Financial Research
firecrawl/web-agent
Pulls a public company's latest 10-K or 10-Q figures and analyst consensus from SEC EDGAR and Yahoo Finance, then cross-checks the two sources.
Scraper de Macrotrends: financial statements, ratios, employee count con 15+ años de data histórica.
$ npx skills add gauss314/skills --skill macrotrends -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gauss314/skills macrotrends --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/gauss314/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/macrotrends .claude/skills/macrotrends && 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 "macrotrends" agent skill from https://github.com/gauss314/skills/tree/main/skills/macrotrends into .claude/skills/macrotrends/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "macrotrends", 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/gauss314/skills/tree/main/skills/macrotrendsType 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 gauss314/skills --skill macrotrends -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gauss314/skills macrotrends --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/macrotrends .agents/skills/macrotrends && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "macrotrends" agent skill from https://github.com/gauss314/skills/tree/main/skills/macrotrends into .agents/skills/macrotrends/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "macrotrends", 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 gauss314/skills --skill macrotrends -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gauss314/skills macrotrends --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/macrotrends .cursor/skills/macrotrends && 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 "macrotrends" agent skill from https://github.com/gauss314/skills/tree/main/skills/macrotrends into .cursor/skills/macrotrends/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "macrotrends", 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/gauss314/skills.git --path skills/macrotrends--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 gauss314/skills --skill macrotrends -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gauss314/skills macrotrends --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/macrotrends .gemini/skills/macrotrends && 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 "macrotrends" agent skill from https://github.com/gauss314/skills/tree/main/skills/macrotrends into .gemini/skills/macrotrends/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "macrotrends", 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 gauss314/skills macrotrendsInstalls 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 gauss314/skills --skill macrotrends -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/macrotrends .github/skills/macrotrends && 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 "macrotrends" agent skill from https://github.com/gauss314/skills/tree/main/skills/macrotrends into .github/skills/macrotrends/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "macrotrends", 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 gauss314/skills --skill macrotrends -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gauss314/skills macrotrends --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/macrotrends .opencode/skills/macrotrends && 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 "macrotrends" agent skill from https://github.com/gauss314/skills/tree/main/skills/macrotrends into .opencode/skills/macrotrends/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "macrotrends", 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.
macrotrendsScraper de Macrotrends: financial statements, ratios, employee count con 15+ años de data histórica.
Macrotrends is an agent skill from gauss314/skills. Scraper de Macrotrends: financial statements, ratios, employee count con 15+ años de data histórica. Sin API key.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/MARKETS_REFERENCE.md`, `references/STATEMENTS_REFERENCE.md` and `scripts/fetch_financials.py`).
It sits in Business, Finance & HR, covering Financial analysis and Web scraping. The repository describes itself as: Financial market data consumption skills for claude code and AI agents. The licence is MIT.
Read from SKILL.md and the folder at commit 5156f81. 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.
Links to these hosts (documentation or services it may open):
macrotrends.netFrom 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.
Macrotrends loads about 1.5k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 492 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.
The full file from gauss314/skills at commit 5156f81, republished under its MIT licence (© gauss314). 492 words, ~1,482 tokens.
.claude/skills/macrotrends/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Scraper de Macrotrends que extrae datos financieros históricos: income statements, balance sheets, cash flow statements, financial ratios y employee count con hasta 15+ años de data para ~6,500 tickers de mercados US (NYSE, NASDAQ, AMEX), incluyendo ADRs internacionales de +30 países.
