基于邱国鹭《投资中最简单的事》方法论的股票价值分析器（v2.0 双层架构）。通过"三好原则"（好行业、好公司、好价格）系统评估一只股票是否值得投资。v2.0 在原定性框架之上注入一套可量化、可复现的硬模型层——反向 DCF 反解市场隐含增速、情景概率加权估值、EPV 盈利能力价值、分行业估值路由、杜邦三/五因子分解、ROIC vs WACC、Piotroski F-Score、Beneish…
$ npx skills add FunnyKun/stock-value-analyzer --skill stock-value-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FunnyKun/stock-value-analyzer stock-value-analyzer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "stock-value-analyzer" agent skill from https://github.com/FunnyKun/stock-value-analyzer/tree/main into .claude/skills/stock-value-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-value-analyzer", 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.
$ npx skills add FunnyKun/stock-value-analyzer --skill stock-value-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FunnyKun/stock-value-analyzer stock-value-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "stock-value-analyzer" agent skill from https://github.com/FunnyKun/stock-value-analyzer/tree/main into .agents/skills/stock-value-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-value-analyzer", 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 FunnyKun/stock-value-analyzer --skill stock-value-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FunnyKun/stock-value-analyzer stock-value-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "stock-value-analyzer" agent skill from https://github.com/FunnyKun/stock-value-analyzer/tree/main into .cursor/skills/stock-value-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-value-analyzer", 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.
$ npx skills add FunnyKun/stock-value-analyzer --skill stock-value-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FunnyKun/stock-value-analyzer stock-value-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "stock-value-analyzer" agent skill from https://github.com/FunnyKun/stock-value-analyzer/tree/main into .gemini/skills/stock-value-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-value-analyzer", 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 FunnyKun/stock-value-analyzer stock-value-analyzerInstalls 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 FunnyKun/stock-value-analyzer --skill stock-value-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "stock-value-analyzer" agent skill from https://github.com/FunnyKun/stock-value-analyzer/tree/main into .github/skills/stock-value-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-value-analyzer", 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 FunnyKun/stock-value-analyzer --skill stock-value-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install FunnyKun/stock-value-analyzer stock-value-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "stock-value-analyzer" agent skill from https://github.com/FunnyKun/stock-value-analyzer/tree/main into .opencode/skills/stock-value-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-value-analyzer", 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.
stock-value-analyzer基于邱国鹭《投资中最简单的事》方法论的股票价值分析器（v2.0 双层架构）。通过"三好原则"（好行业、好公司、好价格）系统评估一只股票是否值得投资。v2.0 在原定性框架之上注入一套可量化、可复现的硬模型层——反向 DCF 反解市场隐含增速、情景概率加权估值、EPV 盈利能力价值、分行业估值路由、杜邦三/五因子分解、ROIC vs WACC、Piotroski F-Score、Beneish…
Stock Value Analyzer is an agent skill from FunnyKun/stock-value-analyzer. 基于邱国鹭《投资中最简单的事》方法论的股票价值分析器（v2.0 双层架构）。通过"三好原则"（好行业、好公司、好价格）系统评估一只股票是否值得投资。v2.0 在原定性框架之上注入一套可量化、可复现的硬模型层——反向 DCF 反解市场隐含增速、情景概率加权估值、EPV 盈利能力价值、分行业估值路由、杜邦三/五因子分解、ROIC vs WACC、Piotroski F-Score、Beneish M-Score、Altman Z-Score、盈余质量与时间序列趋势分析——配套取数脚本自动计算，使"好公司、好价格"从感性判断升级为客观证据。所有分析强制前置 API 优先取数（yfinance + AkShare 双引擎）+ 多信源数据校验 + 强制时间序列提取，并在初稿完成后执行交卷前自检，未通过不得发布。
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/api-data-source-protocol.md`, `references/contrarian-checklist.md` and `references/data-verification-protocol.md`).
It sits in Business, Finance & HR, covering Financial modeling and Stock and market analysis. It works with yfinance. The repository describes itself as: AI Skill：基于邱国鹭《投资中最简单的事》方法论的股票价值分析器。通过"三好原则"（好行业、好公司、好价格）系统评估一只股票是否值得投资，结合逆向投资思维、定价权分析、估值陷阱识别，输出结构化的投资决策建议.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c2224c9. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Stock Value Analyzer loads about 3.3k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 843 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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 843 words (~3,279 tokens).
