SKILLEMALL.ai

AC douyin-kol-crawler

抖音作品爬取工具,输入抖音URL或抖音ID,输出抖音账号基础信息和近期作品内容列表(最多10000条)。当用户提到"爬取抖音作品"、"抓取抖音KOL作品"、"抓取抖音博主作品"、"抖音作品列表"、"查看抖音视频"、"抖音内容采集"、"抓取抖音作品"时使用。支持四大能力:(1) 关键词搜索视频/图文,可按点赞数、发布时间、时长、内容类型筛选排序;(2) 实时热榜查询,获取抖音热搜词条与热度数据;(3) 博主作品抓取,按主页链接或 sec_uid 获取公开作品列表;(4) 视频评论分析,按视频链接或 aweme_id 获取评论内容与互动数据。

ClawHub Agent Skills author: why20261 v0.1.0 MIT-0 35 files body ≈ 1 124 tokens Open the sourceclawhub.ai analyzed 4 h ago

抖音作品爬取工具,输入抖音URL或抖音ID,输出抖音账号基础信息和近期作品内容列表(最多10000条)。当用户提到"爬取抖音作品"、"抓取抖音KOL作品"、"抓取抖音博主作品"、"抖音作品列表"、"查看抖音视频"、"抖音内容采集"、"抓取抖音作品"时使用。支持四大能力:(1)…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationMedia and videoAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
53/100
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: 35. 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 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 53 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1124 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
  • -221 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +3Description length 272: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 53 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: 80.

External checks

ClawHub: suspicious
The skill appears to perform the advertised Douyin data collection, but it can collect large datasets and automatically saves scraped results locally.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026