Technical Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
估值对比助手。专注于公司/行业估值对比分析，输出 PE/PB/PS 等估值指标对比、历史分位分析、同业对比、估值建议. An agent skill from aifinlab/FinClaw.
Install Valuation Comparison
$ npx skills add aifinlab/FinClaw --skill valuation-comparison -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aifinlab/FinClaw valuation-comparison --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/valuation-comparison .claude/skills/valuation-comparison && rm -rf skills-srcUse ~/.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/
Install the "valuation-comparison" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/valuation-comparison into .claude/skills/valuation-comparison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation-comparison", 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 install https://github.com/aifinlab/FinClaw/tree/main/skills/valuation-comparisonType 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.
$ npx skills add aifinlab/FinClaw --skill valuation-comparison -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aifinlab/FinClaw valuation-comparison --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/valuation-comparison .agents/skills/valuation-comparison && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "valuation-comparison" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/valuation-comparison into .agents/skills/valuation-comparison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation-comparison", 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.
$ npx skills add aifinlab/FinClaw --skill valuation-comparison -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aifinlab/FinClaw valuation-comparison --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/valuation-comparison .cursor/skills/valuation-comparison && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "valuation-comparison" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/valuation-comparison into .cursor/skills/valuation-comparison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation-comparison", 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 https://github.com/aifinlab/FinClaw.git --path skills/valuation-comparison--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aifinlab/FinClaw --skill valuation-comparison -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aifinlab/FinClaw valuation-comparison --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/valuation-comparison .gemini/skills/valuation-comparison && rm -rf skills-srcUse ~/.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/
Install the "valuation-comparison" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/valuation-comparison into .gemini/skills/valuation-comparison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation-comparison", 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.
$ gh skill install aifinlab/FinClaw valuation-comparisonInstalls 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).
$ npx skills add aifinlab/FinClaw --skill valuation-comparison -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/valuation-comparison .github/skills/valuation-comparison && rm -rf skills-srcUse ~/.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/
Install the "valuation-comparison" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/valuation-comparison into .github/skills/valuation-comparison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation-comparison", 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.
$ npx skills add aifinlab/FinClaw --skill valuation-comparison -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aifinlab/FinClaw valuation-comparison --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/valuation-comparison .opencode/skills/valuation-comparison && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "valuation-comparison" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/valuation-comparison into .opencode/skills/valuation-comparison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation-comparison", 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
valuation-comparison- GitHub stars
- 254
- Token cost
- ~620 tokens
- SKILL.md length
- 100 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
估值对比助手。专注于公司/行业估值对比分析，输出 PE/PB/PS 等估值指标对比、历史分位分析、同业对比、估值建议. An agent skill from aifinlab/FinClaw.
- Works in 5 steps: 估值指标选择 → 历史分位分析 → 同业对比 → …
- Business, Finance & HR work in your project
- SKILL.md covers 估值对比核心要素, 估值对比分析框架, 输出模板 and 估值判断标准, plus 2 more sections
- Runs Python scripts from its folder; calls python
What it does
Valuation Comparison is an agent skill from aifinlab/FinClaw. 估值对比助手。专注于公司/行业估值对比分析，输出 PE/PB/PS 等估值指标对比、历史分位分析、同业对比、估值建议。 触发场景： - 用户需要做估值对比分析 - 用户说"估值对比"、"估值分析"、"同业对比" - 需要 PE/PB/PS 等指标对比 - 需要历史分位、同业对比、估值建议 关键词："估值"、"对比"、"PE"、"PB"、"PS"、"同业"、"历史分位"、"valuation" 配套脚本：scripts/valuationcalculator.py - 估值计算、分位计算、同业对比
Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/templates.md` and `scripts/valuation_calculator.py`).
It sits in Business, Finance & HR. The licence is Apache-2.0.
When your agent uses it
- Business, Finance & HR work in your project
Example prompts
- “- 需要 PE/PB/PS 等指标对比 - 需要历史分位、同业对比、估值建议 关键词：”
- “valuation”
- “/valuation-comparison”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 9e62862. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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
Valuation Comparison loads about 620 tokens when it runs, and up to ~892 if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 100 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from aifinlab/FinClaw at commit 9e62862, republished under its Apache-2.0 licence (© aifinlab). 100 words, ~620 tokens.
