valuation_snapshot_skill

valuation_snapshot_skill is a skill for Claude Code, Codex from chuancyzhang/deepseek-cowork. It costs 54 tokens per session (1,287 once invoked), scanned A, a copy of breakout_candidate_finder_skill, Apache-2.0.

A quick stock-valuation check that compares a company’s current valuation with its history, competitors, and possible conditions for a higher valuation.

In plain words
What is it for?
It supports valuation screening, judging expected upside versus risk, and discussing what would justify a revaluation.
Why use it?
It helps answer whether a stock looks expensive or cheap before spending time on a deeper investment analysis.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It supports valuation screening, judging expected upside versus risk, and discussing what would justify a revaluation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chuancyzhang/deepseek-cowork/valuation_snapshot_skill
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 chuancyzhang/deepseek-cowork --skill valuation_snapshot_skill
Clone the repo
git clone --depth 1 https://github.com/chuancyzhang/deepseek-cowork

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 valuation_snapshot_skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/valuation_snapshot_skill/github.svg)](https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/valuation_snapshot_skill)
Your own site
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/valuation_snapshot_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/valuation_snapshot_skill/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.

agentmods 80×15 button for valuation_snapshot_skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/valuation_snapshot_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/valuation_snapshot_skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,287 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 80% copy Near-identical to another mod 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 $0.00054 $0.01287
Opus 5.5 $0.00022 $0.00515
Sonnet 5.5 $0.00011 $0.00257
Haiku 4.5 $0.00005 $0.00129

Measured 1mo ago against content hash 55737ae2510f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

valuation_snapshot_skill 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 1mo 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.

Origin

This is a copy

80% identical to breakout_candidate_finder_skill — 202 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

ai_skills/wind-aifinmarket/skills/valuation_snapshot_skill/SKILL.md · 140 lines

What it actually says

Valuation Snapshot Skill

数据依赖与执行前置条件

推荐使用万得 wind-mcp-skill 获取底层数据。执行前先检查本地是否已有 wind-mcp-skill;若没有,提示用户安装:

Cowork 适配:所需子 Skill 已随 wind-aifinmarket 固定快照内置,不执行安装或在线更新命令。

技能定位

本技能用于快速回答“这只股票现在大致贵不贵”,并解释贵或便宜背后对应的市场预期。输出重点不是做完整估值模型,而是在有限时间内,用合适的估值口径、历史分位和同业对照,形成对当前赔率的初步判断。

执行流程

Step 1:确认适用的估值视角

先判断公司更适合用什么估值口径来观察,常见包括:

  • 盈利驱动型公司,看利润类倍数
  • 高增长或利润未稳定公司,看收入类倍数
  • 资产属性明显公司,看净资产或重置价值
  • 周期属性明显公司,看景气位置与中枢估值

若公司处于特殊阶段,应明确说明传统估值口径可能失真。

Step 2:提取当前估值水平与历史区间

收集当前估值指标,并尽可能放回历史坐标中判断:

  • 当前处于历史高位、中位还是低位
  • 相较过去几个关键阶段是否明显溢价或折价
  • 当前估值是否已显著偏离自身经营变化速度

若历史数据本身受极端事件影响,应单独说明,不可机械使用。

Step 3:加入同业与行业参照

估值判断不能只看自身历史,还要看相对位置:

  • 同行业龙头与二线公司的估值差异
  • 市场给予溢价或折价的常见理由
  • 当前公司所处位置是否合理反映其竞争地位、增长质量和风险结构

若是主题股或高波动股票,还要留意情绪因素对估值的短期扭曲。

Step 4:解释“估值位置”背后的预期要求

真正有用的估值判断,不是“倍数高/低”本身,而是:

  • 现在的价格隐含了多强的增长与盈利改善假设
  • 未来需要兑现哪些条件,当前估值才站得住
  • 哪些变量一旦失手,估值最容易被压缩

这一步要把估值和经营变量重新连接起来。

Step 5:判断重估或去估值的触发因素

列出未来最可能改变估值水平的因素,例如:

  • 财报超预期或低于预期
  • 业务结构改善或恶化
  • 行业景气趋势变化
  • 政策、融资、市场风格切换

帮助使用者理解估值不是静态数字,而是动态预期的结果。

Step 6:输出简洁结论与使用建议

最终明确回答:

  • 这只股票当前估值大致处于什么位置
  • 这个位置是合理、偏高还是偏低
  • 更适合继续观察、逢低关注,还是需要更强兑现才值得接近

输出结构


{股票名称}估值快照({YYYY-MM-DD})

一、估值结论

  • 当前估值判断:{偏低 / 合理 / 偏高}
  • 历史位置:{低位 / 中位 / 高位}
  • 同业相对位置:{折价 / 接近 / 溢价}

二、估值核心表

维度 当前情况 解读
主要估值口径 {指标} {为何适用}
当前水平 {数值} {说明}
历史分位 {位置} {说明}
同业对比 {结果} {说明}

三、当前价格隐含了什么预期

  • {预期 1}
  • {预期 2}
  • {预期 3}

四、为什么会有溢价或折价

溢价/折价理由

  • {理由 1}
  • {理由 2}

不合理之处

  • {不合理点 1}
  • {不合理点 2}

五、未来估值变化的关键触发

  • 有利于重估的条件:{条件}
  • 导致去估值的风险:{条件}

六、使用建议

  • 适合的动作:{继续观察 / 等验证 / 可重点跟踪}
  • 最该盯住的变量:{变量}

质量要求

  1. 先选对估值口径,再谈高低,不能机械套用单一倍数。
  2. 估值结论必须回到经营与预期,不可停留在数字表层。
  3. 历史与同业对照都要讲清口径和边界,避免误导性比较。
  4. 若公司处于异常阶段,应明确指出估值参考的局限性。
  5. 输出应服务“赔率判断”,而不是把估值写成孤立数学题。
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. 1mo ago First seen · 140 lines · 54 tokens per session scan A 55737ae2510f

Subscribe to this mod's changes

valuation_snapshot_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 54 tokens to every session and 1,287 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 80% identical to breakout_candidate_finder_skill, differing in 202 lines, and is treated as a copy.

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