SKILLEMALL.ai

CD douyin-search-keyword

抖音公开数据只读工具箱,提供4个能力:①关键词搜索(可按点赞/最新排序、时间窗、时长、图文类型筛选)②博主主页作品抓取 ③视频/图文评论抓取 ④实时热榜。输出结构化 JSON(含作者、互动数据、标签、链接)。当用户需要搜抖音视频、抓博主作品、看抖音评论、查抖音热榜、做竞品/对标账号监控、短视频选题调研、评论舆情分析、热点追踪、爆款挖掘时使用。触发词:抖音搜索、抖音热榜、抖音评论、抖音作品、博主作品、对标账号、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、舆情监控、热点追踪、爆款挖掘、douyin search、douyin hot search、douyin comments。

ClawHub Agent Skills author: um-why v1.3.0 MIT-0 34 files · 21 scripts body ≈ 2 094 tokens Open the sourceclawhub.ai↗ analyzed 8 d ago

抖音公开数据只读工具箱,提供4个能力:①关键词搜索(可按点赞/最新排序、时间窗、时长、图文类型筛选)②博主主页作品抓取 ③视频/图文评论抓取 ④实时热榜。输出结构化…

As a process D 35/100 · Unfinished process — References files that are not bundled: assets/*_resp.schema.json

ProcedureAI and agentsData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: assets/*_resp.schema.json
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: 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")
  • warning missing-ref reference to a missing file: assets/*_resp.schema.json

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: assets/*_resp.schema.json
  • 0Tools and files. 1 referenced file(s) missing: assets/*_resp.schema.json
  • 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. 46 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2094 tokens
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill

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
  • -220 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 301: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 46 items
  • +4Has examples (2 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: 69.

External checks

ClawHub: suspicious
The skill mostly matches its Douyin public-data purpose, but it automatically stores large collected datasets locally by default without clear agent-facing consent or retention controls.
LLM: suspicious (high) · VirusTotal: · 13 Sept 2026