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AD vbrokers-trader

VBrokers (华盛通 VCL HK) trading automation via OpenAPI Gateway running on localhost port 11111. Use when: setting up VBrokers or 华盛通 account access, authenticating trading sessions, checking portfolio or positions or funds, placing or cancelling orders for US, HK or A stocks, fetching real-time quotes or K-lines, building automated trading bots, or implementing stop-loss and take-profit logic. Handles AES-ECB password encryption, sessionType for pre/post-market trading, mktTmType for time-segment quotes, and all major trade/quote endpoints.

ClawHub Agent Skills author: lcy360 v1.0.0 4 files body ≈ 824 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, failures and branches

IntegrationInfrastructureSecuritytype 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
A
95/100
safety, quality, tests
Safety 60%
99
Quality 40%
89
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 references/api-reference.md:24
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      params: {"password": "<AES-…ord>"}
      quoted

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 49/100

    • 0Result and completion. Does not say what the result is
    • 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 (vbrokers-trader) differs from the folder (vbrokers-trading)
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 4 steps
    • 100Execution cost. Instruction body is 824 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
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +3Description length 544: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 4 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: suspicious
    This skill is a coherent VBrokers trading helper, but it gives an agent live brokerage trading and cancellation abilities without clear confirmation or safety limits.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026