Stock Analysis
24mlight/StockClaw
Analyze stocks and cryptocurrencies using Yahoo Finance data.
Build a pre-earnings briefing for a stock from Yahoo Finance data (yfinance): the upcoming report date and timing, consensus EPS and revenue estimates with their range, the beat/miss track record…
$ npx skills add himself65/finance-skills --skill earnings-preview -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install himself65/finance-skills earnings-preview --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/himself65/finance-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/market-analysis/skills/earnings-preview .claude/skills/earnings-preview && 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 "earnings-preview" agent skill from https://github.com/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview into .claude/skills/earnings-preview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-preview", 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/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-previewType 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 himself65/finance-skills --skill earnings-preview -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install himself65/finance-skills earnings-preview --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/himself65/finance-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/market-analysis/skills/earnings-preview .agents/skills/earnings-preview && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "earnings-preview" agent skill from https://github.com/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview into .agents/skills/earnings-preview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-preview", 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 himself65/finance-skills --skill earnings-preview -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install himself65/finance-skills earnings-preview --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/himself65/finance-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/market-analysis/skills/earnings-preview .cursor/skills/earnings-preview && 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 "earnings-preview" agent skill from https://github.com/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview into .cursor/skills/earnings-preview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-preview", 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/himself65/finance-skills.git --path plugins/market-analysis/skills/earnings-preview--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 himself65/finance-skills --skill earnings-preview -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install himself65/finance-skills earnings-preview --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/himself65/finance-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/market-analysis/skills/earnings-preview .gemini/skills/earnings-preview && 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 "earnings-preview" agent skill from https://github.com/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview into .gemini/skills/earnings-preview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-preview", 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 himself65/finance-skills earnings-previewInstalls 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 himself65/finance-skills --skill earnings-preview -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/himself65/finance-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/market-analysis/skills/earnings-preview .github/skills/earnings-preview && 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 "earnings-preview" agent skill from https://github.com/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview into .github/skills/earnings-preview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-preview", 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 himself65/finance-skills --skill earnings-preview -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install himself65/finance-skills earnings-preview --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/himself65/finance-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/market-analysis/skills/earnings-preview .opencode/skills/earnings-preview && 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 "earnings-preview" agent skill from https://github.com/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview into .opencode/skills/earnings-preview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-preview", 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.
earnings-previewBuild a pre-earnings briefing for a stock from Yahoo Finance data (yfinance): the upcoming report date and timing, consensus EPS and revenue estimates with their range, the beat/miss track record…
Earnings Preview is an agent skill from himself65/finance-skills. Build a pre-earnings briefing for a stock from Yahoo Finance data (yfinance): the upcoming report date and timing, consensus EPS and revenue estimates with their range, the beat/miss track record, analyst ratings and price targets, and what to watch in the print. Use this skill whenever the user is preparing for an upcoming earnings report or asks what the street expects — consensus or whisper numbers, EPS expectations, whether a company will beat, an earnings setup, or an earnings-season preview — and whenever a…
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `README.md` and `references/api_reference.md`).
It sits in Business, Finance & HR, covering Stock and market analysis. It works with yfinance. The repository describes itself as: A collection of skills for AI financial analysis. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 01fc7b4. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom 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.
Earnings Preview loads about 1.4k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 169 tokens; SKILL.md has 565 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); files beside SKILL.md are not scanned.
The full file from himself65/finance-skills at commit 01fc7b4, republished under its MIT licence (© himself65). 565 words, ~1,446 tokens.
.claude/skills/earnings-preview/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Generates a pre-earnings briefing using Yahoo Finance data via yfinance. Pulls together upcoming earnings date, consensus estimates, historical accuracy, analyst sentiment, and key financial context — everything you need before an earnings call.
Important: Data is for research and educational purposes only. Not financial advice. yfinance is not affiliated with Yahoo, Inc.
Current environment status:
!`python3 -c "exec('try:\n import yfinance\n print(\'yfinance \' + yfinance.__version__ + \' installed\')\nexcept Exception:\n print(\'YFINANCE_NOT_INSTALLED\')')"`If YFINANCE_NOT_INSTALLED, install it:
import subprocess, sys
subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "yfinance"])If already installed, skip to the next step.
Extract the ticker symbol from the user's request. If they mention a company name without a ticker, look it up. Then fetch all relevant data in one script to minimize API calls.
import yfinance as yf
ticker = yf.Ticker("AAPL") # replace with actual ticker
# --- Core data ---
info = ticker.info
calendar = ticker.calendar
earnings_dates = ticker.get_earnings_dates(limit=8) # report timestamps; the upcoming one has no Reported EPS yet
hist = ticker.history(period="1mo") # recent price performance
# --- Estimates ---
earnings_est = ticker.earnings_estimate
revenue_est = ticker.revenue_estimate
# --- Historical track record ---
earnings_hist = ticker.earnings_history
# --- Analyst sentiment ---
price_targets = ticker.analyst_price_targets
recommendations = ticker.recommendations
# --- Recent financials for context ---
quarterly_income = ticker.quarterly_income_stmt
quarterly_cashflow = ticker.quarterly_cashflow| Data Source | Key Fields | Purpose |
|---|---|---|
calendar | Earnings Date, Ex-Dividend Date | When earnings are and key dates |
get_earnings_dates() | Earnings Date (tz-aware timestamp), EPS Estimate, Reported EPS | Report timing: the upcoming row has no Reported EPS; a time at or after 16:00 ET means after the close, earlier times mean before the open |
earnings_estimate | avg, low, high, numberOfAnalysts, yearAgoEps, growth (for 0q, +1q, 0y, +1y) | Consensus EPS expectations |
revenue_estimate | avg, low, high, numberOfAnalysts, yearAgoRevenue, growth | Revenue expectations |
earnings_history | epsEstimate, epsActual, epsDifference, surprisePercent | Beat/miss track record (indexed by fiscal quarter-end, oldest first) |
analyst_price_targets | current, low, high, mean, median | Street price targets |
recommendations | Buy/Hold/Sell counts | Sentiment distribution |
quarterly_income_stmt | TotalRevenue, NetIncome, BasicEPS | Recent trajectory |
The briefing should let the user see the setup at a glance. Cover these five areas; if the data for one is missing, say so in a line rather than dropping it.
