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BC douyin-hot-trend

抖音热榜获取技能 | Douyin Hot List Fetcher 获取抖音热榜/热搜榜数据 | Get Douyin hot list/trending data 包含热门视频、挑战赛、音乐等多领域热门内容 | Includes popular videos, challenges, music and more 输出标题、热度值与跳转链接 | Output titles, heat values and links

ClawHub Agent Skills author: noah v1.0.5 MIT-0 12 files body ≈ 506 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

As a process C 50/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureInfrastructureMedia and videotype 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%
99
Quality 40%
70
Run on models
none yet
Process rating
C
50/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Obfuscation obf-hex-escape-chain data/index.html:176
    Escaped/char-code string obfuscation (quoted — discussed, not commanded)
    const items = [{"rank": 1, "title": "315曝光名单", "popularity": 11221146, "link": "https://www.douyin.com/search/315%E6%9B%9D%E5%85%89%E5%90%8D%E5%8D%95", "label": "", "date": "2026-03-15"}, {"rank": 2,
    quoted

Files scanned: 12. 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 50/100

  • 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-hot-trend) differs from the folder (douyin-hot)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 16 steps
  • 100Execution cost. Instruction body is 506 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)
  • -216 emoji in the instructions: noise for the model
  • -36 of 7 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 212: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 16 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

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

External checks

ClawHub: suspicious
The Douyin trend fetcher works as advertised, but bundled helper scripts add under-documented local database storage and HTML report generation that users should review before installing.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026