AB bili-tech-video-automation
跨平台视频内容产品的六阶段产品管理工作流（需求规划→PRD→评审→研发→测试→复盘），遵循 EARS 需求描述原则。Use when 撰写视频翻译/字幕/多平台分发类 SaaS 产品的 PRD，或组织此类产品的设计评审、研发跟进与上线验收。
跨平台视频内容产品的六阶段产品管理工作流（需求规划→PRD→评审→研发→测试→复盘），遵循 EARS 需求描述原则。Use when 撰写视频翻译/字幕/多平台分发类 SaaS 产品的 PRD，或组织此类产品的设计评审、研发跟进与上线验收。
As a process B 66/100 · Nearly there — weak spots: result and completion, when it triggers, progress reporting
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 · 0
✓ No critical or high findings
Files scanned: 3. 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 66/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 71 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1795 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
- +2Single-language instructions
- +3Description length 120: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 71 items
- +4Has examples (9 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.