SKILLEMALL.ai

AA mx-xuangu

Use this skill for Eastmoney MX condition-based stock screening and universe lookup when the user asks to find stocks, listed companies, sector constituents, index constituents, or recommendations based on market/valuation/financial/industry constraints such as PE, ROE, price, growth, volume, industry, board, or concept. Do not use for single-security quote or financial data (use mx-data), news/event research (use mx-search), watchlist actions (use mx-zixuan), or simulated trading operations (use mx-moni).

ClawHub Agent Skills author: LULI v1.0.0 MIT-0 5 files body ≈ 550 tokens Open the sourceclawhub.ai analyzed 18 h ago

Use this skill for Eastmoney MX condition-based stock screening and universe lookup when the user asks to find stocks, listed companies, sector constituents…

As a process A 87/100 · Runs to the end — weak spots: progress reporting

ProcedureFinanceSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
A
87/100
Runs to the end
Progress reporting w 2
0
Failures and branches w 10
50
Result and completion w 14
60
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 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 87/100

    • 0Progress reporting. Says nothing while it works
    • 50Failures and branches. 0 branches, has a failure section
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 23 steps
    • 100When it triggers. States when to use and when not to
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 550 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
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 511: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 23 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This skill is a coherent Eastmoney stock-screening helper that calls a documented market-data API and saves local result files, with minor disclosure and portability caveats.
    LLM: benign (high) · VirusTotal: · 27 Jul 2026