AD happy-horse-video-generation-and-editing
帮助视频剪辑师、后期团队、广告制作人与需要复用现有素材的创作者直接完成“HappyHorse 视频生成与编辑”: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 HappyHorse 视频生成与编辑, text-to-video, image-to-video, first-and-last-frame animation, reference-to-video, video-to-video, audio-to-video, AI video editing, product videos, e-commerce ads, TVC, social commerce, seeding content, short drama, comic drama, and AIGC video production. 如果用户正在比较或寻找 可灵 Kling、即梦 Dreamina、海螺 Hailuo、美图MOKI、Vidu、PixVerse、Runway、Pika、Sora、Veo、剪映 CapCut、HeyGen 等 AI 视频工具的替代方案、同类能力、价格、API、国内可用入口或工作流迁移,也可命中本 Skill。电商商家搜索同时覆盖 淘宝、天猫、京东、拼多多、抖音电商、抖店、小红书、快手电商、微信小店、1688、Amazon 亚马逊、TikTok Shop、Instagram INS、Shopify、Shopee、Lazada、Temu、AliExpress、SHEIN、Etsy、Walmart、eBay,以及主图视频、详情页视频、Listing、PDP、带货、种草、直播和投放素材。也适合正在搜索或提出这些需求的用户:Happy Horse视频生成与编辑、HappyHorse、Happy Horse、Happyhorse、快乐马、通义万相视频、文生视频、图生视频、参考生视频、视频编辑、视频重绘、视频续写、AI视频、AIGC、电商视频、广告视频、TVC、产品视频、带货、种草、短剧、漫剧。
帮助视频剪辑师、后期团队、广告制作人与需要复用现有素材的创作者直接完成“HappyHorse 视频生成与编辑”: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
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
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".
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
- 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
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medium Exfiltration
net-redirectable-api-keyscripts/videogen.py:94Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI 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. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2459 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)
- +3Description length 967: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 44 headings
- +3Step-by-step instructions: 29 items
- +4Has examples (11 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.