SKILL.md and 8 other files (scripts, references) in the repository root of FunnyKun/stock-value-analyzer.
Open the folder on GitHubat commit c2224c9
Stock Value Analyzer 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 |
|---|---|---|---|---|---|---|
| Stock Value Analyzer this skillFunnyKun/stock-value-analyzer | 140 | — | ~3.3k | Automated safety check: Pass | None | |
| Financial Data Collectordaymade/claude-code-skills | 1.4k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Stock Analysis24mlight/StockClaw | 101 | 2 repos | ~2k | Automated safety check: Notes | MIT | |
| Equity ResearchrollingSirius/equity-research-skill | 452 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Regimejackson-video-resources/markov-hedge-fund-method | 483 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Yahoo Finance24mlight/StockClaw | 101 | 2 repos | ~1.1k | Automated safety check: Notes | MIT |
daymade/claude-code-skills
Collects real financial data for any US publicly traded company from free public sources (yfinance) and outputs structured JSON for downstream skills (DCF modeling, comps analysis, earnings review)…
24mlight/StockClaw
Analyze stocks and cryptocurrencies using Yahoo Finance data.
rollingSirius/equity-research-skill
撰写机构级个股投资研究报告（二级市场深度研究）。Use whenever the user wants to research, analyze, or value a specific publicly-traded stock — e.g.
jackson-video-resources/markov-hedge-fund-method
Detect the market regime (Bull / Bear / Sideways) for ANY asset and turn it into a tradeable signal or a risk filter.
24mlight/StockClaw
Get stock prices, quotes, fundamentals, earnings, options, dividends, and analyst ratings using Yahoo Finance.
liusai0820/Stock-Analysis-Skill
股票智能分析技能。输入股票代码（A股/港股/美股），自动完成： 1. An agent skill from liusai0820/Stock-Analysis-Skill.
Works with
Categories
基于邱国鹭《投资中最简单的事》方法论的股票价值分析器（v2.0 双层架构）。通过"三好原则"（好行业、好公司、好价格）系统评估一只股票是否值得投资。v2.0 在原定性框架之上注入一套可量化、可复现的硬模型层——反向 DCF 反解市场隐含增速、情景概率加权估值、EPV 盈利能力价值、分行业估值路由、杜邦三/五因子分解、ROIC vs WACC、Piotroski F-Score、Beneish…. Stock Value Analyzer is an agent skill from FunnyKun/stock-value-analyzer.
Stock Value Analyzer fits situations like: tasks that involve Financial modeling; tasks that involve Stock and market analysis.
Run `npx skills add FunnyKun/stock-value-analyzer --skill stock-value-analyzer -a claude-code`. Or copy the skill folder (the FunnyKun/stock-value-analyzer repository) into .claude/skills/stock-value-analyzer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add FunnyKun/stock-value-analyzer --skill stock-value-analyzer -a codex`. Or copy the skill folder (the FunnyKun/stock-value-analyzer repository) into .agents/skills/stock-value-analyzer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add FunnyKun/stock-value-analyzer --skill stock-value-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stock-value-analyzer, .gemini/skills/stock-value-analyzer, .github/skills/stock-value-analyzer and .opencode/skills/stock-value-analyzer in your project.
Going by SKILL.md and its folder, Stock Value Analyzer needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
No licence was found for Stock Value Analyzer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 3.3k tokens (SKILL.md is roughly 13k 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 14k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Stock Value Analyzer: Financial Data Collector (daymade/claude-code-skills, 1.4k stars), Stock Analysis (24mlight/StockClaw, 101 stars), Equity Research (rollingSirius/equity-research-skill, 452 stars) and Regime (jackson-video-resources/markov-hedge-fund-method, 483 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
FunnyKun (a GitHub user) maintains it in FunnyKun/stock-value-analyzer, which has 140 GitHub stars. The repository was last updated on June 23, 2026.
Source: FunnyKun/stock-value-analyzer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
