everything-claude-code-zh is a Chinese translation of a collection of configurations for Claude Code and other AI coding agents. It provides agents, skills, hooks, commands, rules, and MCP configurations intended to support development workflows such as memory persistence, security scanning, evaluation, and research-first work. The catalogue includes commands, skills, agents, instructions, and a plugin from this configuration set.
Borrowing it
Nothing to install: this file belongs to xu-xiang/everything-claude-code-zh. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/xu-xiang/everything-claude-code-zh/main/.agents/skills/investor-materials/SKILL.mdgit clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zhWrote 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/xu-xiang/everything-claude-code-zh/investor-materials)<a href="https://agentmods.dev/skills/xu-xiang/everything-claude-code-zh/investor-materials"><img src="https://agentmods.dev/badge/skills/xu-xiang/everything-claude-code-zh/investor-materials/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/xu-xiang/everything-claude-code-zh/investor-materials"><img src="https://agentmods.dev/badge/skills/xu-xiang/everything-claude-code-zh/investor-materials.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 | $0.00081 | $0.00916 |
| Opus 5 | $0.00041 | $0.00458 |
| Sonnet 5 | $0.00016 | $0.00183 |
| Haiku 4.5 | $0.00008 | $0.00092 |
Grade A, and why
investor-materials 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 13d 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
投资者材料 (Investor Materials)
构建一致、可靠且易于辩护的面向投资者的材料。
何时激活 (When to Activate)
- 创建或修订路演 PPT (Pitch Deck)
- 撰写投资者备忘录 (Investor Memo) 或单页简介 (One-Pager)
- 构建财务模型 (Financial Model)、里程碑计划或资金用途表 (Use-of-funds Table)
- 回答加速器或孵化器的申请问题
- 围绕单一事实来源对齐多个融资文档
黄金法则 (Golden Rule)
所有投资者材料必须保持一致。
在撰写之前，建立或确认单一事实来源 (Source of Truth)：
- 牵引力指标 (Traction Metrics)
- 定价与营收假设
- 融资规模与工具 (Instrument)
- 资金用途 (Use of Funds)
- 团队简历与职位
- 里程碑与时间线 (Timelines)
如果出现数据冲突，请在起草前先予以解决。
核心工作流 (Core Workflow)
- 盘点权威事实 (Canonical Facts)
- 识别缺失的假设
- 选择资产类型
- 以明确的逻辑起草资产
- 根据单一事实来源交叉检查每个数据
资产指南 (Asset Guidance)
路演 PPT (Pitch Deck)
建议流程：
- 公司介绍 + 切入点 (Wedge)
- 问题 (Problem)
- 解决方案 (Solution)
- 产品 / 演示 (Demo)
- 市场 (Market)
- 商业模式 (Business Model)
- 牵引力 (Traction)
- 团队 (Team)
- 竞争 / 差异化 (Differentiation)
- 诉求 (Ask)
- 资金用途 / 里程碑
- 附录
如果用户想要 Web 原生演示文稿，请将此技能与 frontend-slides 结合使用。
单页简介 / 备忘录 (One-Pager / Memo)
- 用一句简洁的话说明公司业务
- 展示为什么是现在 (Why Now)
- 尽早展示牵引力和证明点
- 明确表达诉求
- 确保声明易于验证
财务模型 (Financial Model)
包括：
- 明确的假设
- 在有用时提供悲观 (Bear) / 基础 (Base) / 乐观 (Bull) 情况
- 清晰的层级式营收逻辑
- 与里程碑挂钩的支出
- 当决策取决于假设时的敏感性分析
加速器申请 (Accelerator Applications)
- 针对性回答所提出的问题
- 优先考虑牵引力、洞察力和团队优势
- 避免吹嘘
- 保持内部指标与路演 PPT 及模型的一致性
应避免的红线 (Red Flags)
- 无法验证的声明
- 缺乏假设的模糊市场规模
- 团队角色或职位不一致
- 营收计算逻辑不严密
- 在假设脆弱的地方表现出过度的确定性
质量门禁 (Quality Gate)
交付前确认：
- 每个数字都符合当前的单一事实来源
- 资金用途和营收层级计算正确
- 假设清晰可见，而非被掩埋
- 叙述清晰，无浮夸语言
- 最终资产能够在合伙人会议中站得住脚
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.
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.
- 13d ago First seen · 97 lines · 81 tokens per session scan A bcde2d7171ad
investor-materials is a skill published in the GitHub repository xu-xiang/everything-claude-code-zh (1,941 stars, last pushed 6mo ago), licensed MIT. It adds 81 tokens to every session and 916 once invoked, about $0.0004 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.
Other skills, from other repositories
investor-materials
Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.
dcf-model
Build discounted cash flow valuation workbooks in Excel.
comps-analysis
Build comparable-company valuation workbooks in Excel.
lbo-model
Build leveraged buyout workbooks with IRR/MOIC in Excel.
excel-author
Build auditable financial workbooks headless via openpyxl.
3-statement-model
Build integrated IS/BS/CF financial workbooks in Excel.