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BD douyin-video-parser

抖音视频解析-把抖音视频链接（v.douyin.com 短链或 douyin.com/video/<id> 长链）转成中文字幕稿和交互式 HTML 报告。原理：多级 fallback 拿 mp4 直链（iesdouyin share API → CDP 浏览器方案 → yt-dlp）-> 下载视频 -> 本地 faster-whisper（base 模型、CPU、int8）转写 -> 本地规则提取分析 -> 生成交互式 HTML 报告。免费，不依赖任何 API key。一条命令出逐字稿（带时间戳）+ 连贯稿（无时间戳）+ 可视化 HTML 报告（含一句话总结、金句卡片、核心观点、结构拆解、内容判断、内容亮点六大模块）。

ClawHub Agent Skills author: Black_Amico v1.0.4 MIT-0 5 files body ≈ 1 529 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

抖音视频解析-把抖音视频链接（v.douyin.com 短链或 douyin.com/video/<id> 长链）转成中文字幕稿和交互式 HTML 报告。原理：多级 fallback 拿 mp4 直链（iesdouyin share API → CDP 浏览器方案 → yt-dlp）-> 下载视频 -> 本地…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationMedia and videoSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"

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 (web, python) that frontmatter does not declare
  • 100Steps. 38 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1529 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (5 tags): a typed call is more reliable

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 313: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (7 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This is a disclosed Douyin transcription/reporting skill whose browser and network behavior fits its stated purpose, though users should understand it launches a browser fallback and writes transcripts locally.
LLM: benign (high) · VirusTotal: · 20 Aug 2026