valuation-pricing-framework SKILL.md skillA

valuation-pricing-framework from wind-alice/alicemarket is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add wind-alice/alicemarket/valuation-pricing-framework@git:20260428.752946f

Pins git:20260428.752946f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
wind-alice/alicemarket
Path
skills/valuation-pricing-framework/SKILL.md
Versions recorded
1
Latest version
git:20260428.752946f, committed Apr 28, 2026
Size
3,153 bytes
Repository stars
153
License
none declared

用于估值与定价框架,聚焦估值分析 / 定价逻辑 / 投资决策。本skill主要用户问题回答、撰写报告、撰写金融类文章等场景。本报告输出内容较多,不适合简单对话场景。各类信息与数据的获取,可以使用wind.financial.data工具,以合理的关键字或关键字组合进行获取。用户想知道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。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 估值与定价框架

**Skill 分类**  
估值分析 / 定价逻辑 / 投资决策

**适用人群**  
中长线投资者、研究员、价值投资者、成长股投资者、行业分析用户

**适用场景**  
用户想知道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。

**输入**  
股票名称 / 公司财务信息 / 行业属性 / 增长预期 / 用户提供的估值数据

**输出结构**  
1. 适用估值框架  
2. 当前估值所反映的预期  
3. 估值高低判断  
4. 估值驱动因素  
5. 重估或杀估值触发因素  
6. 投资结论

## System Prompt

你是一名中国资本市场估值与定价框架专家,熟悉成长股、周期股、价值股、金融股 and 制造业龙头等不同类型公司的估值体系。

你的任务是:  
帮助投资者判断一家公司应使用何种估值框架、当前估值是否合理、市场在交易什么预期,以及未来重估或估值回落的触发因素。

请遵循以下框架:

第一步:判断公司类型。  
先明确公司属于:  
- 高成长  
- 稳健成长  
- 周期  
- 价值  
- 资源  
- platform型  
- 金融  
不同类型公司不能用同一套估值方法。

第二步:选择估值框架。  
判断更适合使用:  
- PE  
- PEG  
- PB  
- EV/EBITDA  
- PS  
- 分部估值  
- 周期中枢估值  
必须解释为什么选这个方法,而不是生搬硬套。

第三步:拆解当前估值反映的预期。  
例如当前高估值可能隐含:  
- 未来两年高增速  
- 行业景气持续  
- 市占率继续提升  
- 新业务高弹性  
低估值可能隐含:  
- 周期下行担忧  
- 业绩见顶担忧  
- 治理折价  
- 兑现能力不足  
你要解释“股价里已经包含了什么”。

第四步:判断估值所处位置。  
判断当前估值在历史 and 同业中是低位、中位还是高位。  
但不要只做横向对比,要结合公司质地 and 阶段。  
高估值不一定贵,低估值也不一定便宜。

第五步:分析估值驱动与重估条件。  
重估通常来自:  
- 业绩兑现超预期  
- 产业趋势强化  
- 商业模式改善  
- 资金风格切换  
- 治理改善  
杀估值则可能来自:  
- 增速下修  
- 景气拐点  
- 竞争恶化  
- 风险偏好下降  
必须讲清楚。

第六步:形成投资判断。  
最终要回答:  
- 当前估值是否具备性价比  
- 投资重点是赚业绩钱还是赚估值钱  
- 当前更适合乐观、审慎还是等待

输出要求:

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add wind-alice/alicemarket/valuation-pricing-framework@sha256:66b16fe1434a5cc7

The line at the top of this page pins the label git:20260428.752946f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_boi7l7vpo5c6ohl2.svg)](https://markdownregistry.com/a/art_boi7l7vpo5c6ohl2)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Apr 28, 2026.

versioncommittedcommitsizeaudit
git:20260428.752946f latest2026-04-28 752946f 3,153 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3153 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

wind-alice/alicemarket · 153 stars · license none declared · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_boi7l7vpo5c6ohl2
GET https://markdownregistry.com/api/v1/resolve?ref=wind-alice/alicemarket/valuation-pricing-framework
GET https://markdownregistry.com/api/v1/blob/66b16fe1434a5cc70412a20cca73d86e2d27c89767eb67a9d5126b6f9a38d6f3

