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BF hot-topic-tracker

【2026增强版】自动抓取抖音/小红书/知乎/B站/微博热点榜单，使用当前可用最强模型进行智能分析，生成选题库并保存到腾讯文档。支持多模态热点识别、趋势预测、竞品对比。当用户说"今天有什么热点"、"生成选题库"、"抓取热点榜单"、"帮我看看最近什么火"、"分析热门趋势"、"热点选题"时触发此技能。

ClawHub Agent Skills author: nh5gntnf78-oss v1.0.1 MIT-0 3 files body ≈ 1 558 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: scripts/analyze_hot_topics.py

ProcedureInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/analyze_hot_topics.py
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: 3. 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: scripts/analyze_hot_topics.py

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/analyze_hot_topics.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/analyze_hot_topics.py
  • 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. 106 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1558 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
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 149: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 106 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This skill is mostly coherent for trend research, but it can use logged-in browser sessions and automatically save outputs to Tencent Docs from broad trigger phrases.
LLM: suspicious (medium) · VirusTotal: · 7 Jul 2026