SKILLEMALL.ai

AF cn-financial-deep-analysis

A股深度财务分析与研报生成Skill。融合8本财务经典方法论,基于宏观-中观-微观三层框架,支持200+财务指标分析、70+舞弊信号预警、7大行业专精对标。 Use when user asks to 财务分析、财报分析、财务报表分析、深度研报、公司研报、 行业报告、行业分析、行业对比、快速排雷、舞弊识别、财务造假、估值分析、 杜邦分析、可比公司、同业对比、DCF估值、选股筛选、投资价值评估、 帮我看看这家公司、分析一下财报、这个股票怎么样. 不适用于简单行情查询、技术面分析、K线图解读、美股/港股(本Skill专注A股).

ClawHub Agent Skills author: tuobadaidai v1.0.0 MIT-0 21 files body ≈ 1 350 tokens Open the sourceclawhub.ai analyzed 23 h ago

A股深度财务分析与研报生成Skill。融合8本财务经典方法论,基于宏观-中观-微观三层框架,支持200+财务指标分析、70+舞弊信号预警、7大行业专精对标。 Use when user asks to 财务分析、财报分析、财务报表分析、深度研报、公司研报、…

As a process F 35/100 · Will not run — References files that are not bundled: references/industries/, references/core/

AnalyzerSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/industries/, references/core/
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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: 1. 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 35/100

    Will not run. References files that are not bundled: references/industries/, references/core/
    • 0Tools and files. 2 referenced file(s) missing: references/industries/, references/core/
    • 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
    • 100Steps. 50 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1350 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 265: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 50 items
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This skill is a disclosed A-share financial analysis/reporting helper with optional local chart and Word export tools; the main risks are dependency hygiene and financial-output caution, not malicious behavior.
    LLM: benign (high) · VirusTotal: · 27 Jun 2026