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Equity Analyst

전문 투자 분석가 AI로, 한국 주식 종목의 재무제표, 뉴스, 차트를 분석하여 Investment Attractiveness Score (0-100)와 BUY/HOLD/AVOID 추천을 제공합니다. 네이버 금융 데이터를 사용하며, 프롬프트에 명시된 엄격한 우선순위(Financial > News > Chart)와 가중치를 따릅니다.

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High Signal

전문 투자 분석가 AI로, 한국 주식 종목의 재무제표, 뉴스, 차트를 분석하여 Investment Attractiveness Score (0-100)와 BUY/HOLD/AVOID 추천을 제공합니다. 네이버 금융 데이터를 사용하며, 프롬프트에 명시된 엄격한 우선순위(Financial > News > Chart)와 가중치를 따릅니다.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
data.json, data_utf8.json, references/framework.md, scripts/analyze.py, scripts/daily_popular_report.py, scripts/morning_report.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.7

Documentation

ClawHub primary doc Primary doc: SKILL.md 20 sections Open source page

Equity Analyst Skill

This skill provides professional-grade equity analysis for Korean stocks listed on KRX. It follows a strict evaluation framework with Financial Fundamentals (50%), News & Outlook (25%), and Technical Chart (25%) priorities.

When to Use This Skill

User requests stock analysis with specific ticker or company name (e.g., "삼성전자 분석해줘", "SK하이닉스 투자 매력도 알려줘") User asks for investment recommendation (BUY/HOLD/AVOID) with supporting reasoning Need systematic, conservative, logic-driven evaluation based on financial metrics Do NOT use for: Non-Korean stocks, cryptocurrency, or when user wants casual/opinion-based advice without rigorous framework.

Quick Start

Identify the stock ticker (e.g., 005930 for 삼성전자, 000660 for SK하이닉스) Use browser tool to navigate to Naver Finance page: https://finance.naver.com/item/main.naver?code={ticker} Extract required data (see Data Requirements below) Apply evaluation framework (see Framework section) Generate structured report in specified format

Data Requirements

Collect the following data from Naver Finance main page:

Financial Metrics

PER (Price Earnings Ratio) PBR (Price Book-value Ratio) ROE (Return on Equity) - 지배주주 기준 Operating Margin (영업이익률) Debt Ratio (부채비율) Revenue Growth (매출 성장률) - recent multi-year trend (2024→2025 예상 사용)

News & Outlook (summary)

Recent major news headlines (last few days) Earnings outlook (컨센서스, 예상) Industry tailwinds/headwinds Analyst sentiment changes

Technical/Chart Conditions (summary)

Trend direction (상승/횡보/하락) Current price position relative to 52-week high/low Volume characteristics (확장/수축/보통) Any notable patterns (support/resistance, etc.) Note: Bollinger Band and other complex indicators are NOT required. Keep chart description simple: trend + current state.

Evaluation Framework

Follow these steps EXACTLY in order:

STEP 1: FINANCIAL SCORE (50%)

Score each sub-category 0-100: A. Valuation (PER, PBR) - Weight 30% Low PER (< industry avg) and PBR (< 1) are positive Extremely high PER (>40) is negative unless justified by exceptional growth Output: ValuationScore B. Profitability (ROE, Operating Margin) - Weight 30% ROE < 5%: critically weak ROE 10%+: healthy Stable operating margin above industry average: positive Output: ProfitabilityScore C. Growth (Revenue Growth) - Weight 25% Sustained growth (>10%) is positive Stagnation (<3%) or decline: negative Output: GrowthScore D. Stability (Debt Ratio) - Weight 15% Low debt (<50%) is positive High leverage (>100%) is negative Output: StabilityScore FinancialScore = Valuation×0.30 + Profitability×0.30 + Growth×0.25 + Stability×0.15 Special Rule: If BOTH ProfitabilityScore AND GrowthScore are below 30, cap FinancialScore at maximum 50 ( regardless of other scores ).

