AD douyin-transcribe-lz
抖音视频文案提取 / 本地音视频转文字 / 语音转文本。 当用户分享抖音链接（v.douyin.com、douyin.com、iesdouyin.com 等）并提出以下任一意图时，必须使用此技能： - 提取文案 / 提取文字 / 提取字幕 / 提取内容 / 提取文本 - 视频转文字 / 视频转文本 / 语音转录 / 音频转文字 - "这个视频说了什么" / "帮我看看这个视频讲什么" / "总结这个抖音视频" - 复制打开抖音的分享口令（含链接的整段分享文案） 当用户提供本地视频或音频文件并需要转文字时，也必须使用此技能： - 本地视频转文字 / 本地音频转文字 / 提取本地音视频文本 - "把这段录音转成文字" / "这个视频里说了什么" / "提取这个文件的语音内容" - 提取字幕 / 生成逐字稿 / 听写 / 语音识别 / 整理成文字 支持视频格式：MP4, AVI, MKV, MOV, WMV, FLV, WEBM, M4V, TS 支持音频格式：MP3, WAV, FLAC, M4A, OGG, AAC, WMA, OPUS 底层使用 Playwright 绕过抖音登录墙捕获视频，Whisper medium 模型本地转录中文，无需云端 API，全程本地化，隐私零风险。
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: 8. 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 "agent_created"
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 (python) that frontmatter does not declare
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2265 tokens
- 100Running it twice. No mutating operations
- low 11 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
- +1No license
- +2Single-language instructions
- +5Description quotes 6 example trigger phrases
- +3Description length 548: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 5 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.