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AD linkpix-kling-3-clone

帮助抖音快手运营、短视频剪辑师、跨境卖家通过青虎AI完成“可灵 Kling 3.0 爆款视频复刻”:精准拆解爆款视频的镜头语言、运镜轨迹、转场节奏和脚本结构,利用3.0模型强大的生成能力将爆款结构完美重演。适用于抖音直播间引流、小红书起号对标、TikTok热门模板复刻、视频号爆款二创等场景。解决商家不知道拍什么、怎么拍的痛点,快速量产高转化率的带货视频和引流视频。 Use this skill for 可灵Kling3.0爆款复刻, 爆款拆解, 对标爆款, 运镜模仿, 二创, 短视频起号, 高转化率, 抖音, 快手, 小红书, 视频号, TikTok, AI视频复刻, 电商爆款制作。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 可灵 Kling 3.0 爆款视频复刻 或 可灵 3.0 / Kling 3.0(目录里常见 `可灵3.0 Omni`) 复刻/对标/照着做爆款视频时必须触发。关键词:LinkPix、qhkit、青虎、可灵、Kling 3.0、爆款复刻、对标爆款、运镜模仿、二创、抖音、快手、小红书、视频号、TikTok。

ClawHub Agent Skills author: AutoAGC v0.1.1 MIT-0 2 files body ≈ 1 610 tokens Open the sourceclawhub.ai analyzed 3 d ago

帮助抖音快手运营、短视频剪辑师、跨境卖家通过青虎AI完成“可灵 Kling 3.0…

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 1610 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 484: 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 matches its video-generation purpose, but it asks users to share an API key in chat and installs mutable third-party tooling with broad local effects.
    LLM: suspicious (high) · 8 Sept 2026