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BF china-hotdata

中国实时热点数据采集工具。当用户询问热搜、热榜、热点、排行榜、榜单、票房、收视率、音乐排行、歌曲排名、报纸、新闻头条、人民日报等话题时使用此技能。覆盖：抖音/微博/百度/B站/快手热搜，QQ音乐/网易云/酷狗/酷我音乐榜，猫眼电影票房/电视剧收视/综艺热度，App Store游戏/应用排行榜，人民日报电子版PDF及高清版面图。通过 Node.js 脚本实时获取数据，JSON 格式输出，无需 API Key，无需服务器。

ClawHub Agent Skills author: gfhe v1.0.0 MIT-0 8 files body ≈ 1 712 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 31/100 · Will not run — References files that are not bundled: image_url, url

IntegrationInfrastructuretype 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
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: image_url, url
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: 8. 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: image_url
  • warning missing-ref reference to a missing file: url

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: image_url, url
  • 0Tools and files. 2 referenced file(s) missing: image_url, url
  • 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 (china-hotdata) differs from the folder (web-hot-cn)
  • 100Steps. 25 steps
  • 100Execution cost. Instruction body is 1712 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)
  • +3Output format is not stated: the model decides each time
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 211: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (5 code blocks)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This skill coherently fetches public Chinese trend, ranking, entertainment, app, music, and newspaper data, with no evidence of credential use, persistence, or local data access.
LLM: benign (high) · VirusTotal: · 29 May 2026