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 phanghonghao/THU-Awesome-Skills --skill fincomp-deckgit clone --depth 1 https://github.com/phanghonghao/THU-Awesome-SkillsWrote 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/phanghonghao/thu-awesome-skills/fincomp-deck)<a href="https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/fincomp-deck"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/fincomp-deck/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/phanghonghao/thu-awesome-skills/fincomp-deck"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/fincomp-deck.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 | $0.00216 | $0.02981 |
| Opus 5 | $0.00108 | $0.01491 |
| Sonnet 5 | $0.00043 | $0.00596 |
| Haiku 4.5 | $0.00022 | $0.00298 |
Grade A, and why
fincomp-deck 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fincomp-deck — 融资比赛 12 页路演 deck（生成 + 体检）
一套从真实大赛项目沉淀出的 12 页路演结构，可复用到任何融资/商业大赛场景。
自带"标准范例"（见 references/），生成时对照范例的笔法和密度，体检时用它做基准。
设计哲学（务必内化）：
- 大赛 deck ≠ 纯融资 deck。大赛评委额外重：技术创新性/壁垒、落地可行性、社会与产业价值；弱化估值与融资金额。
- 每页只回答一个问题。标题是一句论断，不是主题词（"马来西亚 SME 工厂卡在最难受的中间地带"，不是"市场分析"）。
- 金句承担记忆点。每页留一句评委能复述给同事的话。
- 脚注/来源=可信度。所有数字、政策、案例必须可溯源；正式版每页带脚注。
0. 模式路由（先判断，再动手）
| 用户给了什么 / 说了什么 | 模式 | 入口 |
|---|---|---|
| 描述新项目 / 给原始素材 / "做一版""写一份""生成" | 生成模式 | → §3 |
| 指向一个已存在的 deck 文件 / "体检""检查""审""对照""找缺口" | 体检模式 | → §4 |
| 不确定 | 先问：是要从零生成一份，还是审一份已有的？ |
判断不清时优先问一句，不要默认。
1. 12 页结构总表（核心资产）
每页固定 4 列：序号 / 页名 / 这一页必须回答的唯一问题 / 对应 SixArm 投资人框架页。
| # | 页名 | 唯一要回答的问题 | ↔ SixArm |
|---|---|---|---|
| 1 | 封面 Cover | 我们是谁、为谁解决什么（一句话，不讲技术） | （标题页，SixArm 无） |
| 2 | 问题 Problem | 谁在痛、痛在哪、为什么现有方案不合适 | Problem ✓ |
| 3 | 为什么是现在 Why Now | 为什么是现在做，而不是太早或太晚 | Problem·Bonus + Market |
| 4 | 市场洞察 Market | 真正的空白带在哪、多窄多明确 | Market ✓ |
| 5 | 定位 / 边界 Positioning | 我们是什么、不是什么（缩边界） | Solution + Competition |
| 6 | 解决方案结构 Solution | 我们交付的产品到底由什么组成 | Solution ✓ |
| 7 | Demo / MVP | 现场只证明哪 3 件事 | Validation（大赛特有，SixArm 无 Demo 页） |
| 8 | 全球验证 Global Proof | 这条路全球是否已被证明成立 | Validation + Competition |
| 9 | 壁垒 / 微笑曲线 Moat | 凭什么是我们、护城河怎么长出来 | Competition（可持续优势） |
| 10 | 盈利模式 Business Model | 钱怎么赚、怎么一步步长出高毛利层 | Financial + Sales |
| 11 | 上下游 / GTM | 上游借谁、下游先打谁、怎么卖出第一单 | Partner + Sales + Marketing |
| 12 | 愿景 / Ask / Closing | 接下来做什么、现在要什么 | Investment + Roadmap |
附 2 页备用页（Q&A 兜底，不在主 12 页内）：
- 备用页 A：公开案例数字（4 个可量化 case）
- 备用页 B：核心来源总览（数据/政策/案例/客户）
2. 每页字段 schema（输出必须遵守）
每一页用以下结构，缺字段体检会扣分：
## 第 N 页｜<页名>
### 标题
<一句论断，≤20 汉字，是结论不是主题词>
### 页面内容
- <3-5 条要点，可扫读；数字用反引号包住如 `21.2%`>
### 页面金句 ← 可选但强烈建议（承担记忆点）
> <1-2 行，评委能复述的话>
### 演讲提示 ← 生成版/路演版用此字段名
<这页讲什么、刻意不讲什么、停在哪个瞬间>
（正式版把"演讲提示"替换为 ↓）
### 脚注
`[1]` <证据说明，对应一个来源>
### 来源
[1] <机构/标题> <URL>
### 建议配图
- 主图：`source/<文件名>` 或 <视觉概念描述>
- 小辅助图（可选）：...
生成两版（沿用范例的交付习惯）：
XX_12页路演版.md：用### 演讲提示，不带来源，适合直接进 PPT。XX_12页路演版_带脚注正式版.md：把"演讲提示"换成### 脚注+### 来源，适合备注页/答辩备份。
What ships with it
3 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.
- 10d ago First seen · 209 lines · 216 tokens per session scan A 32bb0455ed0c
fincomp-deck is a skill published in the GitHub repository phanghonghao/THU-Awesome-Skills (8 stars, last pushed 1mo ago), licensed MIT. It adds 216 tokens to every session and 2,981 once invoked, about $0.0011 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 2026-08-31.
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