SKILLEMALL.ai

AD linkpix-seedance-25-sales

帮助品牌团队、电商美工和投流手通过青虎AI完成“Seedance 2.5 电商带货视频”:在2.0基础上大幅提升了对文字提示、多参考图以及物理细节的理解,画面更具真实感和电影感。特别适合高质量产品宣传片、美妆质感测评、高客单价商品的视觉展现。适配高端淘宝天猫店、京东自营商品页、Amazon站内广告、小红书高端种草笔记配套视频、Temu精品店等场景,大大提升品牌溢价感。 Use this skill for Seedance2.5电商视频, 高清视频生成, 产品宣传片, 美妆测评, 电影质感, 淘宝, 天猫, 京东, Amazon, 小红书, Temu, 带货视频, 电商广告, 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 Seedance 2.5 电商带货视频 或 Seedance 2.5 做带货/商品/种草/广告视频时必须触发。关键词:LinkPix、qhkit、青虎、Seedance 2.5、Seedance2.5、产品宣传片、美妆测评、电影质感、高客单、淘宝天猫、Amazon、小红书、Temu。

ClawHub Agent Skills author: AutoAGC v0.1.1 MIT-0 2 files body ≈ 1 606 tokens Open the sourceclawhub.ai analyzed 3 d ago

帮助品牌团队、电商美工和投流手通过青虎AI完成“Seedance 2.5…

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 1606 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 479: 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 matches its video-generation purpose, but needs review because it asks for an API key in chat and automatically installs or upgrades unpinned tools.
    LLM: suspicious (high) · 8 Sept 2026