SKILLEMALL.ai

AD simulated-trading

全功能模拟交易系统。创建投资组合、下单买入卖出、撤单、撮合成交、管理行情数据、计算净值与组合绩效(收益率、波动率、夏普比率、最大回撤)。支持东方财富实时行情自动刷新。Use when user wants to simulate stock/fund trading, create paper trading portfolios, place/cancel orders, match orders, calculate NAV, analyze portfolio performance, or run backtesting scenarios. 触发场景:(1) 查看我的账户/持仓/组合 (2) 模拟买卖股票/ETF (3) 下单交易 (4) 查看净值收益 (5) 模拟炒股/模拟交易 (6) 投资组合管理 (7) 交易回测。

ClawHub Agent Skills author: StevenGE791 v1.0.3 MIT-0 10 files body ≈ 947 tokens Open the sourceclawhub.ai analyzed 30 h ago

全功能模拟交易系统。创建投资组合、下单买入卖出、撤单、撮合成交、管理行情数据、计算净值与组合绩效(收益率、波动率、夏普比率、最大回撤)。支持东方财富实时行情自动刷新。Use when user wants to simulate stock/fund trading, create paper trading…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
D
43/100
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

    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: 10. 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 43/100

    • 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
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 6 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 947 tokens

    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
    • -31 of 7 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 370: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 6 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: suspicious
    This is a coherent paper-trading skill, but it deserves review because it reads an API key from a shell profile, sends portfolio symbols to Eastmoney by default, and can hard-delete local simulation data without confirmation.
    LLM: suspicious (high) · 28 May 2026