BD qinghu-workflow-apps
青虎AI 电商工作流应用总入口：通过 qhkit workflow 命令调用青虎工作台的全部 AI 应用，覆盖爆款视频模仿、电影质感 TVC 广告片、女装开门换装仿拍、双人带货视频、模特图去 AI 感、模特换装还原、图片超清修复、图片去水印、商品视频超清提升，以及短视频与达人数据引擎。当用户要用青虎 AI 应用、做爆款仿拍、生成广告视频、修图超清、去水印、追踪短视频或达人数据，或不确定该用哪个 AI 应用时必须触发。关键词：青虎AI、AI应用、工作流、爆款仿拍、TVC广告、模特换装、超清修复、去水印、数据引擎、视频生成。
青虎AI 电商工作流应用总入口：通过 qhkit workflow 命令调用青虎工作台的全部 AI 应用，覆盖爆款视频模仿、电影质感 TVC 广告片、女装开门换装仿拍、双人带货视频、模特图去 AI 感、模特换装还原、图片超清修复、图片去水印、商品视频超清提升，以及短视频与达人数据引擎。当用户要用青虎 AI…
As a process D 43/100 · 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: 2. 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") - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 43/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
- 100Steps. 28 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1279 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 263: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 28 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.