Los datos vienen en JSON embebido en la página (no requiere API key, solo requests + BeautifulSoup).
pip install requests beautifulsoup4| Script | Descripción |
|---|---|
| fetch_financials.py | Script principal: statements, ratios, employees |
# Income statement anual
python scripts/fetch_financials.py --ticker NVDA --income
# Todo lo disponible (income + balance + cashflow + ratios + employees)
python scripts/fetch_financials.py --ticker AAPL --all
# Statements trimestrales
python scripts/fetch_financials.py --ticker MSFT --income --quarterly
python scripts/fetch_financials.py --ticker MSFT --balance --quarterly
# Ratios anuales o trimestrales
python scripts/fetch_financials.py --ticker NVDA --ratios
python scripts/fetch_financials.py --ticker GGAL --ratios --quarterly
# Employee count
python scripts/fetch_financials.py --ticker NVDA --employees
# Output a archivo JSON
python scripts/fetch_financials.py --ticker AAPL --all --output data.json
# Silencioso (solo JSON)
python scripts/fetch_financials.py --ticker NVDA --all --quiet| Flag | Data | Frecuencias | Períodos |
|---|---|---|---|
--income | Income Statement | Anual, Trimestral | ~15 años / ~60 quarters |
--balance | Balance Sheet | Anual, Trimestral | ~15 años / ~60 quarters |
--cashflow | Cash Flow | Solo anual | ~15 años |
--ratios | Financial Ratios (20 ratios) | Anual, Trimestral | ~15 años / ~60 quarters |
--employees | Employee Count | Anual | ~15 años |
--all | Todos los anteriores | Según --quarterly | - |
| Flag | Descripción |
|---|---|
--quarterly | Usa frecuencia trimestral (donde esté disponible) |
--output | Archivo JSON de salida (default: stdout) |
--slug | Slug manual (si el search no funciona) |
--delay | Delay entre requests (default: 3.0s) |
--quiet | Modo silencioso |
Macrotrends usa URLs con el formato /stocks/charts/{TICKER}/{SLUG}/financial-statements.
El slug se resuelve automáticamente via el search endpoint interno. Ejemplos:
| Ticker | Slug |
|---|---|
| AAPL | apple |
| NVDA | nvidia |
| MSFT | microsoft |
| GGAL | grupo-financiero-galicia-sa |
| TSLA | tesla |
Si el search falla, se puede pasar el slug manualmente:
python scripts/fetch_financials.py --ticker GGAL --slug grupo-financiero-galicia-sa --allRevenue, COGS, Gross Profit, R&D, SG&A, Operating Income, Net Income, EBITDA, EBIT, EPS, Shares Outstanding, etc.
Cash, Receivables, Inventory, Total Assets, Total Liabilities, Shareholders Equity, Debt, Retained Earnings, etc.
Net Income, Depreciation, Working Capital Changes, Capex, Free Cash Flow, Dividends, Stock Repurchases, etc.
Current Ratio, Debt/Equity, Gross/Operating/Net Margins, ROE, ROA, ROI, Book Value/Share, FCF/Share, etc.
Año a año, empleados totales.
Ver referencia completa de campos en references/STATEMENTS_REFERENCE.md.
Macrotrends cubre ~6,500 tickers que cotizan en NYSE, NASDAQ y AMEX (incluyendo ADRs).
| Tipo | Cantidad | Ejemplos |
|---|---|---|
| US Common Stocks | ~5,300 | AAPL, NVDA, MSFT |
| ADRs Internacionales | ~276+ | GGAL (Argentina), BABA (China), TM (Japón), PBR (Brasil), SAN (España), BP (UK) |
| ETFs & Fondos | ~91 | SPY, QQQ, VTI |
| Class A/B Shares | ~22 | BRK.A, BRK.B |
Ver detalle completo de mercados, ADRs por país y cómo buscar tickers en references/MARKETS_REFERENCE.md.
| Comportamiento | Recomendación |
|---|---|
| Requests seguidos sin delay | 429 Too Many Requests |
| Delay recomendado | 3 segundos entre requests |
| Tickers por ejecución | ~5-6 como máximo (para evitar bloqueo) |
| Backoff | Si recibís 429, esperá 30-60s |
| Error | Causa | Solución |
|---|---|---|
429 Too Many Requests | Rate limit | Aumentar --delay o esperar |
slug not found | No se pudo resolver el ticker | Usar --slug manualmente |
No data found for X | Endpoint no disponible | Verificar que el ticker existe en Macrotrends |
originalData not found | Página cambió estructura | Reportar issue |
skills/macrotrends/
├── SKILL.md # Este archivo
├── references/
│ ├── STATEMENTS_REFERENCE.md # Referencia de campos
│ └── MARKETS_REFERENCE.md # Cobertura de mercados y ADRs
└── scripts/
└── fetch_financials.py # Script principal© gauss314, 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 3 other files (scripts, references) in skills/macrotrends of gauss314/skills.
