SKILLEMALL.ai

AD guaikei-douyin-keyword-search-to-video-list

抖音公开数据智能获取工具。支持抖音关键词搜索、抖音博主作品抓取、抖音视频评论分析、抖音实时热榜查询。当用户需要搜抖音视频、查抖音热榜、看抖音评论、抓博主作品、做抖音竞品分析、短视频选题调研、舆情监控、热点追踪、爆款挖掘、抖音运营数据分析时使用。触发词:抖音搜索、抖音热榜、抖音评论、抖音作品、抖音竞品分析、抖音数据分析、短视频运营、抖音舆情监控、抖音热点。

ClawHub Agent Skills author: engheng-art v1.0.0 MIT-0 34 files body ≈ 955 tokens Open the sourceclawhub.ai analyzed 3 d ago

抖音公开数据智能获取工具。支持抖音关键词搜索、抖音博主作品抓取、抖音视频评论分析、抖音实时热榜查询。当用户需要搜抖音视频、查抖音热榜、看抖音评论、抓博主作品、做抖音竞品分析、短视频选题调研、舆情监控、热点追踪、爆款挖掘、抖音运营数据分析时使用。触发词:抖音搜索、抖音热榜、抖音评论、抖音作品、抖音竞品分析、抖音数据分析…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
49/100
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: 34. 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 49/100

  • 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
  • 40Consistency. Frontmatter name (guaikei-douyin-keyword-search-to-video-list) differs from the folder (guaikei-guaikei-douyin-keyword-search-to-video-list)
  • 100Tools and files. No external tools needed
  • 100Steps. 36 steps
  • 100Execution cost. Instruction body is 955 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
  • -219 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 178: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This skill is a coherent Douyin public-data retrieval tool, but it can collect and locally retain large sets of social-media comments, author data, and video metadata without a per-run save opt-in or retention controls.
LLM: suspicious (medium) · VirusTotal: · 22 Aug 2026