Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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.
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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
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.
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.
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
Collect the following data from Naver Finance main page:
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)
Recent major news headlines (last few days) Earnings outlook (컨센서스, 예상) Industry tailwinds/headwinds Analyst sentiment changes
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.
Follow these steps EXACTLY in order:
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 ).
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)
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)
FinalScore = (FinancialScore × 0.50) + (NewsScore × 0.25) + (ChartScore × 0.25)
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)
... (similar structure) ... ValuationScore: 25 (PER 150, PBR 8.5 - extremely overvalued) ProfitabilityScore: 20 (ROE 2%, margin negative) ... Verdict: AVOID ...
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.
Detailed evaluation criteria and examples: references/framework.md
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
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.
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.