SKILLEMALL.ai

AD 股票价值投资分析 (valuation-analysis)

A股和港股价值投资分析系统。基于《股市真规则》方法论,提供完整的投资分析框架:护城河分析、财务健康检查、DCF估值、管理层评估、行业分析、投资决策整合。Use when user needs to (1) analyze stock investment value comprehensively, (2) evaluate economic moat and competitive advantage, (3) assess financial health and accounting quality, (4) calculate intrinsic value using DCF model, (5) evaluate management quality, (6) analyze industry structure and dynamics, or (7) make integrated investment decisions.

ClawHub Agent Skills author: Frankski818 v1.0.0 MIT-0 16 files body ≈ 3 061 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerFinanceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
D
49/100
Unfinished process
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: 16. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 49/100

    • 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
    • 40Consistency. Frontmatter name (股票价值投资分析 (valuation-analysis)) differs from the folder (valuation-analysis)
    • 100Tools and files. No external tools needed
    • 100Steps. 99 steps
    • 100Execution cost. Instruction body is 3061 tokens
    • 100Running it twice. No mutating operations
    • low 23 top-level sections: this looks like several domains in one skill

    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
    • -32 of 6 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 426: enough signal without eating the budget
    • +4Structure: 56 headings
    • +3Step-by-step instructions: 99 items
    • +4Has examples (24 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This is a coherent stock valuation skill with disclosed public market-data fetching and a small local watchlist, but users should treat its investment outputs and dependencies cautiously.
    LLM: benign (high) · VirusTotal: benign · 28 May 2026