SKILLEMALL.ai

AC etf-fund-query

ETF(交易型开放式指数基金)信息与行情查询。ETF 在证券交易所上市交易,通常通过券商股票账户买卖,盘中按交易价格成交,以6位证券代码识别(如510300)。 支持查询ETF基础信息、规模费率、持仓明细、历史分红、区间收益、资金流向、涨幅榜、热搜榜、按持仓股票反查相关ETF,以及最新价、盘中涨跌、成交、换手率、IOPV、溢折率和分钟走势。 适用于用户关注场内ETF基础信息、成交活跃度、主题ETF筛选、同类ETF比较和实时行情等场景。如果用户通过银行、基金公司或第三方基金销售平台申购赎回指数基金,应使用 open-fund-query;如果用户查询指数本身,应使用 index-query。

ClawHub Agent Skills author: e-fintech v1.0.4 MIT-0 9 files · 2 scripts body ≈ 2 159 tokens Open the sourceclawhub.ai analyzed 3 d ago

ETF(交易型开放式指数基金)信息与行情查询。ETF 在证券交易所上市交易,通常通过券商股票账户买卖,盘中按交易价格成交,以6位证券代码识别(如510300)。…

As a process C 55/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
C
55/100
Has gaps
Inputs and preconditions w 11
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 · 0

    ✓ No critical or high findings

    Files scanned: 9. 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 55/100

    • 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
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 82 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2159 tokens
    • 100Running it twice. No mutating operations
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 17 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 300: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 82 items
    • +3Output format is stated explicitly
    • +4Has examples (1 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: 94.

    External checks

    ClawHub: clean
    This ETF lookup skill is purpose-aligned and disclosed, though users should notice it stores an API key locally and appends a branded financial disclaimer to answers.
    LLM: benign (medium) · VirusTotal: · 8 Sept 2026