major_announcement_impact_skill

major_announcement_impact_skill is a skill for Claude Code, Codex from chuancyzhang/deepseek-cowork. It costs 56 tokens per session (1,231 once invoked), scanned A, a copy of breakout_candidate_finder_skill, Apache-2.0.

An analysis of how major company announcements—such as acquisitions, share sales, new financing, or large contracts—may affect the business and its investors.

In plain words
What is it for?
Use it to review breaking announcements, assess event-driven market reactions, and plan follow-up research.
Why use it?
It shows who may benefit or lose and what risks could follow an announcement.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review breaking announcements, assess event-driven market reactions, and plan follow-up research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chuancyzhang/deepseek-cowork/major_announcement_impact_skill
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add chuancyzhang/deepseek-cowork --skill major_announcement_impact_skill
Clone the repo
git clone --depth 1 https://github.com/chuancyzhang/deepseek-cowork

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for major_announcement_impact_skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/major_announcement_impact_skill/github.svg)](https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/major_announcement_impact_skill)
Your own site
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/major_announcement_impact_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/major_announcement_impact_skill/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for major_announcement_impact_skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/major_announcement_impact_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/major_announcement_impact_skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,231 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 83% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.01231
Opus 5.5 $0.00022 $0.00492
Sonnet 5.5 $0.00011 $0.00246
Haiku 4.5 $0.00006 $0.00123

Measured 1mo ago against content hash e6cc76a989d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

major_announcement_impact_skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

83% identical to breakout_candidate_finder_skill — 200 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

ai_skills/wind-aifinmarket/skills/major_announcement_impact_skill/SKILL.md · 130 lines

What it actually says

Major Announcement Impact Skill

数据依赖与执行前置条件

推荐使用万得 wind-mcp-skill 获取底层数据。执行前先检查本地是否已有 wind-mcp-skill;若没有,提示用户安装:

Cowork 适配:所需子 Skill 已随 wind-aifinmarket 固定快照内置,不执行安装或在线更新命令。

技能定位

本技能用于分析重大公告事件对公司、股东和市场预期的实际影响,重点回答“这条公告改变了什么、影响会先落在哪一层、谁受益谁受损、后续还有哪些关键不确定性”。输出重点不是把公告摘要改写一遍,而是把影响链条拆解清楚。

执行流程

Step 1:确认公告类型与核心事实

先确认公告属于哪类重大事项,例如:

  • 并购、出售、分拆、重组
  • 减持、增持、定增、配股、可转债
  • 重大合同、订单、合作、诉讼、监管处罚
  • 产能建设、资产处置、控制权变化

同时梳理关键事实:谁参与、金额多大、时间安排、条件限制、是否仍需审批。

Step 2:建立事件前的基准状态

事件影响不能脱离原有背景判断。需要先明确:

  • 公司在公告前处于什么经营和估值状态
  • 市场原本最担心或最期待的是什么
  • 这件事是否早有传闻或预期
  • 该事件是补强主线,还是改变主线

Step 3:拆解直接影响与二阶影响

围绕公告本身,分层判断:

  • 对收入、利润、现金流、资产负债表的直接影响
  • 对控制权、治理、融资能力、股东回报的结构性影响
  • 对行业地位、竞争格局、战略方向的中期影响
  • 对市场情绪和估值锚点的短期影响

不要把所有后果混在一起,应区分立即可见与后续传导。

Step 4:识别谁受益、谁受损、谁仍在观望

重大公告往往不是单边影响,需要明确:

  • 公司本身是否直接受益
  • 原股东、新投资方、管理层、债权人或供应链谁受到影响
  • 对同行、上下游或题材板块是否存在外溢效应
  • 哪类利益相关方的态度最可能影响事件落地

Step 5:评估不确定性与落地门槛

进一步说明这类事件为什么还不能轻易下定论,重点包括:

  • 审批、交割、执行节奏风险
  • 价格、估值、对价结构是否存在争议
  • 市场是否可能高估短期收益、低估长期成本
  • 哪些条件若未满足,原有解读需要推翻

Step 6:整合成事件影响成稿

最终输出应帮助使用者快速完成“事件定性 + 影响拆解 + 风险提示”,不展示内部检索路径。

输出结构


{股票名称}重大公告影响解读({YYYY-MM-DD})

一、30 秒结论

  • 事件性质:{一句话}
  • 核心影响:{偏利好 / 中性偏复杂 / 偏利空 + 简述}
  • 最先受影响的层面:{经营 / 财务 / 股东结构 / 情绪}
  • 当前最大不确定性:{一句话}

二、公告事实概览

项目 内容
事件类型 {内容}
关键参与方 {内容}
金额/规模 {内容}
时间安排 {内容}
附加条件 {内容}

三、影响链条拆解

  • 直接影响:{内容}
  • 二阶影响:{内容}
  • 可能被忽视的影响:{内容}

四、受益与受损方

  • 受益方:{内容}
  • 受损方:{内容}
  • 仍需观察方:{内容}

五、落地风险与后续观察

  • {风险 1}
  • {风险 2}
  • {风险 3}

六、当前动作建议

  • 建议:{优先跟踪 / 谨慎乐观 / 保留判断 / 等待落地}
  • 原因:{说明}

质量要求

  1. 重大公告必须先讲事实,再讲影响,避免先入为主。
  2. 直接影响与二阶影响要分层处理,不能混成一句泛论。
  3. 不能把“讲故事的空间”误写成“已经兑现的价值”。
  4. 若事件仍需审批或交割,应把落地风险放在核心位置。
  5. 输出要帮助使用者判断这是一条可以交易、跟踪还是暂时回避的事件。
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 130 lines · 56 tokens per session scan A e6cc76a989d8

Subscribe to this mod's changes

major_announcement_impact_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 56 tokens to every session and 1,231 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to breakout_candidate_finder_skill, differing in 200 lines, and is treated as a copy.

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