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BC A股实时热度排名

[Go语言版] 获取A股市场实时热度排名TOP50。聚合问财、雪球、东方财富三大平台人气榜单，计算复合热度分数。当用户需要查询A股热门股票、实时人气排名、市场关注度排行、涨停板热度分析时使用此技能。支持多平台热度对比，发现市场热点股票。

ClawHub Agent Skills author: n1e v1.0.3 MIT-0 6 files · 1 script body ≈ 1 473 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 60/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

ReferenceInfrastructuretype 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%
98
Quality 40%
66
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Obfuscation obf-base64-blob lib/hexin_v.js:1
    Long base64-looking blob (detector / deny-list definition)
    var a0_0x4f9ee0=a0_0x45b5;(function(_0x2d51df,_0xd5e931){var _0x1c64eb=a0_0x45b5,_0x581c52=_0x2d51df();while(!![]){try{var _0x276e77=-parseInt(_0x1c64eb(0x51e))/0x1*(-parseInt(_0x1c64eb(0xbd0))/0x2)+p
    detector
  • low Secrets in code secret-high-entropy-token lib/hexin_v.js:1
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    var a0_0x4f9ee0=a0_0x45b5;(function(_0x2d51df,_0xd5e931){var _0x1c64eb=a0_0x45b5,_0x581c52=_0x2d51df();while(!![]){try{var _0x276e77=-parseInt(_0x1c64eb(0x51e))/0x1*(-parseInt(_0x1c64eb(0xbd0))/0x2)+p
    detector

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "description_en"

Process rating: all ten parameters 60/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (A股实时热度排名) differs from the folder (stock-heat-rank)
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 12 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 1473 tokens
  • 100Running it twice. No mutating operations
  • low 10 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)
  • +3Description length 118: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 12 items
  • +3Output format is stated explicitly
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This stock-ranking skill mostly matches its purpose, but it relies on a large obfuscated JavaScript signer with browser anti-detection behavior that is not fully disclosed.
LLM: suspicious (high) · VirusTotal: · 29 May 2026