AD ai-video-factory
做一条短视频要剪辑2小时？输入主题，自动完成文案→素材→配音→字幕→BGM→成片。抖音/快手/B站/YouTube/小红书/视频号全平台适配。批量生产一天出10条。 触发词：AI视频/自动做视频/一键成片/批量视频/视频工厂/帮我做视频/视频自动生成/短视频矩阵/多平台分发 排除：视频剪辑教程/直播推流/长视频(>5分钟)/电影级特效/格式转换 上下文：用户提到做视频/生成视频/批量出视频/视频自动化
做一条短视频要剪辑2小时？输入主题，自动完成文案→素材→配音→字幕→BGM→成片。抖音/快手/B站/YouTube/小红书/视频号全平台适配。批量生产一天出10条。 触发词：AI视频/自动做视频/一键成片/批量视频/视频工厂/帮我做视频/视频自动生成/短视频矩阵/多平台分发…
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 49/100
- 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
- 40Consistency. Frontmatter name (ai-video-factory) differs from the folder (mimo-ai-video-factory)
- 100Tools and files. No external tools needed
- 100Steps. 22 steps
- 100Execution cost. Instruction body is 380 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
- -213 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 202: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 22 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.