BD guaikei-extract-video-text
把视频变成文字并产出可直接使用的文案。当用户发来视频链接（抖音、小红书等）或本地视频文件，提出视频转文字、视频提取文案、视频转稿、字幕提取、语音转写、视频总结等需求时使用。云端大模型转写并自动剔除语气词、口误与重复内容，支持用自定义 Prompt 生成总结、改写、金句提取、分镜头、中英翻译等风格化内容。
把视频变成文字并产出可直接使用的文案。当用户发来视频链接（抖音、小红书等）或本地视频文件，提出视频转文字、视频提取文案、视频转稿、字幕提取、语音转写、视频总结等需求时使用。云端大模型转写并自动剔除语气词、口误与重复内容，支持用自定义 Prompt 生成总结、改写、金句提取、分镜头、中英翻译等风格化内容。
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
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: 17. 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 41/100
- 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 (guaikei-extract-video-text) differs from the folder (video2text-ai-1-0-1)
- 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
- 100Steps. 25 steps
- 100Execution cost. Instruction body is 1452 tokens
- 100Running it twice. No mutating operations
- low 12 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
- +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
- +2Single-language instructions
- +3Description length 152: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (1 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.