspicious
    The skill mostly matches its video-generation purpose, but it asks users to paste an API key into chat and uses broad, mutable install and command patterns that deserve review before use.
    LLM: suspicious (high) · 8 Sept 2026