BD A股实时热度排名TOP50
[Python版本] 获取A股股票实时热度排名TOP50。聚合问财、雪球、东方财富三大平台人气榜单。适用场景：用户询问A股热门股票、股票热度排名、股票人气排名、市场关注度排行、热门股票榜单、最受关注股票、实时股票排名、今日热门股。关键词：A股热度、股票热度排名、人气排名、热门股票、股票人气榜、关注度排行、热门股、人气股、热门榜单。
As a process D 42/100 · Unfinished process — weak spots: when it triggers, inputs and preconditions, failures and branches
ProcedureSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- 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-bloblib/hexin_v.js:1Long 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)+pdetector -
low Secrets in code
secret-high-entropy-tokenlib/hexin_v.js:1High-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)+pdetector
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "description_en"
Process rating: all ten parameters 42/100
- 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 (A股实时热度排名TOP50) differs from the folder (stock-heat-rank-py)
- 50Steps. 2 steps
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Execution cost. Instruction body is 577 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)
- +3No numbered steps or checklist
- +1No license
- +2Single-language instructions
- +3Description length 166: enough signal without eating the budget
- +4Structure: 9 headings
- +3Output format is stated explicitly
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: suspicious
This appears to fetch public A-share stock rankings, but it also runs a large opaque JavaScript browser-emulation helper that is not clearly disclosed.
LLM: suspicious (high) · VirusTotal: · 29 May 2026