SKILLEMALL.ai
GitHub ↗ RU Sign in

BD lingxi-realtimemarketdata-skill

国泰海通证券-灵犀实时行情 skill：标的覆盖 A 股、港股、美股、ETF与指数；支持单只或多只标的的实时行情，数据维度包括最新价、涨跌幅、涨跌额、成交量、成交额、换手率、当日资金净流入、量比等。 当用户询问股价、涨跌幅、行情走势、资金流向或相关证券行情时，优先通过本 Skill 取数，若本 Skill 无有效数据，须再尝试 lingxi-smartstock-skill，仍无数据则按正文固定话术引导用户至国泰海通灵犀 APP。触发关键词包括：股价，涨跌幅，实时行情，查股价，查行情。

ClawHub Agent Skills author: gtht v1.0.2 MIT-0 5 files body ≈ 4 810 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

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
87/100
safety, quality, tests
Safety 60%
99
Quality 40%
69
Run on models
none yet
Process rating
D
49/100
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 Secrets in code secret-high-entropy-token skill-entry.js:4
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    `):null}function zs(e,t,r){let n=Jr(e,t,r),o=Qr(e,t,n);return o||JSON.stringify(n,null,2)}Vr.exports={resolveAuthConfigFile:At,saveApiKey:vs,getApiKey:Et,hasStoredApiKey:Ns,getJwtTokenFromApiKey:Ms,pa
    detector

Files scanned: 5. 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")
  • note frontmatter-key unknown frontmatter key "disable"

Process rating: all ten parameters 49/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 70Execution cost. Instruction body is 4810 tokens
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 129 steps
  • 100Consistency. Name and required fields are in place
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (20 tags): a typed call is more reliable

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
  • -231 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 245: enough signal without eating the budget
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 129 items
  • +4Has examples (15 code blocks)

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

External checks

ClawHub: clean
This skill is a disclosed authenticated market-data integration, but it should be installed only if the user trusts the publisher and is comfortable storing an API key locally.
LLM: benign (medium) · VirusTotal: · 29 May 2026