SKILLEMALL.ai

BC douyin-video-skills

抖音视频搜索、筛选、链接获取、文案提取与修正工具。支持在抖音网页中登录后搜索自定义关键词,按筛选参数从搜索结果中选择合适视频;点开候选视频后先校验当前弹层标题与目标搜索结果标题是否一致,若不一致则自动关闭弹层并继续尝试后续候选,再提取视频语音文案并输出原始稿、修正版、修正说明。适用场景包括抖音二次创作前的素材采集、竞品研究、视频文案提取与清洗。

ClawHub Agent Skills author: poca233 v1.0.0 MIT-0 8 files · 4 scripts body ≈ 1 417 tokens Open the sourceclawhub.ai↗ analyzed 8 d ago

抖音视频搜索、筛选、链接获取、文案提取与修正工具。支持在抖音网页中登录后搜索自定义关键词,按筛选参数从搜索结果中选择合适视频;点开候选视频后先校验当前弹层标题与目标搜索结果标题是否一致,若不一致则自动关闭弹层并继续尝试后续候选,再提取视频语音文案并输出原始稿、修正版、修正说明。适用场景包括抖音二次创作前的素材采集、竞…

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePlaywrightMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
51/100
Has gaps
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: 8. 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")

Process rating: all ten parameters 51/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 68 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1417 tokens

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 173: enough signal without eating the budget
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 68 items
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
The skill mostly matches its Douyin video and transcript purpose, but it needs Review because it handles login profiles, API keys, external audio upload, and broad unvalidated network downloads.
LLM: suspicious (high) · VirusTotal: benign · 16 Sept 2026