BD short-video-content-replicator
当用户想要**一键复制抖音或B站短视频内容**、**把短视频转成带标点的高质量文字**、**提取视频干声和转录文本**、**端到端处理短视频内容**时自动触发。 这是一个复合工作流技能：输入抖音/B站视频URL或本地视频目录，按严格6步顺序执行全流程（或从指定步骤断点续跑）。 步骤包括：1. 下载视频（link-resolver-engine）；2. 提取MP3；3. 提取干声；4. Whisper转录；5. 文本纠错；6. 标点恢复。 支持自定义输出目录、从任意步骤开始。 常见触发口语： - “帮我复制这个抖音视频的内容” - “把这个B站短视频转成文字” - “一键提取这个视频的干声和转录” - “短视频内容复制工作流” - “把视频做成文本稿” - “抖音视频转文字带标点” - “端到端处理这个短视频” - “从下载到文本一键搞定这个视频” - “replicate 这个视频链接” 只处理短视频内容复制全流程或子流程，其他无关任务不触发。
As a process D 46/100 · 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: 4. 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 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 (bash, python) that frontmatter does not declare
- 100Steps. 15 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 568 tokens
- 100Running it twice. No mutating operations
- low 10 top-level sections: this looks like several domains in one skill
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 9 example trigger phrases
- +3Description length 430: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 15 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.