BC ai-video-factory
做一条短视频要剪辑2小时？输入一个主题，自动完成文案→素材搜索→语音合成→字幕→BGM→成片输出。抖音/快手/TikTok/YouTube/B站/小红书/视频号全平台适配。批量生产，一天出10条不是梦。支持AI配音、智能配乐、多语言字幕、批量导出，从选题到成片全流程自动化。 触发词：AI视频生成、自动做视频、短视频批量生产、一键生成视频、视频工厂、批量视频、视频自动化、AI做短视频、自动剪视频、视频文案生成、短视频脚本、视频素材搜索、自动配音、字幕生成、BGM匹配、视频批量导出、短视频创作、视频内容生产、自动化视频、AI剪辑、一键成片、视频工厂流水线、短视频矩阵、多平台视频分发、竖屏视频、横屏视频、短视频文案、视频配音、AI视频工具、短视频批量制作、视频生成器、自动出片、做视频、帮我做视频、生成视频、视频制作、自动化短视频、批量生成视频、视频创作助手、智能视频、视频批量、一键出视频、帮我出条视频、视频自动生成、视频内容生成、短视频自动化、视频工厂、电商视频、知识付费视频、品牌宣传视频、产品演示视频、探店视频、批量出视频、快速做视频、video generator、auto video、batch video creation、AI video maker、auto edit video、video factory、batch video、create video automatically、short video generator、video automation、AI video tool、make video、generate video、video production、smart video creator、multi-platform video、video batch export、bulk video maker 排除：视频剪辑指导、直播推流、长视频(>5分钟)、视频后期精修、电影级调色
做一条短视频要剪辑2小时？输入一个主题，自动完成文案→素材搜索→语音合成→字幕→BGM→成片输出。抖音/快手/TikTok/YouTube/B站/小红书/视频号全平台适配。批量生产，一天出10条不是梦。支持AI配音、智能配乐、多语言字幕、批量导出，从选题到成片全流程自动化。…
As a process C 59/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 59/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- 100Steps. 104 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1673 tokens
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 815: 120–800 characters recommended
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +4Structure: 22 headings
- +3Step-by-step instructions: 104 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.