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BD weibo-hot-search

微博多频道热搜数据采集与可视化 | Weibo Multi-Channel Hot Search Data Collection & Visualization 支持热搜总榜、社会榜、文娱榜、生活榜同时抓取 | Supports hot search, social, entertainment, life channels 数据持久化存储，提供HTML可视化报告 | Data persistence with HTML visualization reports

ClawHub Agent Skills author: noah v1.0.0 MIT-0 10 files · 1 script body ≈ 1 726 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticsInfrastructuretype 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%
69
Run on models
none yet
Process rating
D
41/100
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Obfuscation obf-hex-escape-chain data/index.html:282
    Escaped/char-code string obfuscation (quoted — discussed, not commanded)
    const items = [{"channel_id": "entertainment", "channel_name": "文娱榜", "rank": 1, "title": "李宇春演唱会", "url": "//s.weibo.com/weibo?q=%E6%9D%8E%E5%AE%87%E6%98%A5%E6%BC%94%E5%94%B1%E4%BC%9A&t=152", "heat":
    quoted

Files scanned: 10. 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 41/100

  • 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 (weibo-hot-search) differs from the folder (weibo-trending)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 15 steps
  • 100Execution cost. Instruction body is 1726 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
  • -31 of 7 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 234: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This Weibo trend collector is mostly legitimate, but it needs review because unsafe command construction and local report rendering could expose users to avoidable risk.
LLM: suspicious (high) · VirusTotal: · 29 May 2026