SKILLEMALL.ai

AD linkpix-wanx-3-sales

帮助淘宝、天猫、1688商家以及淘系运营团队通过青虎AI完成“阿里Wanx 3.0 电商带货视频”:深度适配淘系电商视觉生态,支持文字极速生成视频、图片一键生成动态视频,以及精细的局部动态控制。特别适用于淘宝主图视频、天猫大促活动视频、1688工厂直供展示、淘系直播间引流花絮、以及阿里妈妈信息流广告投放素材。完美融合中文语境和电商卖点,大大提升淘系店铺的转化率。 Use this skill for 阿里Wanx3.0电商视频, 通义万相视频, 淘宝主图视频, 天猫大促, 1688视频, 阿里妈妈, 直播间引流, 淘系电商, AI视频生成, 动态商品图, 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 阿里Wanx 3.0 电商带货视频 或 阿里 Wanx 3.0 / 通义万相(目录里常见 `阿里wanx3.0 15秒`) 做带货/商品/种草/广告视频时必须触发。关键词:LinkPix、qhkit、青虎、阿里Wanx 3.0、通义万相、wanx3.0、淘宝主图视频、天猫大促、1688、阿里妈妈、淘系电商、动态商品图。

ClawHub Agent Skills author: AutoAGC v0.1.1 MIT-0 2 files body ≈ 1 617 tokens Open the sourceclawhub.ai analyzed 3 d ago

帮助淘宝、天猫、1688商家以及淘系运营团队通过青虎AI完成“阿里Wanx 3.0…

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

ProcedureInfrastructuretype 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. 28 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1617 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 486: 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.

    External checks

    ClawHub: suspicious
    The skill is a coherent video-generation connector, but it asks the agent to install mutable third-party tools at runtime and collect an API key through chat.
    LLM: suspicious (high) · 8 Sept 2026