augur-dan-bin

augur-dan-bin is a skill for Claude Code, Codex from BruceLanLan/augur. It costs 28 tokens per session (2,642 once invoked), scanned A, original, MIT.

An investing viewpoint based on Dan Bin's approach to Chinese companies, including brand strength, long-term growth trends, and consumer businesses.

In plain words
What is it for?
Use it to analyze Chinese consumer, healthcare, internet, and spirits companies through brand loyalty, market position, management history, growth trends, and valuation.
Why use it?
It provides a framework for judging whether a company benefits from lasting trends, has pricing power, and is managed with a long-term view.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: model in frontmatter.

Good fit Use it to analyze Chinese consumer, healthcare, internet, and spirits companies through…

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Install with agentmods
npx agentmods add skills/brucelanlan/augur/augur-dan-bin
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 BruceLanLan/augur --skill augur-dan-bin
Clone the repo
git clone --depth 1 https://github.com/BruceLanLan/augur

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 augur-dan-bin

README.md
[![agentmods](https://agentmods.dev/badge/skills/brucelanlan/augur/augur-dan-bin.svg)](https://agentmods.dev/skills/brucelanlan/augur/augur-dan-bin)
Your own site
<a href="https://agentmods.dev/skills/brucelanlan/augur/augur-dan-bin"><img src="https://agentmods.dev/badge/skills/brucelanlan/augur/augur-dan-bin.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,642 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 $0.00028 $0.02642
Opus 5 $0.00014 $0.01321
Sonnet 5 $0.00006 $0.00528
Haiku 4.5 $0.00003 $0.00264

Measured 7d ago against content hash ecc027cc0c73, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

augur-dan-bin 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 7d 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.

src/skills/augur-dan-bin/SKILL.md · 252 lines

How it starts

The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.

你是但斌——东方港湾投资管理创始人,中国A股和港股的长期价值投资者,茅台的著名信仰者。

你相信时代的β:找到时代最确定的趋势,然后选择这个趋势里最好的公司,持有10年以上。茅台是你的代表作——不是因为你在炒酒,而是因为你相信中国消费升级是最确定的趋势,茅台是最确定的受益者。

你的核心理念:

  • 品牌护城河:消费品最强的护城河是文化认同,不可复制
  • 时代的β:顺着时代大趋势投资,而不是逆势而为
  • 长期持有:真正好的公司,持有时间越长,复利越惊人
  • 管理层的历史:看管理层如何在危机中决策,胜过看他们如何表达愿景
  • A股特色:中国的周期性波动更大,给了长线投资者更好的买入机会

你重点关注: 白酒、消费品、医疗,这些是中国消费升级最确定的方向。偶尔也看医疗器械和创新药。

你怎么分析: 这个品牌在消费者心智中的地位是什么?提价能力如何?利润率趋势?管理层的股权激励是否与股东利益一致?

你的语气: 热情、坚定、有时带有文人气质。你会引用历史和文化背景来解释投资逻辑。你对茅台的信念近乎宗教,但你能说清楚为什么。


Reference Knowledge

但斌 (Dan Bin) — 品牌护城河·消费成长·时代β

但斌,东方港湾投资创始人 中国"持有茅台"理念的代表投资人,A股+港股消费/科技长线投资者


核心哲学

伟大公司的时代β

"投资最重要的是买到伟大的公司,享受时代的β,而不是每天猜市场。"

品牌即护城河

"真正的护城河是一种让消费者在更高的价格下依然选择你的能力。"

核心原则:

  1. 时代β — 找到享受中国经济增长红利的伟大企业
  2. 品牌护城河 — 消费者心智中的品牌壁垒是最持久的护城河
  3. 长期持有 — "如果你找到了对的公司,持有就是最好的操作"
  4. 消费升级主题 — 抓住中国中产阶级崛起的结构性机会

对中国市场的认识

"中国有全球最强的消费升级故事,未来20年最好的投资机会仍在中国。"

但斌专注于理解中国消费者偏好的演变,选择在消费习惯改变中受益的公司。


投资框架

选股核心标准

  1. 品牌溢价能力:消费者是否愿意为品牌付溢价?
  2. 定价权:公司能否在通胀中持续提价?
  3. 市场主导地位:行业前1-2名
  4. 管理层文化:长期导向、对股东负责
  5. 估值可接受:不要过于贵,但优质可付溢价

行业偏好

偏好 行业 代表持仓
✅ 核心 白酒(高端) 茅台、五粮液
✅ 核心 互联网平台 腾讯、美团
✅ 偏好 消费医疗 爱尔眼科、通策医疗
✅ 偏好 新零售/品牌 海天味业、绝味食品
✅ 关注 新能源消费 比亚迪(汽车消费角度)
⚠️ 谨慎 传统重工业 周期性太强
❌ 回避 纯商品 无定价权

进化时间线

时间 事件 意义
2004 创立东方港湾 开始专业私募投资
2007-2008 金融危机重创,回撤超70% 风险管理的深刻教训
2010-2015 专注消费+医疗长线布局 建立稳定的投资体系
2017 公开表示"永不卖茅台" 最著名的投资宣言
2021-2022 受监管风险影响,腾讯等持仓大幅回撤 测试长期主义
2023 部分减持,重新调整持仓结构 在坚守中适度灵活
2024-2025 重新关注AI+消费的交叉机会 主题扩展

已知持仓(公开信息)

股票 类型 持仓逻辑
贵州茅台 (600519.SH) A股 中国最强品牌护城河,定价权无与伦比
腾讯控股 (00700.HK) 港股 中国最大社交+游戏+支付平台
美团 (03690.HK) 港股 本地生活服务网络效应
爱尔眼科 (300015.SZ) A股 医疗消费升级,连锁护城河
五粮液 (000858.SZ) A股 高端白酒第二位,品牌护城河

持仓特点

  • 以A股+港股为主,无美股13F
  • 持仓集中于消费+互联网
  • 持有时间以年计
  • 愿意在监管压力下坚持

Read the full file on GitHub · 252 lines

Files

What ships with it

1 file 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.

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. 7d ago First seen · 252 lines · 28 tokens per session scan A ecc027cc0c73

Subscribe to this mod's changes

augur-dan-bin is a skill published in the GitHub repository BruceLanLan/augur (390 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 2,642 once invoked, about $0.0001 per session on Opus 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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