Open with the headline — the report date and a one-line read of the setup — then the five areas above, using tables where they help. Close with a short read of the overall setup drawn from the estimates, track record, and sentiment, framed as what the street expects rather than a recommendation.
Include the caveats that apply: estimates can change until the report date, past beats don't guarantee future ones, Yahoo Finance consensus can lag real-time providers by a few hours, and this is not financial advice.
references/api_reference.md — Detailed yfinance API reference for earnings and estimate methodsRead the reference file when you need exact method signatures or edge case handling.
© himself65, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in plugins/market-analysis/skills/earnings-preview of himself65/finance-skills.
Open the folder on GitHubat commit 01fc7b4
Earnings Preview 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 |
|---|---|---|---|---|---|---|
| Earnings Preview this skillhimself65/finance-skills | 3.4k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Stock Analysis24mlight/StockClaw | 101 | 2 repos | ~2k | Automated safety check: Notes | MIT | |
| Regimejackson-video-resources/markov-hedge-fund-method | 483 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Stock Value AnalyzerFunnyKun/stock-value-analyzer | 140 | — | ~3.3k | Automated safety check: Pass | None | |
| Yahoo Finance24mlight/StockClaw | 101 | 2 repos | ~1.1k | Automated safety check: Notes | MIT | |
| Stock Analysisliusai0820/Stock-Analysis-Skill | 141 | — | ~904 | Automated safety check: Notes | None |
24mlight/StockClaw
Analyze stocks and cryptocurrencies using Yahoo Finance data.
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.
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…
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.
guhcostan/b3analysis
Load this skill when analyzing Brazilian stocks listed on B3, building investment portfolios with Brazilian equities, or interpreting data from yfinance, BCB API, and Google News PT-BR.
himself65/finance-skills
Estimate a public company's intrinsic value with DCF, relative (peer multiple), and sum-of-the-parts (SOTP) methods, then blend them into an implied share price with upside/downside vs the market…
himself65/finance-skills
Read Discord for financial research through opencli connected to the Discord desktop app: servers, channels, members, recent messages in the active channel, and message search.
himself65/finance-skills
Analyze a company's most recent (or a specified past) earnings report from Yahoo Finance data (yfinance): actual vs estimated EPS, surprise size, revenue and margin trends, and the stock's price…
himself65/finance-skills
Analyze sell-side analyst estimates and how they are changing, using Yahoo Finance data (yfinance): EPS and revenue consensus by period, estimate ranges and dispersion, revision trends over…
himself65/finance-skills
Fetch normalized stock sentiment across Reddit, X.com, financial news, and Polymarket from the Adanos Finance API: buzz score, bullish percentage, mention or trade counts, and trend.
himself65/finance-skills
Query Fintel (fintel.io) institutional market data through its REST API or official MCP server.
Works with
Categories
Build a pre-earnings briefing for a stock from Yahoo Finance data (yfinance): the upcoming report date and timing, consensus EPS and revenue estimates with their range, the beat/miss track record…. Earnings Preview is an agent skill from himself65/finance-skills. Build a pre-earnings briefing for a stock from Yahoo Finance data (yfinance): the upcoming report date and timing, consensus EPS and revenue estimates with their range, the beat/miss track record, analyst ratings and price targets, and what to watch in the print.
Earnings Preview fits situations like: the user is preparing for an upcoming earnings report; asks what the street expects — consensus; whisper numbers; EPS expectations.
Run `npx skills add himself65/finance-skills --skill earnings-preview -a claude-code`. Or copy the skill folder (plugins/market-analysis/skills/earnings-preview in himself65/finance-skills) into .claude/skills/earnings-preview in your project. Claude Code loads it when a task matches its description.
Run `npx skills add himself65/finance-skills --skill earnings-preview -a codex`. Or copy the skill folder (plugins/market-analysis/skills/earnings-preview in himself65/finance-skills) into .agents/skills/earnings-preview 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 himself65/finance-skills --skill earnings-preview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/earnings-preview, .gemini/skills/earnings-preview, .github/skills/earnings-preview and .opencode/skills/earnings-preview in your project.
SKILL.md names no scripts, command-line tools or credentials: Earnings Preview is instructions for the agent only. Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: github.com. 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. Review the folder before installing.
Earnings Preview is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.8k 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 1.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Earnings Preview: Stock Analysis (24mlight/StockClaw, 101 stars), Regime (jackson-video-resources/markov-hedge-fund-method, 483 stars), Stock Value Analyzer (FunnyKun/stock-value-analyzer, 140 stars) and Yahoo Finance (24mlight/StockClaw, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
himself65 (a GitHub user) maintains it in himself65/finance-skills, which has 3,384 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 5, 2026.
Source: himself65/finance-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.