.claude/skills/stock-analysisRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
基于5位公众号股票投资大V(猫笔刀、格兰投研、投资明见、财躺平、终身黑白)200+篇文章蒸馏形成的风格画像,通过 AI Agent 实现风格化投资分析,支持单大V复盘、多V并行对比、板块漏斗筛选、短线选股、组合复盘、财报点评、观点跟踪等多模式。当用户请求股票复盘、大V风格分析、多V对比、板块分析、短线选股、组合复盘、财报点评时使用。触发词:股票复盘、大V分析、模拟大V、风格化复盘、多V对比、每日复盘、板块分析、选股、组合复盘、财报点评、大V观点。
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/stock-analysisRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/stock-analysisRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/stock-analysisRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @yuanyi-github/stock-analysisclawhub inspect @yuanyi-github/stock-analysis --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
os.system(This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:84479a832ed3cfa2c749640b676efd621725109de6e26e4ca301e8c938b5098fassets/article_template.mdprofiles/投资明见_profile.jsonprofiles/格兰投研_profile.jsonprofiles/猫笔刀_profile.jsonprofiles/终身黑白_profile.jsonprofiles/财躺平_profile.jsonREADME.en.mdREADME.mdreferences/质量准出标准.mdscripts/analyze.pyscripts/common.pyscripts/earnings.pyscripts/fetch_market_data.pyscripts/portfolio.pyscripts/quality_audit.pyscripts/stock_screen.pyscripts/sync_articles.pyscripts/validate_profile.pyskill-card.mdSKILL.mdInitial release providing multi-style, AI-driven stock analysis based on distilled profiles of 5 investment influencers. - Supports individual and multi-influencer (大V) stock analysis, daily market recap, sector (板块) filtering, short-term stock screening, portfolio review, earnings commentary, and opinion tracking. - Real-time market data collection required; AI is prohibited from fabricating trading figures or trends. - Each influencer profile distilled from 200+ articles, structured in six dimensions, and used for style-based output. - API Key authentication needed for syncing influencer articles and usage tracking. - Output enforces strict data sourcing, multi-layer quality auditing, and compliance rules. - CLI and natural language triggers provided for flexible analysis. All results are AI-style simulations and not investment advice.