STEP 2: NEWS & OUTLOOK SCORE (25%)

Evaluate qualitative factors: Earnings outlook strength Product/service momentum Analyst sentiment direction Industry tailwinds vs headwinds Rules: Strong positive catalysts (new contracts, regulatory approval, market expansion) raise score Neutral or "wait-and-see" tone: 40-55 Hype without financial backing: MUST NOT score high (max 60) Negative catalysts ( lawsuits, customer loss, industry downturn) lower score Output: NewsScore (0-100)

STEP 3: TECHNICAL / CHART SCORE (25%)

Evaluate timing and market behavior: Trend direction (up/sideways/down) Volume expansion/contraction Signs of accumulation or distribution Current price position (near support/resistance) Rules: Charts determine TIMING, not value Strong fundamentals + weak charts = still low chart score Technicals must NEVER override poor fundamentals Focus on whether now is a good entry/exit timing based on chart alone Output: ChartScore (0-100)

FINAL SCORE

FinalScore = (FinancialScore × 0.50) + (NewsScore × 0.25) + (ChartScore × 0.25)

Verdict Categories

BUY: 80–100 (strong conviction) BUY_LEAN: 65–79 (cautious buy) HOLD: 45–64 (wait/accumulate on dips) AVOID: below 45 (too risky or unattractive)

Output Format

  • Return EXACTLY this structure:
  • 1. Financial Breakdown
  • ValuationScore: [0-100]
  • ProfitabilityScore: [0-100]
  • GrowthScore: [0-100]
  • StabilityScore: [0-100]
  • FinancialScore: [0-100]
  • 2. NewsScore: [0-100]
  • 3. ChartScore: [0-100]
  • 4. Final Investment Attractiveness Score: XX / 100
  • 5. Verdict: [BUY|BUY_LEAN|HOLD|AVOID]
  • 6. Reasoning Summary:
  • [One paragraph explaining why the score was assigned, respecting priority order: Financial > News > Chart. Be conservative, logic-driven. Do NOT give investment advice.]

Example 1: SK하이닉스 (from real data)

  • 1. Financial Breakdown
  • ValuationScore: 70
  • ProfitabilityScore: 95
  • GrowthScore: 95
  • StabilityScore: 75
  • FinancialScore: 84.5
  • 2. NewsScore: 70
  • 3. ChartScore: 55
  • 4. Final Investment Attractiveness Score: 73.5 / 100
  • 5. Verdict: BUY_LEAN
  • 6. Reasoning Summary:
  • SK하이닉스는 재무제표가 매우 강력합니다. ROE 43.20%, 영업이익률 46.67%, 43.7%의 매출 성장률은 업계 최상위 수준이며, PER 17.11배는 상대적으로 저평가되어 있습니다. 부채비율 64.12%는 반도체 업체로서 적정범위 내에 있습니다. 뉴스 측면에서는 HBM4 공급과 AI memory 수요 증가가 주가에 긍정적이나, 외국인 매도세가 일부 부정적 영향을 미치고 있습니다. 기술적 측면에서는 장기 상승추세는 유지되고 있으나, 단기적으로 조정 국면에 있어 매수 타이밍에 신중을 기할 필요가 있습니다. 재무적 우수성과 성장성에도 불구, 단기 차트의 불확실성으로 인해 "buy with caution" 상태로 평가됩니다.

Example 2: Weak Fundamentals

... (similar structure) ... ValuationScore: 25 (PER 150, PBR 8.5 - extremely overvalued) ProfitabilityScore: 20 (ROE 2%, margin negative) ... Verdict: AVOID ...

Scripts

The skill includes these scripts: scripts/analyze.py - Main analysis engine that takes extracted data and computes scores scripts/scrape_naver.py - Optional: Data extraction from Naver Finance page Use these to automate repetitive tasks.

References

Detailed evaluation criteria and examples: references/framework.md

Notes

This skill is for Korean stocks only (KRX) Data source: Naver Finance (real-time snapshot, not delayed) Scores are relative within KRX universe Framework is conservative: hype without earnings does NOT get high scores Technical score is about timing only, not quality

Troubleshooting

Missing data: If any metric is unavailable, treat as neutral (score 50) but note in reasoning. Conflicting signals: Follow priority order: Financial > News > Chart. Low financial score can NOT be compensated by good news or chart. Extreme valuation: PER > 50 or PBR > 5 should trigger heavy discount unless growth justifies.

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Scripts2 Config1 Docs
  • references/framework.md Docs
  • scripts/analyze.py Scripts
  • scripts/daily_popular_report.py Scripts
  • scripts/morning_report.py Scripts
  • data_utf8.json Config
  • data.json Config