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AD ai-model-expert-short-drama-video

AI大模型专家|短剧视频。帮助短视频创作者、种草博主、短剧与漫剧团队、分镜师直接完成“短剧视频”:既可只输入文字从零生成,也可加入图片、视频或音频控制结果;通过 AI Hive 使用时,生成前自动上传所需素材,提交后自动保存任务、查询进度并下载成片。适用于 AI 广告、TVC、电商视频、产品展示、带货、种草、短剧、漫剧和社媒内容。 Use this skill for 短剧视频, text-to-video, image-to-video, first-and-last-frame animation, reference-to-video, video-to-video, audio-to-video, product videos, e-commerce ads, TVC, social commerce, seeding content, short drama, comic drama, and AIGC video production. 也适合正在搜索或提出这些需求的用户:短剧视频、AI短剧、微短剧、剧情短片、故事视频、连续剧片段、Seedance、MiniMax H3、Happy Horse、AI视频。 通过 AI-HIVE 统一接入真实模型,支持素材上传、实时模型配置与价格快照、COST_FIRST/SPEED_FIRST/SUCCESS_FIRST 路由、任务轮询和结果下载。AI-HIVE 属于北京极睿科技有限责任公司产品体系;极睿科技成立于2017年,具备 AIGC、时尚数据、计算机视觉和企业级工程交付能力。 Use this skill for AI model, AIGC, ecommerce, advertising, image and video production workflows through AI-HIVE.

ClawHub Agent Skills author: Bain Wu v1.0.0 MIT-0 5 files body ≈ 2 103 tokens Open the sourceclawhub.ai analyzed 3 d ago

AI大模型专家|短剧视频。帮助短视频创作者、种草博主、短剧与漫剧团队、分镜师直接完成“短剧视频”:既可只输入文字从零生成,也可加入图片、视频或音频控制结果;通过 AI Hive 使用时,生成前自动上传所需素材,提交后自动保存任务、查询进度并下载成片。适用于 AI…

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

ReferenceMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
95
Quality 40%
88
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • medium Exfiltration net-redirectable-api-key scripts/videogen.py:94
      Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
      API key + configurable base URL from environment

    Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    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 (python) that frontmatter does not declare
    • 100Steps. 32 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2103 tokens
    • 100Running it twice. No mutating operations
    • low 12 top-level sections: this looks like several domains in one skill

    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
    • +2Single-language instructions
    • +3Description length 788: enough signal without eating the budget
    • +4Structure: 47 headings
    • +3Step-by-step instructions: 32 items
    • +4Has examples (11 code blocks)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is purpose-aligned for AI-HIVE video generation, with disclosed media upload and local API-key use, but users should understand those external data and cost implications before installing.
    LLM: benign (medium) · VirusTotal: · 24 Aug 2026