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Agent skill

Event Scenario Analyzer

by rongxinzy in rongxinzy/RongxinAI

事件驱动分析与情景敏感性工具。分析特定事件（业绩、政策、并购、监管等）对股价的潜在影响，并构建多情景定量分析. An agent skill from rongxinzy/RongxinAI.

AGPL-3.0Auto-check passedBackend & APIs

Install Event Scenario Analyzer

skills CLI
$ npx skills add rongxinzy/RongxinAI --skill event-scenario-analyzer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rongxinzy/RongxinAI event-scenario-analyzer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/event-scenario-analyzer .claude/skills/event-scenario-analyzer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
event-scenario-analyzer
GitHub stars
154
Used in
1 other repo
Token cost
~656 tokens
SKILL.md length
131 words
Files
1
Skills in repo
94
Repo updated
First seen
Licence
AGPL-3.0

At a glance

事件驱动分析与情景敏感性工具。分析特定事件（业绩、政策、并购、监管等）对股价的潜在影响，并构建多情景定量分析. An agent skill from rongxinzy/RongxinAI.

  • Works in 8 steps: ：事件识别与分类 → ：历史类比分析 → ：当前事件定量评估 → …
  • Tasks that involve Event-driven systems
  • SKILL.md covers 功能说明, 一、事件驱动分析, 二、情景敏感性分析 and 注意事项
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Event Scenario Analyzer is an agent skill from rongxinzy/RongxinAI. 事件驱动分析与情景敏感性工具。分析特定事件（业绩、政策、并购、监管等）对股价的潜在影响，并构建多情景定量分析。 触发词：事件分析、事件驱动、event driven、情景分析、scenario analysis、敏感性分析、sensitivity、催化事件影响、what if、如果...会怎样

Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering Event-driven systems. The repository describes itself as: An all-in-one local AI Agent workspace with a fully self-developed stack. The licence is AGPL-3.0.

When your agent uses it

  • Tasks that involve Event-driven systems

Example prompts

  • “/event-scenario-analyzer”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. ：事件识别与分类
  2. ：历史类比分析
  3. ：当前事件定量评估
  4. ：交易策略
  5. ：确定关键变量
  6. ：定义情景
  7. ：构建敏感性矩阵
  8. ：解读与决策含义

What it can do on your machine

Read from SKILL.md and the folder at commit 9c64865. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Event Scenario Analyzer loads about 656 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 131 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~656

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rongxinzy/RongxinAI at commit 9c64865, republished under its AGPL-3.0 licence (© rongxinzy). 131 words, ~656 tokens.

Download SKILL.mdSave it as .claude/skills/event-scenario-analyzer/SKILL.md (or your agent's skills folder).
name
event-scenario-analyzer
description
事件驱动分析与情景敏感性工具。分析特定事件（业绩、政策、并购、监管等）对股价的潜在影响，并构建多情景定量分析。 触发词：事件分析、事件驱动、event driven、情景分析、scenario analysis、敏感性分析、sensitivity、催化事件影响、what if、如果...会怎样

事件与情景分析（Event & Scenario Analyzer）

功能说明

提供两大核心能力：

  1. 事件驱动分析：评估特定事件（如业绩发布、政策变动、并购交易、监管行动等）对标的股价和基本面的潜在影响
  2. 情景敏感性分析：构建多情景假设矩阵，量化不同情景下的估值影响

一、事件驱动分析

工作流
Phase 1：事件识别与分类
事件类型示例典型影响时间
盈利事件财报发布、盈利预警、指引调整1-5 交易日
公司行动并购、分拆、回购、增发、管理层变动1-20 交易日
监管事件政策发布、审批决定、反垄断裁定即时-数月
行业事件竞争对手动向、技术突破、供需变化数周-数月
宏观事件利率决议、贸易政策、地缘冲突即时-数月
Phase 2：历史类比分析
  1. 找到 3-5 个历史上类似事件的先例
  2. 分析每个先例：
    • 股价反应幅度和持续时间
    • 基本面实际影响
    • 市场预期 vs 实际结果
  3. 归纳历史规律和偏差范围
Phase 3：当前事件定量评估
  1. 前置条件：事件发生前市场已经定价了什么？
  2. 核心变量：事件将改变哪些关键财务指标？
  3. 影响路径：
    • 短期（交易日层面）：情绪/仓位调整
    • 中期（季度层面）：估计修正/倍数重估
    • 长期（年度层面）：基本面结构性改变
  4. 概率评估：事件各种结果的概率分布
Phase 4：交易策略
  1. 事前建仓策略（赌事件方向）
  2. 事后反应策略（等事件落地再行动）
  3. 对冲策略（利用期权等工具限定风险）
  4. 不行动的成本（错过机会的代价）

二、情景敏感性分析

工作流
Phase 1：确定关键变量
  1. 识别对估值影响最大的 2-4 个变量
  2. 典型变量组合：
    • 收入增速 × 利润率
    • 销量 × 单价
    • 市场份额 × 行业增速
    • WACC × 终值增长率
    • 政策情景 × 执行力度
Phase 2：定义情景

