SKILLEMALL.ai

AC xueqiu-combo-report

End-to-end workflow for Xueqiu self-selected combo analysis from scraped or self-selected combo holdings batches through final ranking and PDF export. Use when the user wants one complete skill covering: (1) collecting Xueqiu self-selected combo holdings in batches from a logged-in browser session, (2) merging and patching those combo results, (3) ranking all stocks by how many combos hold them, and (4) generating JSON, Markdown, HTML, and PDF summary files. 雪球自选组合端到端分析技能,适用于:在已登录雪球浏览器会话中分批抓取自选组合持仓、合并和修补批次结果、按股票被多少组合持有进行统计排序,并生成 JSON、Markdown、HTML、PDF 汇总文件。

ClawHub Agent Skills author: ning-kun v1.0.2 MIT-0 6 files body ≈ 1 187 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerPDFData and analyticsInfrastructureWriting and documentstype 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
C
55/100
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: 6. 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

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 33 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1187 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 563: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 33 items
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 2 scripts are documented

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

    External checks

    ClawHub: clean
    This skill is a coherent Xueqiu holdings reporting workflow, with disclosed logged-in browser collection and local report generation risks users should understand.
    LLM: benign (high) · VirusTotal: · 29 May 2026