SKILLEMALL.ai
GitHub ↗ RU Sign in

BF douyin-video-downloader

抖音账号视频批量下载器 — 输入抖音号，自动拉取账号全部作品并解析无水印下载链接，支持批量一键下载到本地。适用场景：竞品账号内容拆解与逐帧学习、收藏喜欢的创作者全部作品避免被删、批量搬运素材二次剪辑创作、保存自己账号作品做本地备份防丢失、课程/教程类视频离线囤货反复看、甲方要求提供无水印源文件、达人合作前快速拉取对方作品做背调分析。触发词：抖音主页下载、抖音视频下载、抖音批量下载、抖音无水印下载、下载抖音作品、抖音账号视频提取、抖音视频保存、抖音去水印、抖音视频备份、竞品视频下载。

ClawHub Agent Skills author: RedFox v0.1.0 MIT-0 5 files body ≈ 1 731 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

抖音账号视频批量下载器 —…

As a process F 31/100 · Will not run — References files that are not bundled: ...

IntegrationAI 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
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: ...
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 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")
  • warning missing-ref reference to a missing file: ...

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: ...
  • 0Tools and files. 1 referenced file(s) missing: ...
  • 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 (douyin-video-downloader) differs from the folder (douyin-video-downloader-2)
  • 100Steps. 9 steps
  • 100Execution cost. Instruction body is 1731 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

  • +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
  • -216 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 243: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
The skill is a disclosed Douyin downloader that uses RedFox APIs and can save media locally, with no evidence of hidden or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 Jul 2026