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china-stock-research-orchestrator中国股票研究协调员

Agent Skill

china-stock-research-orchestrator 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

906

周安装

37

GitHub Stars

3

下载量

293
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:china-stock-research-orchestrator(中国股票研究协调员)
来源仓库:https://github.com/spikehongg/china-stock-research-skills
仓库路径:skills/china-stock-research-orchestrator
安装命令:
npx skills add https://github.com/spikehongg/china-stock-research-skills --skill china-stock-research-orchestrator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/spikehongg/china-stock-research-skills --skill china-stock-research-orchestrator

简介

china-stock-research-orchestrator 路由 A 股公司至正确研究流程。

  • 严格区分事实、解释与开放问题,要求带源链接。
  • 默认输出简体中文,引导使用专用模块。
  • 需确认是否允许访问上市公司披露信息。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

China Stock Research Orchestrator

Route an A-share company through the right research workflow before doing deep analysis.

Non-Negotiable Rules

  • Preserve strict separation between Facts, Interpretation, and Open Questions.
  • Require every key fact and number to carry an accessible source link.
  • Prefer official disclosures, regulators, and public official portals over media and commentary.
  • Use this skill to orchestrate the workflow, not to replace the six core modules.
  • Default every intermediate and final output to Simplified Chinese unless the user explicitly requests another language.

Read First

  • skills/shared/references/source-registry.md
  • skills/shared/references/citation-standard.md
  • skills/shared/references/company-disclosure-map.md
  • skills/shared/references/research-output-template.md
  • skills/shared/references/analysis-pattern-selector.md
  • skills/shared/references/language-output-standard.md
  • skills/china-stock-research-orchestrator/references/routing-matrix.md
  • skills/china-stock-research-orchestrator/references/sector-overlay-escalation-rules.md
  • skills/china-stock-research-orchestrator/references/final-output-contract.md

Required Inputs

  • Company name and ticker if available
  • Research objective or key question
  • As-of date if the user cares about a specific cutoff
  • Optional hints about industry, business model, or suspected issues

When to Use

  • Start a fresh A-share stock deep-dive.
  • Turn a vague request like "analyze this stock" into a structured workflow.
  • Decide which of the six core modules are necessary before going deep.
  • Merge module outputs into one consistent research framework.

Workflow

  1. Identify the company's primary and secondary analysis patterns with skills/shared/references/analysis-pattern-selector.md.
  2. Use skills/china-stock-research-orchestrator/references/routing-matrix.md to decide which core modules are mandatory, optional, or skippable.
  3. Decide whether a sector overlay is needed using skills/china-stock-research-orchestrator/references/sector-overlay-escalation-rules.md.
  4. Run the selected modules in the right order, usually strategy -> business -> financial -> industry -> risk -> valuation.
  5. Require each module to return mergeable 事实, 解读, and 待验证问题 blocks in Simplified Chinese.
  6. Merge the outputs using skills/china-stock-research-orchestrator/references/final-output-contract.md.

Required Output

  • 公司概览与路由决策: what patterns the company matches and why
  • 已选模块: which core skills are required and why
  • 已选 overlays: which optional overlays are loaded and why
  • 研究框架: merged 事实, 解读, 待验证问题, 监测指标, and 情景与估值钩子
  • 来源附录: the source set used and any evidence limitations

Core Modules Available

  • strategy-business-transition
  • business-decomposition-order-quality
  • financial-health
  • industry-competition-moat
  • risk-warning-catalysts
  • valuation-investment-strategy

Boundaries

  • Do not directly replace deep analysis inside the six core skills.
  • Do not invent a pattern match if evidence is weak; mark uncertainty in Open Questions.
  • Do not produce unsupported target prices or thesis conclusions.
  • Do not merge module outputs into a single-layer narrative; keep evidence layering intact.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.53%
按下载量换算107

Claude

28.84%
按下载量换算85

Cursor

17.76%
按下载量换算52

Gemini CLI

9.12%
按下载量换算27

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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