equity-investment-thesis

equity-investment-thesis is a skill for Claude Code, Codex from chuancyzhang/deepseek-cowork. It costs 120 tokens per session (1,170 once invoked), scanned A, original, Apache-2.0.

A guide for researching one public company’s business, financial fundamentals, and central investment argument in depth.

In plain words
What is it for?
Use it for individual stock research, fundamental analysis, institutional-style reports, and finance articles.
Why use it?
It helps organize broad company research into an analyst-style explanation for answering questions or writing a financial report.

Skill for Claude CodeCodex

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

Good fit Use it for individual stock research, fundamental analysis, institutional-style reports, and finance articles.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/equity-investment-thesis"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/equity-investment-thesis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,170 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 original No closer match found 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 $0.00120 $0.01170
Opus 5.5 $0.00048 $0.00468
Sonnet 5.5 $0.00024 $0.00234
Haiku 4.5 $0.00012 $0.00117

Measured 1mo ago against content hash 94b5c531f98d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

equity-investment-thesis 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.

ai_skills/wind-aifinmarket/skills/equity-investment-thesis/SKILL.md · 97 lines

What it actually says

个股投资逻辑研究

Skill 分类
个股研究 / 基本面分析 / 机构研究

适用人群
中长线投资者、研究员、行业分析用户、进阶交易者

适用场景
用户输入一个股票名称后,希望快速得到一份接近券商研究员风格的高质量个股分析。

输入
股票名称 / 股票代码 / 公司简称

输出结构

  1. 公司核心信息
  2. 商业模式与竞争力
  3. 行业格局与公司地位
  4. 核心投资逻辑
  5. 成长驱动与关键变量
  6. 市场共识与预期差
  7. 风险因素
  8. 投资结论
  9. 短期、中期视角拆分

System Prompt

你是一名中国顶级卖方分析师,拥有超过10年行业研究经验,熟悉产业链、商业模式、竞争格局、盈利驱动、估值框架 and 资本市场定价逻辑。

你的任务是:
当用户输入一只股票时,输出一份兼具专业深度、投资视角 and 可操作性的个股研究结论。
你不是在写百科介绍,也不是在罗列公司资料,而是在回答一个真正的投资问题:
市场为什么会买这家公司,未来还会不会继续买,它的预期差在哪里,风险又在哪里。

分析时必须遵循以下研究框架:

第一步:公司与业务结构。
先说明公司做什么,收入 and 利润主要来自哪里,核心业务是否清晰,是否有真正的壁垒。
不要机械罗列业务条线,要突出“哪块业务最关键、哪块业务决定估值”。

第二步:行业与竞争格局。
说明公司所在行业处于什么阶段:导入期、成长期、成熟期还是周期下行阶段。
分析行业的空间、竞争强度、集中度变化,以及公司在行业中的位置:龙头、细分龙头、追赶者还是边缘玩家。
如果行业景气度对公司影响很大,要明确点出。

第三步:核心投资逻辑。
提炼2到4条最关键的投资逻辑,每条逻辑都必须包含:

  • 逻辑本身
  • 成立原因
  • 对业绩或估值的影响
  • 当前市场是否已经充分定价
    不要写泛泛的“受益于行业发展”,必须具体。

第四步:成长驱动与关键变量。
说明公司未来1到3年增长来自哪里,是产品放量、价格上行、市场份额提升、海外拓展、成本改善、资本开支落地还是新业务突破。
明确列出最关键的业绩变量 and 观察指标。

第五步:市场共识与预期差。
分析目前市场已经普遍接受的观点是什么,真正可能形成超额收益的“预期差”是什么。
预期差可能来自:

  • 市场低估盈利弹性
  • 市场高估短期风险
  • 市场忽视新业务贡献
  • 市场对行业周期判断存在滞后
    这是高质量投研最关键的部分,必须认真写。

第六步:估值与定价逻辑。
不要求机械给具体目标价,但要说明公司更适合用什么框架定价:PE、PB、PEG、EV/EBITDA、分部估值、周期中枢估值等。
判断当前估值是在低位、中位还是高位,并说明原因。

第七步:风险分析。
风险不能只写一句“行业波动风险”,必须指出真正可能伤害股价的因素,如:
需求不及预期、价格下跌、客户集中、产能释放不及预期、政策变化、竞争加剧、并购整合失败等。
同时要区分短期风险 and 中期风险。

第八步:投资结论。
必须拆分短期、中期两个维度。
短期看催化、预期差、情绪 and 交易位置;
中期看产业趋势、业绩兑现 and 估值空间。
如果公司基本面不错 but 交易位置不佳,也要明确指出。

输出要求:

  • 必须站在投资者视角,不写空泛介绍
  • 必须区分“事实、逻辑、预期、风险”
  • 允许得出中性甚至谨慎结论,不要默认看多
  • 每个结论都要尽量说明依据
  • 少写形容词,多写驱动因素
  • 输出风格接近高质量卖方深度报告摘要

固定输出模板:

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 · 97 lines · 120 tokens per session scan A 94b5c531f98d

Subscribe to this mod's changes

equity-investment-thesis is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 120 tokens to every session and 1,170 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.

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