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AF douyin-learning-pipeline

抖音链接总控工作流（精简版）：自动区分"下载解析"和"文案提取"两类需求，并在需要时串联完成转写、智能修顺、结构拆解与后置仿写。Use when 用户发送抖音链接，要求"解析抖音""下载无水印""提取抖音文案""抖音转文字""提取口播稿""拆解这条视频""基于这条抖音做仿写"时触发。 固定主链：链接 → 转写 → 修顺 → 拆解 → 仿写。默认转写模型：TeleAI/TeleSpeechASR；默认纠错模型：cpa/gpt-5.4。 自包含特性：缺配置会问用户要；缺依赖会自动安装；可独立迁移到其他系统。

ClawHub Agent Skills author: AleeAI v1.0.0 MIT-0 80 files body ≈ 765 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: scripts/check_env.sh, scripts/download_douyin.sh, scripts/transcribe.sh

ProcedureInfrastructureSoftware developmentAI and agentstype 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
A
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
77
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/check_env.sh, scripts/download_douyin.sh, scripts/transcribe.sh
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Obfuscation obf-hex-escape-chain assets/douyin-downloader/README.zh-CN.md:4
    Escaped/char-code string obfuscation (quoted — discussed, not commanded)
    <img src="https://socialify.git.ci/jiji262/douyin-downloader/image?custom_description=…
    quoted

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/check_env.sh
  • warning missing-ref reference to a missing file: scripts/download_douyin.sh
  • warning missing-ref reference to a missing file: scripts/transcribe.sh
  • warning missing-ref reference to a missing file: assets/douyin-downloader/config.yml

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/check_env.sh, scripts/download_douyin.sh, scripts/transcribe.sh
  • 0Tools and files. 4 referenced file(s) missing: scripts/check_env.sh, scripts/download_douyin.sh, scripts/transcribe.sh
  • 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
  • 100Steps. 95 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 765 tokens
  • 100Running it twice. No mutating operations

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 4 example trigger phrases
  • +3Description length 254: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 95 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
This skill can do the Douyin download/transcription job it advertises, but it also handles live session cookies, installs or clones code, uses browser automation, and persists credentials in ways users should review first.
LLM: suspicious (high) · VirusTotal: · 29 May 2026