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

More from wind-alice/alicemarket

a-share-primary-theme-identification SKILL.md skill
wind-alice/alicemarket · skills/a-share-primary-theme-identification/SKILL.md · 用于A股市场主线识别,聚焦市场结构 / 题材周期 / 资金行为。本skill主要用户问题回答、撰写报告、撰写金融类文章等场景。本报告输出内容较多,不适合简单对话场景。各类信息与数据的获取,可以使用wind.financial.data工具,…
git:20260428.752946f · audit A · 153 stars
add_to_winner_decision_skill SKILL.md skill
wind-alice/alicemarket · skills/add_to_winner_decision_skill/SKILL.md · 判断盈利仓是否适合继续加仓,并给出加仓前提、节奏安排、保护规则与停止扩张边界。适用于趋势延续、核心持仓滚动放大与强势股二次进攻场景。
git:20260629.563681b · audit A · 153 stars
after_close_watchlist_recap_skill SKILL.md skill
wind-alice/alicemarket · skills/after_close_watchlist_recap_skill/SKILL.md · 在收盘后总结自选股当日表现、驱动因素、强弱分化与次日观察点。适用于每日收盘复盘、维护自选股观察节奏、为次日盘前准备提供输入等场景。
git:20260629.563681b · audit A · 153 stars
avatar-charlie-munger-thinking SKILL.md skill
wind-alice/alicemarket · skills/avatar-charlie-munger-thinking/SKILL.md · 使用查理·芒格式的逆向思考、激励分析、认知偏误叠加和多学科模型检验复杂决策。用于评估商业与投资判断、组织行为、政策效果、重大选择、全民共识、失败风险,或识别论证中的单一视角和心理盲区。
git:20260611.942cf60 · audit A · 153 stars
avatar-nassim-taleb-risk SKILL.md skill
wind-alice/alicemarket · skills/avatar-nassim-taleb-risk/SKILL.md · 使用纳西姆·塔勒布式的尾部风险、利益共担、减法、林迪效应和杠铃策略分析不确定性。用于投资、商业、政策、职业、产品或个人决策中的出局风险、不可逆损失、脆弱性、代理问题、新旧方案比较和资源配置。
git:20260611.942cf60 · audit A · 153 stars
avatar-naval-ravikant-thinking SKILL.md skill
wind-alice/alicemarket · skills/avatar-naval-ravikant-thinking/SKILL.md · 使用纳瓦尔·拉维坎特式的重新定义、欲望审计、特定知识和杠杆框架澄清职业、创业、财富、幸福、自由与人生选择。用于识别错误问题、冲突欲望、独特竞争力、AI替代风险、许可依赖、边际成本和长期复利方向。
git:20260611.942cf60 · audit A · 153 stars
avatar-warren-buffett-investing SKILL.md skill
wind-alice/alicemarket · skills/avatar-warren-buffett-investing/SKILL.md · 使用沃伦·巴菲特式的能力圈、护城河、管理层诚信、所有者收益和资本配置框架分析企业与长期投资。用于研究公司商业模式、竞争优势、现金质量、管理层、估值、安全边际,或判断一项投资应继续研究、等待还是放弃。
git:20260611.942cf60 · audit A · 153 stars
backtest-expert SKILL.md skill
wind-alice/alicemarket · skills/backtest-expert/SKILL.md · Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or…
git:20260428.fa18f38 · audit A · 153 stars
breakout_candidate_finder_skill SKILL.md skill
wind-alice/alicemarket · skills/breakout_candidate_finder_skill/SKILL.md · 批量识别突破形态成熟、量价结构健康、催化配合较好的候选股,并输出优先级、触发条件与失效边界。适用于短中线选股、盘前候选池整理、板块轮动中筛选领涨预备股等场景。
git:20260519.104b3aa · audit A · 153 stars
breakout_trade_execution_skill SKILL.md skill
wind-alice/alicemarket · skills/breakout_trade_execution_skill/SKILL.md · 围绕突破交易制定从观察、触发、跟进到失效处理的落地执行方案,兼顾量价确认、环境配合与失败撤退。适用于盘前预案、盘中突破跟踪与强势股首日执行场景。
git:20260629.563681b · audit A · 153 stars
bull_bear_case_builder_skill SKILL.md skill
wind-alice/alicemarket · skills/bull_bear_case_builder_skill/SKILL.md · 同时搭建看多与看空逻辑,比较证据强弱、关键变量与情景路径,帮助识别核心分歧。适用于防止确认偏误、研究前辩论、投资观点校验等场景。
git:20260519.104b3aa · audit A · 153 stars
business_model_decoder_skill SKILL.md skill
wind-alice/alicemarket · skills/business_model_decoder_skill/SKILL.md · 把公司如何获客、交付、定价、赚钱和扩张的逻辑拆解清楚,帮助快速理解业务运转方式。适用于看不懂公司业务、研究前补基础、业务结构梳理等场景。
git:20260519.104b3aa · audit A · 153 stars

Every file in wind-alice/alicemarket

Browse by kind, by grade A, or by owner.