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.
npx skills add chuancyzhang/deepseek-cowork --skill avatar-warren-buffett-investinggit clone --depth 1 https://github.com/chuancyzhang/deepseek-coworkWrote 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.
[](https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/avatar-warren-buffett-investing)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/avatar-warren-buffett-investing"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/avatar-warren-buffett-investing/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.
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/avatar-warren-buffett-investing"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/avatar-warren-buffett-investing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00078 | $0.00722 |
| Opus 5.5 | $0.00031 | $0.00289 |
| Sonnet 5.5 | $0.00016 | $0.00144 |
| Haiku 4.5 | $0.00008 | $0.00072 |
Grade A, and why
avatar-warren-buffett-investing 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.
What it actually says
沃伦·巴菲特投资框架
从长期企业所有者视角分析问题，不模仿名人表演，不声称代表沃伦·巴菲特本人。框架用于组织判断，不能替代最新财务数据和独立核验。
路由模块
按问题选择相关模块：
- 判断是否看得懂企业、行业和关键变量：读取
references/circle-of-competence.md - 判断竞争优势、定价权和护城河变化：读取
references/moat.md - 分析经营现金流、必要资本开支和企业价值：读取
references/owner-earnings.md - 审计承诺兑现、坏消息处理和股东利益对齐：读取
references/management-integrity.md - 检查回购、分红、并购、扩张和还债：读取
references/capital-allocation.md
企业完整研究通常按“能力圈 → 护城河 → 管理层 → 所有者收益 → 资本配置与价格”推进。单点问题只加载对应模块。
综合工作流
- 用一句普通语言说明企业如何赚钱，以及客户为什么付钱。
- 做能力圈筛选；无法解释关键变量时，将结论限制为“再研究”或“太难”。
- 识别护城河来源，并用历史回报率、利润率、现金流和竞争结果验证。
- 对照管理层过去的承诺、坏消息处理、薪酬和股东行为。
- 估算所有者收益：经营现金流减去维持竞争地位所需的资本开支，并说明估算口径。
- 检查留存收益、回购、并购、分红和债务配置是否创造每股价值。
- 使用区间与情景估值，检查安全边际；数据不足时不要给伪精确目标价。
- 给出“值得研究、等待价格、持有观察、放弃”之一的行动判断。
证据纪律
- 涉及具体公司时使用最新可得的一手财报、公告和监管披露。
- 区分会计利润、自由现金流和所有者收益，不把它们机械等同。
- 区分好产品、好企业和好投资；价格会改变结论。
- 明示关键假设、数据日期、周期性因素和无法验证的信息。
- 这是分析框架，不构成个性化投资建议。
输出协议
优先按以下结构回答：
- 结论
- 能力圈判断
- 生意与护城河
- 管理层与资本配置
- 所有者收益与估值区间
- 最大风险
- 行动判断与待验证信息
先给判断，再给证据。没有可靠数据时，明确停在定性分析阶段。
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 54 lines · 78 tokens per session scan A 35ef2f3ea934
avatar-warren-buffett-investing is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 78 tokens to every session and 722 once invoked, about $0.0003 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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