Put-spread Backtest reference method. Use when studying this focused method, not to run an API request. External API-key access for its legacy endpoints is not published in this release.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Separate reported claims from impact inferences, with related assets and next checkpoints. Use when the user asks to news impact with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Separate reported claims from impact inferences, with related assets and next checkpoints.
Release preview: the matching backend has not been verified in production. Do not claim this structured workflow is live; unsupported servers must fail closed. Retained legacy runner commands remain compatible.
Read access and evidence rules. Python 3.9+ is the only runtime dependency; no separate CLI or sibling Skill installation is required. Resolve <skill-dir> to the directory containing this file.
Read references/news-impact.md. First list published news with research --collection news --view news --lang en --limit 5 (or zh), then select the returned slug and revision. Replace the angle-bracket placeholders before running; never execute them literally. Separate reported claims, editorial inferences and verification gaps. This is not independent verification of an arbitrary web claim. The news-impact.v1 backend must be deployed; report unavailable without inventing an answer when unsupported. Read references/editorial-routing.md before selecting the next command. Check the returned workflow, language and published revision. A type mismatch needs the declared workflow, not a retry; a changed revision must be re-read. Never silently switch to paid analysis.
python3 "<skill-dir>/scripts/run.py" news --slug <published-news-slug> --revision <published-revision> --lang en
This command reads published data without a key or analysis-credit charge. No paid research is triggered.
Use AlphaGBM to analyze a published news item: related assets, reported claims, impact inferences and questions to verify. Discover it with research --collection news --view news; check its workflow, language and revision. Do not send reports to news impact; re-read changed revisions first.
中文:帮我调用 AlphaGBM,分析一条已发布新闻涉及哪些标的,区分事实、影响推断和待验证的问题。先用 research --collection news --view news 查找,核对条目的 workflow、语言和 revision;研报不当作新闻调用,版本变化先重新读取。
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Put-spread Backtest reference method. Use when studying this focused method, not to run an API request. External API-key access for its legacy endpoints is not published in this release.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Supply-chain Bottlenecks reference method. Use when studying this focused method, not to run an API request. External API-key access for its legacy endpoints is not published in this release.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build a contribution schedule and calculate a supplied price-path cost basis without predicting returns. Use when the user asks to dollar-cost averaging with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Score Hong Kong and China A-share dividend candidates across yield quality, durability, cash flow, valuation and momentum. Use when the user asks to dividend strategy with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Earnings IV Crush reference method. Use when studying this focused method, not to run an API request. External API-key access for its legacy endpoints is not published in this release.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Score ETF trend, risk, liquidity, cost and available tracking and theme signals while preserving data gaps. Use when the user asks to etf strategy with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.