SKILLEMALL.ai

AC xiaoshi-financial-data-platform

通过邮箱验证码安全连接小石公开金融数据,并完成 A股、港股、美股、行情、历史数据、PIT 宏观、新闻事件、财务、因子、回测与量化研究。Use for Xiaoshi account login or onboarding, market and financial-data queries, FRED/ALFRED-style vintages, reports, factors, backtests, and API-driven research. Do not use for trade execution or investment orders.

ClawHub Agent Skills author: 小石谈 AI 技 v1.0.0 MIT-0 7 files body ≈ 483 tokens Open the sourceclawhub.ai analyzed 2 d ago

通过邮箱验证码安全连接小石公开金融数据,并完成 A股、港股、美股、行情、历史数据、PIT 宏观、新闻事件、财务、因子、回测与量化研究。Use for Xiaoshi account login or onboarding, market and financial-data queries…

As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

IntegrationData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
62/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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: 7. 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 62/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 22 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 483 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
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 281: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 22 items
    • +4Reference files are cited in the instructions (4 of 4)
    • +1License stated

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

    External checks

    ClawHub: clean
    This skill is a disclosed Xiaoshi financial-data connector that uses user-confirmed email login and a protected API key to query market and research data, without trade execution or unrelated local access.
    LLM: benign (high) · VirusTotal: · 27 Aug 2026