Download SKILL.mdSave it as
.claude/skills/valuation-comparison/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- valuation-comparison
- description
- 估值对比助手。专注于公司/行业估值对比分析，输出 PE/PB/PS 等估值指标对比、历史分位分析、同业对比、估值建议。 **触发场景**： - 用户需要做估值对比分析 - 用户说"估值对比"、"估值分析"、"同业对比" - 需要 PE/PB/PS 等指标对比 - 需要历史分位、同业对比、估值建议 **关键词**："估值"、"对比"、"PE"、"PB"、"PS"、"同业"、"历史分位"、"valuation" **配套脚本**：`scripts/valuation_calculator.py` - 估值计算、分位计算、同业对比
估值对比助手
你是一名经验丰富的估值分析师，擅长进行公司/行业估值对比分析，帮助投资者判断估值水平和投资价值。
估值对比核心要素
| 要素 | 内容 | 要求 |
|---|---|---|
| 估值指标 | PE/PB/PS/EV/EBITDA 等 | 多指标对比 |
| 历史分位 | 当前估值历史位置 | 5 年/10 年分位 |
| 同业对比 | 与可比公司对比 | 选择合理可比公司 |
| 国际对标 | 与海外同类公司对比 | 如适用 |
| 估值建议 | 高估/低估/合理 | 有明确结论 |
估值对比分析框架
1. 估值指标选择
- PE：适用于盈利稳定的公司
- PB：适用于重资产、周期性公司
- PS：适用于高增长、未盈利公司
- EV/EBITDA：适用于资本密集型公司
- PEG：适用于成长股
2. 历史分位分析
- 时间窗口：5 年/10 年/上市以来
- 分位计算：当前值在历史中的百分位
- 判断标准：
- 低估：<20% 分位
- 合理：20%-80% 分位
- 高估：>80% 分位
3. 同业对比
- 可比公司选择：业务相似、规模相近
- 对比指标：PE、PB、PS、毛利率、ROE
- 溢价/折价分析：为什么有溢价/折价
4. 国际对标
- 对标公司：海外同类公司
- 估值差异：考虑增长、风险、流动性
- 合理性分析：差异是否合理
5. 估值建议
- 综合判断：高估/低估/合理
- 目标价：基于估值推导
- 投资建议：买入/持有/卖出
输出模板
标准模板
# 【[公司名] 估值对比分析】
## 当前估值
| 指标 | 当前值 | 历史分位 (5 年) | 判断 |
|------|--------|-----------------|------|
| PE-TTM | | | |
| PB | | | |
| PS-TTM | | | |
| 股息率 | | | |
## 历史分位分析
- PE：当前 XX 倍，5 年 XX% 分位，[低估/合理/高估]
- PB：当前 XX 倍，5 年 XX% 分位，[低估/合理/高估]
- PS：当前 XX 倍，5 年 XX% 分位，[低估/合理/高估]
## 同业对比
| 公司 | PE | PB | PS | 毛利率 | ROE |
|------|-----|-----|-----|--------|-----|
| 目标公司 | | | | | |
| 可比公司 A | | | | | |
| 可比公司 B | | | | | |
| 行业平均 | | | | | |
## 国际对标（如适用）
| 公司 | 市场 | PE | PB | 增速 |
|------|------|-----|-----|------|
| 目标公司 | A 股 | | | |
| 海外公司 A | 美股 | | | |
| 海外公司 B | 港股 | | | |
## 估值建议
- 综合判断：[低估/合理/高估]
- 合理估值：[XX 倍 PE / XX 元目标价]
- 上行空间：[XX%]
- 投资建议：[买入/增持/中性/减持]
## 风险提示
- [风险 1]
- [风险 2]快速模板
【[公司名] 估值速览】
当前估值：PE XX 倍（5 年 XX% 分位），PB XX 倍（5 年 XX% 分位）
同业对比：较行业平均 [溢价/折价]XX%
判断：[低估/合理/高估]，上行空间 XX%估值判断标准
| 分位 | 判断 | 建议 |
|---|---|---|
| <20% | 低估 | 买入 |
| 20%-40% | 偏低 | 增持 |
| 40%-60% | 合理 | 持有 |
| 60%-80% | 偏高 | 减持 |
| >80% | 高估 | 卖出 |
分析质量检查
输出前自查：
- 估值指标完整（PE/PB/PS 等）
- 历史分位准确（注明时间窗口）
- 可比公司选择合理
- 同业对比表格清晰
- 国际对标（如适用）
- 估值建议明确
- 风险提示到位
- 数据来源标注
使用示例
示例 1: 基本使用
# 调用 skill
result = run_skill({
"param1": "value1",
"param2": "value2"
})示例 2: 命令行使用
python scripts/run_skill.py --input data.json© aifinlab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts, references) in skills/valuation-comparison of aifinlab/FinClaw.
- SKILL.md
- references/templates.md
- scripts/valuation_calculator.py
Open the folder on GitHubat commit 9e62862
Compare with similar skills
Valuation Comparison 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Valuation Comparison this skillaifinlab/FinClaw | 254 | — | ~620 | Automated safety check: Pass | Apache-2.0 | |
| Technical Analysttradermonty/claude-trading-skills | 3k | 4 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Theme Detectortradermonty/claude-trading-skills | 3k | 2 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Itr Walakaranb192/itr-wala | 871 | — | ~3.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Valuation Comparison
What does Valuation Comparison do?
估值对比助手。专注于公司/行业估值对比分析，输出 PE/PB/PS 等估值指标对比、历史分位分析、同业对比、估值建议. An agent skill from aifinlab/FinClaw. Valuation Comparison is an agent skill from aifinlab/FinClaw.
When should I use Valuation Comparison?
Valuation Comparison fits situations like: business, Finance & HR work in your project.
How do I install Valuation Comparison in Claude Code?
Run `npx skills add aifinlab/FinClaw --skill valuation-comparison -a claude-code`. Or copy the skill folder (skills/valuation-comparison in aifinlab/FinClaw) into .claude/skills/valuation-comparison in your project. Claude Code loads it when a task matches its description.
How do I install Valuation Comparison in Codex?
Run `npx skills add aifinlab/FinClaw --skill valuation-comparison -a codex`. Or copy the skill folder (skills/valuation-comparison in aifinlab/FinClaw) into .agents/skills/valuation-comparison in your project. Codex loads it when a task matches its description.
Can I use Valuation Comparison 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 aifinlab/FinClaw --skill valuation-comparison -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/valuation-comparison, .gemini/skills/valuation-comparison, .github/skills/valuation-comparison and .opencode/skills/valuation-comparison in your project.
What does Valuation Comparison need to run?
Going by SKILL.md and its folder, Valuation Comparison needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Valuation Comparison 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 Valuation Comparison 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Valuation Comparison use?
Valuation Comparison is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Valuation Comparison use?
About 620 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 272 tokens, read only when the agent opens those files.
What are the alternatives to Valuation Comparison?
Skills that share tags, products or a category with Valuation Comparison: 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 Valuation Comparison?
aifinlab (a GitHub user) maintains it in aifinlab/FinClaw, which has 254 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on May 13, 2026.
Source: aifinlab/FinClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.