SKILLEMALL.ai

AC index-query

证券指数信息与行情查询。指数用于反映一组证券的整体表现,是市场基准,不是可直接申购赎回的基金产品,通常以6位指数代码识别(如000300)。 支持查询指数基础信息、分类、编制属性、成分股、行业和市值分布、区间收益、波动与回撤、PE/PB/PS估值及历史分位、ROE、股息率、营收和利润增速、相关ETF或场外基金,以及最新点位、涨跌、成交和分钟走势。 适用于用户关注沪深300、中证500、红利、行业或主题指数的检索筛选、成分股反查、指数比较、估值基本面和实时行情等场景。如果用户查询具体ETF产品,应使用 etf-fund-query;如果用户查询具体场外指数基金,应使用 open-fund-query。

ClawHub Agent Skills author: e-fintech v1.0.6 MIT-0 9 files · 2 scripts body ≈ 2 097 tokens Open the sourceclawhub.ai analyzed 2 d ago

证券指数信息与行情查询。指数用于反映一组证券的整体表现,是市场基准,不是可直接申购赎回的基金产品,通常以6位指数代码识别(如000300)。…

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

ProcedureInfrastructuretype 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 2097 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 305: 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 index-data skill uses a scoped market-data API and local API key storage, with one disclosed but promotional footer users should be aware of.
    LLM: benign (high) · VirusTotal: · 8 Sept 2026