Borrowing it
Nothing to install: this file belongs to belos-street/stock-analytics-skill. 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/belos-street/stock-analytics-skill/main/.agents/skills/valuation-framework/SKILL.mdgit clone --depth 1 https://github.com/belos-street/stock-analytics-skillWrote 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/belos-street/stock-analytics-skill/valuation-framework)<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/valuation-framework"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/valuation-framework.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00060 | $0.02468 |
| Opus 5 | $0.00030 | $0.01234 |
| Sonnet 5 | $0.00012 | $0.00494 |
| Haiku 4.5 | $0.00006 | $0.00247 |
Grade A, and why
valuation-framework 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 8d 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 — 369 lines — stays where its author put it; the contents beside it link to each section on GitHub.
估值与定价框架
技能核心定位
核心目标
用于估值与定价框架，聚焦估值分析、定价逻辑、投资决策。帮助用户理解一家公司应该怎么估值、当前估值处于什么水平、市场为什么愿意给这个估值、还有没有重估空间。
目标用户
- 价值投资者：关注估值高低，寻找低估标的
- 基本面研究者：分析公司内在价值
- 投研分析师：进行估值建模分析
- 投资决策者：辅助买卖决策
技能边界
可提供服务：
- 相对估值法（PE、PB、PS、EV/EBITDA）
- 绝对估值法（DCF、DDM）
- 估值分位数分析
- 估值逻辑解读
- 同业对比分析
- 重估空间分析
不可提供服务：
- 具体买卖指令
- 承诺收益
- 预测股价
- 内幕信息
估值方法体系
1. 相对估值法
市盈率（PE）
PE = 股价 / 每股收益
PE = 总市值 / 净利润
适用场景：
- 盈利稳定的成熟公司
- 同行业对比
- 周期行业需谨慎
估值判断：
| 分位数 | 估值水平 | 操作建议 |
|---|---|---|
| < 20% | 历史低位 | 重点关注 |
| 20-50% | 偏低 | 可以配置 |
| 50-80% | 偏高 | 谨慎参与 |
| > 80% | 历史高位 | 回避 |
市净率（PB）
PB = 股价 / 每股净资产
PB = 总市值 / 净资产
适用场景：
- 金融行业（银行、保险、券商）
- 制造业
- 资产重度公司
估值判断：
| 分位数 | 估值水平 | 操作建议 |
|---|---|---|
| < 1 | 破净 | 价值陷阱？ |
| 1-2 | 合理偏低 | 可以配置 |
| 2-3 | 合理偏高 | 谨慎参与 |
| > 3 | 溢价明显 | 需要成长支撑 |
市销率（PS）
PS = 股价 / 每股营收
PS = 总市值 / 营业收入
适用场景：
- 尚未盈利的成长公司
- 互联网公司
- SaaS公司
估值判断：
| PS值 | 估值水平 | 适用场景 |
|---|---|---|
| < 2 | 低估值 | 成熟行业 |
| 2-5 | 合理 | 稳定增长 |
| 5-10 | 偏高 | 成长股 |
| > 10 | 高估值 | 高速成长 |
企业价值倍数（EV/EBITDA）
EV/EBITDA = 企业价值 / EBITDA
EBITDA = 净利润 + 利息 + 税 + 折旧 + 摊销
适用场景：
- 资本密集型行业
- 并购估值
- 跨行业对比
2. 绝对估值法
股息贴现模型（DDM）
V = D1/(1+r) + D2/(1+r)² + ... + Dn/(1+r)ⁿ
V：内在价值
D：股息
r：贴现率
适用场景：
- 稳定分红的大型蓝筹
- 寿命无限的公司
- 现金流稳定
自由现金流折现（DCF）
V = CF1/(1+r) + CF2/(1+r)² + ... + CFn/(1+r)ⁿ
CF：自由现金流
r：加权平均资本成本（WACC）
适用场景：
- 现金流稳定的成熟公司
- 可预测性强的公司
- 长期投资者
3. 特殊估值方法
PEG估值
PEG = PE / 净利润增长率
| PEG值 | 含义 |
|---|---|
| < 0.5 | 非常便宜 |
| 0.5-1 | 合理偏低 |
| 1-2 | 合理 |
| > 2 | 偏贵 |
ROE-PB估值
合理PB = ROE / 要求的回报率
适用场景：
- 长期稳定ROE的公司
- 价值投资
- 股东回报视角
估值分析框架
第一步：确定公司特点
分析维度：
- 所处生命周期：初创/成长/成熟/衰退
- 盈利稳定性：稳定/波动/亏损
- 分红能力：有/无
- 行业特点：轻资产/重资产
- 增长预期：高/中/低
第二步：选择估值方法
初创+亏损 → PS、EV/GMV
成长+盈利 → PEG、PS
成熟+稳定 → PE、DCF、DDM
重资产 → PB、EV/EBITDA
金融 → PB
第三步：收集数据
财务数据：
- 营收、净利润
- 净资产
- 现金流
- 分红
市场数据：
- 股价、市值
- 行业平均PE/PB
- 历史分位数
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.
- 8d ago First seen · 369 lines · 60 tokens per session scan A 5ccffb5c5119
valuation-framework is a skill published in the GitHub repository belos-street/stock-analytics-skill (48 stars, last pushed 27d ago), licensed MIT. It adds 60 tokens to every session and 2,468 once invoked, about $0.0003 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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