Agent skill

Comps Valuation

可比公司估值分析工具。根据标的公司选择合适的同业公司组合，计算关键估值倍数并进行相对估值. An agent skill from rongxinzy/RongxinAI.

AGPL-3.0Auto-check passedBusiness, Finance & HR

Install Comps Valuation

skills CLI

$ npx skills add rongxinzy/RongxinAI --skill comps-valuation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install rongxinzy/RongxinAI comps-valuation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation .claude/skills/comps-valuation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "comps-valuation" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation into .claude/skills/comps-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comps-valuation", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add rongxinzy/RongxinAI --skill comps-valuation -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install rongxinzy/RongxinAI comps-valuation --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation .agents/skills/comps-valuation && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "comps-valuation" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation into .agents/skills/comps-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comps-valuation", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add rongxinzy/RongxinAI --skill comps-valuation -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install rongxinzy/RongxinAI comps-valuation --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation .cursor/skills/comps-valuation && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "comps-valuation" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation into .cursor/skills/comps-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comps-valuation", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/rongxinzy/RongxinAI.git --path SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add rongxinzy/RongxinAI --skill comps-valuation -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install rongxinzy/RongxinAI comps-valuation --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation .gemini/skills/comps-valuation && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "comps-valuation" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation into .gemini/skills/comps-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comps-valuation", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install rongxinzy/RongxinAI comps-valuation

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add rongxinzy/RongxinAI --skill comps-valuation -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .github/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation .github/skills/comps-valuation && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "comps-valuation" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation into .github/skills/comps-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comps-valuation", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add rongxinzy/RongxinAI --skill comps-valuation -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install rongxinzy/RongxinAI comps-valuation --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation .opencode/skills/comps-valuation && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "comps-valuation" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation into .opencode/skills/comps-valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comps-valuation", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: comps-valuation
GitHub stars: 154
Used in: 1 other repo
Token cost: ~541 tokens
SKILL.md length: 99 words
Files: 1
Skills in repo: 94
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: AGPL-3.0

At a glance

可比公司估值分析工具。根据标的公司选择合适的同业公司组合，计算关键估值倍数并进行相对估值. An agent skill from rongxinzy/RongxinAI.

Works in 5 steps: ：目标公司定位 → ：Comp 组选择 → ：数据采集与计算 → …
Business, Finance & HR work in your project
SKILL.md covers 功能说明, 工作流, 输出格式 and 注意事项
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Comps Valuation is an agent skill from rongxinzy/RongxinAI. 可比公司估值分析工具。根据标的公司选择合适的同业公司组合，计算关键估值倍数并进行相对估值。触发词：可比估值、comps、peer comparison、同行对比、相对估值、估值对比、PE对比、倍数估值

Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR. The repository describes itself as: An all-in-one local AI Agent workspace with a fully self-developed stack. The licence is AGPL-3.0.

When your agent uses it

Business, Finance & HR work in your project

Example prompts

“/comps-valuation”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

：目标公司定位
：Comp 组选择
：数据采集与计算
：估值推导
：敏感性与判断

What it can do on your machine

Read from SKILL.md and the folder at commit 9c64865. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Comps Valuation loads about 541 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 99 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~29
When it runs · the whole SKILL.md, loaded when a task matches: ~541

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rongxinzy/RongxinAI at commit 9c64865, republished under its AGPL-3.0 licence (© rongxinzy). 99 words, ~541 tokens.

Download SKILL.mdSave it as .claude/skills/comps-valuation/SKILL.md (or your agent's skills folder).

name: comps-valuation
description: 可比公司估值分析工具。根据标的公司选择合适的同业公司组合，计算关键估值倍数并进行相对估值。触发词：可比估值、comps、peer comparison、同行对比、相对估值、估值对比、PE对比、倍数估值

可比公司估值（Comps Valuation）

功能说明

构建和分析可比公司估值表，通过对比同业公司的估值倍数（P/E、EV/EBITDA、P/B、P/S、EV/Revenue 等），对目标公司进行相对估值定价。

工作流

Phase 1：目标公司定位

确认目标公司的行业、子行业和业务模式
识别关键特征：增速、规模、盈利能力、地域、业务组合
确定适用的估值指标集

Phase 2：Comp 组选择

初筛：同一子行业、类似业务模式
筛选维度：
- 收入规模（0.3x-3x 范围）
- 增长率相似性
- 盈利阶段（盈利 vs 亏损）
- 地域可比性
- 业务纯度
最终选择 5-10 家最具可比性的公司
对每家 comp 的选入理由做简要说明

Phase 3：数据采集与计算

采集各公司最新财务数据：
- 市值、企业价值（EV = 市值 + 净债务 + 少数股东权益）
- 收入、EBITDA、净利润、自由现金流
- 增长率、利润率、ROE/ROIC
计算估值倍数：
- 历史倍数：当前年（CY）和前一年
- 前瞻倍数：NTM（未来12个月）和下一财年
计算统计量：均值、中位数、25/75 分位

