bull_bear_case_builder_skill

bull_bear_case_builder_skill is a skill for Claude Code, Codex from chuancyzhang/deepseek-cowork. It costs 61 tokens per session (1,456 once invoked), scanned A, original, Apache-2.0.

A guide for building both a positive and a negative investment case from evidence, key variables, and possible outcomes.

In plain words
What is it for?
It is for research debates, checking investment views, and comparing the strength of bullish and bearish arguments.
Why use it?
It helps reveal the main disagreement in an investment idea and reduces the risk of looking only for confirming evidence.

Skill for Claude CodeCodex

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

Good fit It is for research debates, checking investment views, and comparing the strength of bullish and bearish arguments.

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Install with agentmods
npx agentmods add skills/chuancyzhang/deepseek-cowork/bull_bear_case_builder_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 bull_bear_case_builder_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 bull_bear_case_builder_skill

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/bull_bear_case_builder_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/bull_bear_case_builder_skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,456 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 $0.00061 $0.01456
Opus 5.5 $0.00024 $0.00582
Sonnet 5.5 $0.00012 $0.00291
Haiku 4.5 $0.00006 $0.00146

Measured 1mo ago against content hash 652dfa8729a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

bull_bear_case_builder_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.

ai_skills/wind-aifinmarket/skills/bull_bear_case_builder_skill/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bull Bear Case Builder 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

本技能用于围绕一只股票的核心命题,系统构建看多与看空两套论证,并比较双方证据、假设、催化与脆弱点。输出重点不是“站队”,而是帮助使用者识别当前最值得争论的变量,压缩情绪化判断和确认偏误。

执行流程

Step 1:定义争论命题与讨论边界

先明确这次论证到底在回答什么问题,例如:

  • 这只股票未来 6-12 个月是否有超额收益机会
  • 当前股价是否高估或低估了某项业务变化
  • 近期上涨是趋势启动还是情绪透支

同时界定时间维度、讨论对象和可接受的证据范围,避免把长期逻辑与短期交易混在一起。

Step 2:收集双方共用的基础事实

先整理不带立场的基础信息,作为后续多空两边共同使用的底座,包括:

  • 公司业务与产业链位置
  • 最近的经营变化、公告、财务表现
  • 市场关注的核心变量
  • 当前估值和股价位置

这一阶段不急于下结论,重点是把双方都会引用的事实材料整理齐。

Step 3:搭建看多论证

围绕最强的上涨逻辑,建立一条完整链路:

  • 市场可能低估了什么
  • 哪个变量正在改善
  • 该改善为何有持续性
  • 一旦被验证,股价弹性从哪里来

看多论证应尽量具体到经营变量、事件节点和预期修正路径,而不是只写“行业空间大”“公司优秀”这类空泛表达。

Step 4:搭建看空论证

围绕最强的反方逻辑,建立对应链路:

  • 当前市场可能高估了什么
  • 哪些改善可能只是阶段性噪音
  • 哪些约束会阻碍逻辑兑现
  • 若不及预期,估值和情绪会如何反噬

看空论证不能沦为机械挑刺,而要聚焦真正会导致投资失败的关键变量。

Step 5:比较证据强弱与触发条件

把多空双方放到同一框架下比较,重点看:

  • 哪边的证据更直接、更可验证
  • 哪边更依赖未经证实的外推假设
  • 哪些事件会率先验证某一方
  • 哪些变量一旦反向,就会让整套叙事失效

必要时可区分“短期谁占优”和“长期谁占优”,避免强行给出单一时间维度的答案。

Step 6:形成结论与后续跟踪清单

最终给出:

  • 当前更占优的是哪一边,理由是什么
  • 这个结论的置信度有多高
  • 接下来最需要跟踪的验证点是什么

若双方证据仍接近,也应明确写出“暂不站队,等待验证”的条件,而不是假装已有清晰答案。

输出结构


{股票名称}多空论证({YYYY-MM-DD})

一、核心争论命题

{用 1-2 句话说明当前市场真正争论的问题}

二、双方共用事实底座

事实项 当前情况 与争论的关系
{事实1} {描述} {说明}
{事实2} {描述} {说明}
{事实3} {描述} {说明}

三、看多论证

  • 核心观点:{一句话}
  • 主要证据:{2-3 条}
  • 关键催化:{事件或变量}
  • 最脆弱假设:{一句话}

四、看空论证

  • 核心观点:{一句话}
  • 主要证据:{2-3 条}
  • 关键触发:{事件或变量}
  • 最脆弱假设:{一句话}

五、对照判断

维度 看多 看空 当前占优方
证据直接性 {描述} {描述} {多/空/接近}
可验证性 {描述} {描述} {多/空/接近}
时间敏感度 {描述} {描述} {多/空/接近}
赔率影响 {描述} {描述} {多/空/接近}

六、当前结论

  • 当前更占优的方向:{看多 / 看空 / 暂不站队}
  • 理由:{简述}
  • 置信度:{高 / 中 / 低}

七、接下来必须跟踪的验证点

  • {验证点 1}
  • {验证点 2}
  • {验证点 3}

质量要求

  1. 多空双方必须使用同一组事实底座,避免“双重标准”。
  2. 看多和看空都要写最强版本,而不是把反方写成稻草人。
  3. 结论必须落到具体变量与验证条件,不能只给模糊态度。
  4. 若某一方证据明显薄弱,应直接指出,不做表面平衡。
  5. 输出目标是帮助判断分歧,不是写成情绪化的站队文章。

Read the full file on GitHub · 148 lines

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 · 148 lines · 61 tokens per session scan A 652dfa8729a9

Subscribe to this mod's changes

bull_bear_case_builder_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 61 tokens to every session and 1,456 once invoked, about $0.0002 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 2026-08-30.

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