对每个关键变量设定：

  • 乐观值（牛市情景）
  • 基本值（最可能情景）
  • 悲观值（熊市情景）
  • 极端值（压力测试，可选）

每个值须有数据或逻辑支撑，不是随意拍数。

Phase 3：构建敏感性矩阵
  1. 单变量敏感性：固定其他变量，逐一改变
  2. 双变量敏感性：两个最关键变量交叉
  3. 情景组合：命名情景（牛/基/熊）下的全变量组合
  4. 蒙特卡洛模拟（如适用）：概率分布下的估值分布
Phase 4：解读与决策含义
  1. 哪些变量对估值最敏感？（弹性排序）
  2. 当前价格隐含了什么假设？
  3. 盈亏平衡点在哪里？（什么假设下股票不赚钱）
  4. 概率加权期望值是多少？
  5. 风险回报比如何？
输出格式
事件影响评估卡
事件: [事件描述]
日期: [确定日期/预期窗口]
类型: [盈利/公司行动/监管/行业/宏观]

┌────────────────────────────────────────────┐
│ 情景        | 概率  | 股价影响  | 基本面影响  │
│------------|-------|---------|------------|│
│ 超预期     | XX%   | +XX%    | [描述]     │
│ 符合预期   | XX%   | +/-X%   | [描述]     │
│ 不及预期   | XX%   | -XX%    | [描述]     │
│ 概率加权   |       | +/-X%   |            │
└────────────────────────────────────────────┘

历史类比:
• [先例1]: 股价反应 +/-XX%，持续 X 天
• [先例2]: ...

交易建议: [事前/事后/对冲/观望]
双变量敏感性表
目标价敏感性 (¥)
              收入增速
利润率    | 10%   | 15%   | 20%   | 25%   | 30%
----------|-------|-------|-------|-------|------
18%       | ¥XX   | ¥XX   | ¥XX   | ¥XX   | ¥XX
20%       | ¥XX   | ¥XX   | [基本] | ¥XX   | ¥XX
22%       | ¥XX   | ¥XX   | ¥XX   | ¥XX   | ¥XX
24%       | ¥XX   | ¥XX   | ¥XX   | ¥XX   | ¥XX

当前股价: ¥XX (隐含假设: 收入增速 ~XX%, 利润率 ~XX%)
盈亏平衡: 收入增速 >XX% 且利润率 >XX%

注意事项

  • 事件分析的核心是"市场预期差"——不是事件本身好坏，而是相对预期的超预期/不及预期
  • 历史类比要谨慎使用，每次事件的背景不同，不能简单套用
  • 敏感性分析的变量选择比计算本身重要——选错变量，精确的计算也没意义
  • 概率评估必须诚实：不确定就给宽区间，不要伪装精确
  • 极端情景不是"不可能"——标注为低概率但高影响
  • 所有数据标注来源和截至日期

© rongxinzy, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/event-scenario-analyzer of rongxinzy/RongxinAI.

Open the folder on GitHubat commit 9c64865

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in rongxinzy/RongxinAI, which our catalogue first saw on October 7, 2026.

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Categories

Questions about Event Scenario Analyzer

What does Event Scenario Analyzer do?

事件驱动分析与情景敏感性工具。分析特定事件（业绩、政策、并购、监管等）对股价的潜在影响，并构建多情景定量分析. An agent skill from rongxinzy/RongxinAI. Event Scenario Analyzer is an agent skill from rongxinzy/RongxinAI.

When should I use Event Scenario Analyzer?

Event Scenario Analyzer fits situations like: tasks that involve Event-driven systems.

How do I install Event Scenario Analyzer in Claude Code?

Run `npx skills add rongxinzy/RongxinAI --skill event-scenario-analyzer -a claude-code`. Or copy the skill folder (SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/event-scenario-analyzer in rongxinzy/RongxinAI) into .claude/skills/event-scenario-analyzer in your project. Claude Code loads it when a task matches its description.

How do I install Event Scenario Analyzer in Codex?

Run `npx skills add rongxinzy/RongxinAI --skill event-scenario-analyzer -a codex`. Or copy the skill folder (SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/event-scenario-analyzer in rongxinzy/RongxinAI) into .agents/skills/event-scenario-analyzer in your project. Codex loads it when a task matches its description.

Can I use Event Scenario Analyzer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rongxinzy/RongxinAI --skill event-scenario-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/event-scenario-analyzer, .gemini/skills/event-scenario-analyzer, .github/skills/event-scenario-analyzer and .opencode/skills/event-scenario-analyzer in your project.

What does Event Scenario Analyzer need to run?

SKILL.md names no scripts, command-line tools or credentials: Event Scenario Analyzer is instructions for the agent only.

Does Event Scenario Analyzer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Event Scenario Analyzer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Event Scenario Analyzer use?

Event Scenario Analyzer is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Event Scenario Analyzer use?

About 656 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Event Scenario Analyzer?

Skills that share tags, products or a category with Event Scenario Analyzer: Stripe Projects (fossasia/eventyay, 1.7k stars), MQTTX CLI (emqx/MQTTX, 5.1k stars), AWS Serverless Eda (zxkane/aws-skills, 367 stars) and Windmill Trigger Type Checklist (windmill-labs/windmill, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Event Scenario Analyzer?

rongxinzy (a GitHub organization) maintains it in rongxinzy/RongxinAI, which has 154 GitHub stars. The repository holds 94 skills in this directory. The repository was last updated on October 10, 2026.

Source: rongxinzy/RongxinAI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.