Open the folder on GitHubat commit 5156f81
Macrotrends 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 |
|---|---|---|---|---|---|---|
| Macrotrends this skillgauss314/skills | 247 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Financial Researchfirecrawl/web-agent | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Apify Buying Signal Detectionapify/awesome-skills | 265 | — | ~5.1k | Automated safety check: Notes | Apache-2.0 | |
| Business Overview Analysiszj-unicom-ai/UniEmployee | 359 | — | ~662 | Automated safety check: Pass | MIT | |
| Longbridge Earningshelsome/folio | 270 | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Financial Analyzinghuangjia2019/claude-code-engineering | 1.1k | — | ~474 | Automated safety check: Pass | None |
firecrawl/web-agent
Pulls a public company's latest 10-K or 10-Q figures and analyst consensus from SEC EDGAR and Yahoo Finance, then cross-checks the two sources.
apify/awesome-skills
Set up a recurring buying-signal detection pipeline that finds companies showing buying intent across three signal types — job postings (hiring for the persona), fundraising events (recent raises)…
zj-unicom-ai/UniEmployee
Produces a full business health analysis from sales, finance, inventory and customer CSV files: core KPIs, monthly trends, drill-downs and recommendations.
helsome/folio
Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio.
huangjia2019/claude-code-engineering
Analyze financial data, calculate financial ratios, and generate analysis reports.
djfksjd/ir-search
Surveys open Korean government startup and R&D support programs and sorts them by fit with your project, checking eligibility against the original notices.
gauss314/skills
Academic backtesting framework for quantitative research. An agent skill from gauss314/skills.
gauss314/skills
Datos de Google Finance via batchexecute (API RPC interna sin auth ni API key).
gauss314/skills
History of Market (historyofmarket.com) — API publica con 88 datasets historicos de indices US desde 1871.
gauss314/skills
Datos macro y sociales de Argentina via la API oficial Series de Tiempo del Estado (apis.datos.gob.ar/series).
gauss314/skills
Morningstar Screener via API JSON publica: descarga masiva de 53 universes (102K+ listings, 39 paises, NYSE/Nasdaq/BCBA/etc) con 33 campos (precio, market cap, ratios, retornos…
gauss314/skills
Pricing completo de opciones europeas y americanas. An agent skill from gauss314/skills.
Categories
Scraper de Macrotrends: financial statements, ratios, employee count con 15+ años de data histórica. Macrotrends is an agent skill from gauss314/skills. Scraper de Macrotrends: financial statements, ratios, employee count con 15+ años de data histórica.
Macrotrends fits situations like: tasks that involve Financial analysis; tasks that involve Web scraping.
Run `npx skills add gauss314/skills --skill macrotrends -a claude-code`. Or copy the skill folder (skills/macrotrends in gauss314/skills) into .claude/skills/macrotrends in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gauss314/skills --skill macrotrends -a codex`. Or copy the skill folder (skills/macrotrends in gauss314/skills) into .agents/skills/macrotrends 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 gauss314/skills --skill macrotrends -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/macrotrends, .gemini/skills/macrotrends, .github/skills/macrotrends and .opencode/skills/macrotrends in your project.
Going by SKILL.md and its folder, Macrotrends 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 names 1 domain. As links in the text: macrotrends.net. 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.
Macrotrends is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 5.9k 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 2.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Macrotrends: Financial Research (firecrawl/web-agent, 1.2k stars), Apify Buying Signal Detection (apify/awesome-skills, 265 stars), Business Overview Analysis (zj-unicom-ai/UniEmployee, 359 stars) and Longbridge Earnings (helsome/folio, 270 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
gauss314 (a GitHub user) maintains it in gauss314/skills, which has 247 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on June 14, 2026.
Source: gauss314/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.