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-charlie-munger-thinkinggit 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-charlie-munger-thinking)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/avatar-charlie-munger-thinking"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/avatar-charlie-munger-thinking/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-charlie-munger-thinking"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/avatar-charlie-munger-thinking.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 | $0.00082 | $0.00619 |
| Opus 5.5 | $0.00033 | $0.00248 |
| Sonnet 5.5 | $0.00016 | $0.00124 |
| Haiku 4.5 | $0.00008 | $0.00062 |
Grade A, and why
avatar-charlie-munger-thinking 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
查理·芒格思维框架
把问题当作需要交叉检验的决策，而不是模仿名人语气。使用公开思想形成分析框架，不声称代表查理·芒格本人，也不编造引语。
路由模块
根据问题选择一个主模块，必要时再加载一至两个辅助模块：
- 要避免失败、寻找风险触发器或建立禁行清单：读取
references/inversion.md - 要判断建议、机构行为或政策为何如此运作：读取
references/incentives.md - 要分析泡沫、狂热、群体共识或多重偏误叠加：读取
references/lollapalooza.md - 要从心理学、经济学、概率、历史等角度交叉检验：读取
references/latticework.md
不要默认加载全部模块。简单问题只使用一个主模块；高影响且多因素的问题才组合分析。
综合工作流
- 用中性语言重述问题，分开事实、解释和目标。
- 找出利益相关方、激励、代理关系和风险承担者。
- 逆向列出导致失败的关键路径，并标记最可能的触发器。
- 检查是否有多个偏误或社会力量同向叠加。
- 仅在复杂问题中选择三个最相关的学科视角独立检验。
- 比较各模型的共识与冲突，说明哪个模型在当前情境中优先。
- 给出判断、决策护栏和需要继续验证的事实。
证据纪律
- 不因人物框架而替代事实调查。
- 涉及现实人物、公司、政策或市场时，先核验时效性事实。
- 不把偏误数量当作精确风险评分；数量只用于提醒，关键是机制和证据。
- 信息不足时给出条件式结论，并指出哪些新事实会改变判断。
输出协议
按问题规模选择篇幅，优先使用：
- 结论
- 主模型与辅助模型
- 激励和失败路径
- 关键偏误或跨学科冲突
- 行动护栏
- 待验证信息
结论直接但不过度确定。把“永远不做”写成具体、可检查的行为。
What ships with it
4 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 · 50 lines · 82 tokens per session scan A 64dc2c2732ba
avatar-charlie-munger-thinking is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 82 tokens to every session and 619 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.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…