BD guaikei-video2text
将视频转为文字与结构化文案的技能。当用户提出"视频转文字 / 视频提取文案 / 视频转稿 / 字幕提取 / 视频总结 / 视频内容分析 / 会议纪要 / 课程拆解 / 直播复盘 / 采访整理 / 短视频二创脚本 / 口播稿 / 小红书文案 / 抖音文案 / 公众号文案"等需求时使用。支持本地视频文件与抖音、小红书等平台视频链接，调用千问大模型自动转写并剔除语气词、口误与重复内容，并可通过自定义 Prompt 生成总结、改写、金句提取、分镜头、中英翻译等风格化文案。
将视频转为文字与结构化文案的技能。当用户提出"视频转文字 / 视频提取文案 / 视频转稿 / 字幕提取 / 视频总结 / 视频内容分析 / 会议纪要 / 课程拆解 / 直播复盘 / 采访整理 / 短视频二创脚本 / 口播稿 / 小红书文案 / 抖音文案 /…
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: 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 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, node) that frontmatter does not declare
- 100Steps. 36 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1309 tokens
- 100Running it twice. No mutating operations
- low 13 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
- -214 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 234: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 36 items
- +4Has examples (2 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.