SKILLEMALL.ai

BC a-share-analysis

A股全面分析工具,支持实时行情、技术分析、基本面分析、情绪分析,生成美观的Markdown分析报告。Use when user asks for: A股股票分析、市场行情查询、技术指标分析、财务数据获取、投资建议、龙虎榜数据、北向资金流向、综合投资报告等A股相关分析需求。

ClawHub Agent Skills author: czf0718 v1.0.0 MIT-0 37 files body ≈ 2 205 tokens Open the sourceclawhub.ai analyzed 2 d ago

A股全面分析工具,支持实时行情、技术分析、基本面分析、情绪分析,生成美观的Markdown分析报告。Use when user asks for: A股股票分析、市场行情查询、技术指标分析、财务数据获取、投资建议、龙虎榜数据、北向资金流向、综合投资报告等A股相关分析需求。

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: A股全面分析工具,支持实时行情、技术分析、基本面分析、情绪分析,生成美观的Markdown分析报告。Use when user as… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 53/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 100Tools and files. No external tools needed
    • 100Steps. 71 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2205 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -213 emoji in the instructions: noise for the model
    • -312 of 15 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 136: enough signal without eating the budget
    • +4Structure: 40 headings
    • +3Step-by-step instructions: 71 items
    • +4Has examples (15 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

    External checks

    ClawHub: suspicious
    This A-share stock analysis skill is not clearly malicious, but it needs Review because it produces actionable investment recommendations while writing persistent agent memory and report files from insufficiently constrained inputs.
    LLM: suspicious (high) · VirusTotal: · 11 Sept 2026