dividend_change_explainer_skill

dividend_change_explainer_skill is a skill for Claude Code, Codex from chuancyzhang/deepseek-cowork. It costs 51 tokens per session (1,173 once invoked), scanned A, a copy of breakout_candidate_finder_skill, Apache-2.0.

A guide to explaining why a company raises, cuts, pauses, or resumes its dividend, which is the cash payment some companies make to shareholders.

In plain words
What is it for?
Use it to review dividend announcements, assess income-focused investments, and track long-term cash payments.
Why use it?
It helps distinguish a lasting change in the company’s cash payments from a temporary decision and assess what it means for investors.

Skill for Claude CodeCodex

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

Good fit Use it to review dividend announcements, assess income-focused investments, and track long-term cash payments.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/dividend_change_explainer_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/dividend_change_explainer_skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,173 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 80% 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 $0.00051 $0.01173
Opus 5.5 $0.00020 $0.00469
Sonnet 5.5 $0.00010 $0.00235
Haiku 4.5 $0.00005 $0.00117

Measured 1mo ago against content hash f88709b262bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dividend_change_explainer_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

80% 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/dividend_change_explainer_skill/SKILL.md · 126 lines

What it actually says

Dividend Change Explainer 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

本技能用于解读公司分红政策或分红水平发生变化时的真实含义,重点回答“这次增加、减少、暂停或恢复分红到底说明了什么、能持续多久、对不同类型投资者意味着什么”。输出重点不是只说明派息数字,而是解释其背后的经营与资本配置逻辑。

执行流程

Step 1:确认分红动作与基准状态

先确认这次变化属于哪类动作:

  • 提高分红
  • 削减分红
  • 暂停分红
  • 恢复分红
  • 特别分红

同时明确变化相对的是上一次分红、过去一年平均水平,还是长期分红政策基准。

Step 2:量化变化幅度与表面吸引力

把变化用可比较方式写清楚,重点包括:

  • 每股分红变化
  • 分红总额变化
  • 股息率变化
  • 派息率变化
  • 与历史分红水平和同业的相对位置

这一阶段先回答“变了多少”,但不急于等同于利好或利空。

Step 3:评估持续性与支付能力

真正有价值的解读要看公司是否“付得起、愿意继续付”。重点检查:

  • 利润和现金流是否足以支撑当前分红
  • 资产负债表、债务压力和资本开支需求是否允许
  • 分红是否建立在一次性收益之上
  • 管理层是否明确说明长期分红框架

Step 4:判断分红变化背后的意图

进一步分析这次变化可能反映的经营或资本配置信号,例如:

  • 现金流质量提升
  • 成长机会减少,开始回馈股东
  • 管理层希望稳定预期或修复信心
  • 经营压力上升,被迫保留现金
  • 为并购、扩产、偿债等事项腾挪资源

Step 5:翻译成投资含义

将分红变化放到不同投资风格下理解,至少回答:

  • 对收益型投资者是否更有吸引力
  • 对成长型投资者是否意味着机会成本变化
  • 对估值与风险偏好会产生何种影响
  • 哪些情况下高股息并不代表安全

Step 6:整合成分红解读成稿

最终输出应帮助使用者判断“这次分红变化是不是重要信号”,而不是仅停留在分红数额播报。

输出结构


{股票名称}分红变动解读({YYYY-MM-DD})

一、30 秒结论

  • 本次动作:{提高 / 削减 / 暂停 / 恢复 / 特别分红}
  • 核心含义:{一句话}
  • 持续性判断:{高 / 中 / 低}
  • 对投资者的意义:{一句话}

二、分红变化概览

项目 变化前 变化后 变化幅度 说明
每股分红 {内容} {内容} {内容} {说明}
股息率 {内容} {内容} {内容} {说明}
派息率 {内容} {内容} {内容} {说明}

三、持续性与支付能力

  • 支持因素:{内容}
  • 压力因素:{内容}
  • 当前判断:{内容}

四、这次变化可能在传递什么信号

  • {信号 1}
  • {信号 2}
  • {信号 3}

五、后续仍要关注

  • {跟踪项 1}
  • {跟踪项 2}
  • {跟踪项 3}

质量要求

  1. 不能把“分红增加”机械等同于利好,把“分红减少”机械等同于利空。
  2. 必须同时分析支付能力和管理层意图,缺一不可。
  3. 若分红变化受一次性事项影响,应单独标明,避免误判持续性。
  4. 对收益型与成长型投资者的含义可以不同,需明确区分。
  5. 输出应回答“这次分红变化值不值得重视”,而不是只报数字。
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 · 126 lines · 51 tokens per session scan A f88709b262bd

Subscribe to this mod's changes

dividend_change_explainer_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 1,173 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 80% identical to breakout_candidate_finder_skill, differing in 200 lines, and is treated as a copy.

Related

Other skills, from other repositories

sector-rotation

An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.

HKUDS/Vibe-Trading · 39 tokens

twitter-reader

Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…

himself65/finance-skills · 110 tokens

strategy-pivot-designer

Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.

tradermonty/claude-trading-skills · 28 tokens

energy-procurement

Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…

hashgraph-online/awesome-codex-plugins · 93 tokens

airdrop-hunting-guide

Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.

nirholas/three.ws · 54 tokens

recipe-daily-pnl-report

Generate a daily profit and loss summary from trades and balances.

krakenfx/kraken-cli · 19 tokens