Phase 4：估值推导

选择 2-3 个最适用的倍数指标
确定合理倍数范围（考虑增速溢价/折价）
应用于目标公司得出估值区间
与当前市值对比得出隐含上行/下行空间

Phase 5：敏感性与判断

展示不同倍数假设下的估值敏感性
解释溢价/折价的合理性
识别 comp 组的局限性
给出最终估值判断

输出格式

Comp 表格（核心）

公司名称 | 代码 | 市值 | EV | Rev Growth | EBITDA Margin | P/E (NTM) | EV/EBITDA (NTM) | P/S | 选入理由
---------|------|------|----|-----------:|-------------:|----------:|----------------:|----:|--------
Comp A   | XXX  | ...  | .. | ...        | ...          | ...       | ...             | ... | ...
...
均值      |      |      |    |            |              |           |                 |     |
中位数    |      |      |    |            |              |           |                 |     |
目标公司  | XXX  | ...  | .. | ...        | ...          | ...       | ...             | ... |
隐含溢/折 |     |      |    |            |              |  +/-XX%   |  +/-XX%         |     |

估值总结

方法         | 倍数区间        | 目标公司适用值 | 隐含估值范围    | 隐含上行/下行
------------|----------------|--------------|---------------|-------------
P/E (NTM)   | XXx - XXx     | XXx          | ¥XX - ¥XX     | +XX% / -XX%
EV/EBITDA   | XXx - XXx     | XXx          | ¥XX - ¥XX     | +XX% / -XX%
加权目标价   |               |              | ¥XX           | +/-XX%

注意事项

Comp 选择需要判断力——不是同行业就一定可比，须论证选入逻辑
高增长公司可享受溢价，但需量化（PEG 或增速差异调整）
注意会计准则差异（IFRS vs GAAP vs 中国准则）对倍数的影响
亏损公司不适用 P/E，应使用 EV/Revenue 或 P/S
周期性行业注意使用中周期正常化盈利
标注所有数据的截至日期和来源

Files

Just SKILL.md in SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation of rongxinzy/RongxinAI.

Open the folder on GitHubat commit 9c64865

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in rongxinzy/RongxinAI, which our catalogue first saw on October 7, 2026.

infometa/workbuddyskillsexperts/equity-research/skills/comps-valuation

Compare with similar skills

Comps Valuation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Comps Valuation compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Comps Valuation this skillrongxinzy/RongxinAI	154	1 repos	~541	Automated safety check: Pass	AGPL-3.0	today
Technical Analysttradermonty/claude-trading-skills	3k	4 repos	~4.6k	Automated safety check: Pass	MIT	today
Theme Detectortradermonty/claude-trading-skills	3k	2 repos	~4.9k	Automated safety check: Pass	MIT	today
Creating Financial ModelsChen-zexi/open-ptc-agent	729	3 repos	~1.3k	Automated safety check: Pass	MIT	8 mo ago
Stock APIzhangxiangliang/stock-api	2k	—	~507	Automated safety check: Pass	MIT	today
Itr Walakaranb192/itr-wala	871	—	~3.6k	Automated safety check: Pass	MIT	5 days ago

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Questions about Comps Valuation

What does Comps Valuation do?

可比公司估值分析工具。根据标的公司选择合适的同业公司组合，计算关键估值倍数并进行相对估值. An agent skill from rongxinzy/RongxinAI. Comps Valuation is an agent skill from rongxinzy/RongxinAI.

When should I use Comps Valuation?

Comps Valuation fits situations like: business, Finance & HR work in your project.

How do I install Comps Valuation in Claude Code?

Run `npx skills add rongxinzy/RongxinAI --skill comps-valuation -a claude-code`. Or copy the skill folder (SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation in rongxinzy/RongxinAI) into .claude/skills/comps-valuation in your project. Claude Code loads it when a task matches its description.

How do I install Comps Valuation in Codex?

Run `npx skills add rongxinzy/RongxinAI --skill comps-valuation -a codex`. Or copy the skill folder (SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/comps-valuation in rongxinzy/RongxinAI) into .agents/skills/comps-valuation in your project. Codex loads it when a task matches its description.

Can I use Comps Valuation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rongxinzy/RongxinAI --skill comps-valuation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/comps-valuation, .gemini/skills/comps-valuation, .github/skills/comps-valuation and .opencode/skills/comps-valuation in your project.

What does Comps Valuation need to run?

SKILL.md names no scripts, command-line tools or credentials: Comps Valuation is instructions for the agent only.

Does Comps Valuation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Comps Valuation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Comps Valuation use?

Comps Valuation is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Comps Valuation use?

About 541 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Comps Valuation?

Skills that share tags, products or a category with Comps Valuation: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Comps Valuation?

rongxinzy (a GitHub organization) maintains it in rongxinzy/RongxinAI, which has 154 GitHub stars. The repository holds 94 skills in this directory. The repository was last updated on October 10, 2026.

Source: rongxinzy/RongxinAI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Comps Valuation

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

可比公司估值（Comps Valuation）

功能说明

工作流

Phase 1：目标公司定位

Phase 2：Comp 组选择

Phase 3：数据采集与计算

Phase 4：估值推导

Phase 5：敏感性与判断

输出格式

Comp 表格（核心）

估值总结

注意事项

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from rongxinzy/RongxinAI

Related

Questions about Comps Valuation