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 CompaniesMarketCap: rankings (marketcap, earnings, revenue, employees, ratios), stock history y ETF holdings.
$ npx skills add gauss314/skills --skill companiesmarketcap -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gauss314/skills companiesmarketcap --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/companiesmarketcap .claude/skills/companiesmarketcap && 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 "companiesmarketcap" agent skill from https://github.com/gauss314/skills/tree/main/skills/companiesmarketcap into .claude/skills/companiesmarketcap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "companiesmarketcap", 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/companiesmarketcapType 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 companiesmarketcap -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gauss314/skills companiesmarketcap --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/companiesmarketcap .agents/skills/companiesmarketcap && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "companiesmarketcap" agent skill from https://github.com/gauss314/skills/tree/main/skills/companiesmarketcap into .agents/skills/companiesmarketcap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "companiesmarketcap", 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 companiesmarketcap -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gauss314/skills companiesmarketcap --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/companiesmarketcap .cursor/skills/companiesmarketcap && 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 "companiesmarketcap" agent skill from https://github.com/gauss314/skills/tree/main/skills/companiesmarketcap into .cursor/skills/companiesmarketcap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "companiesmarketcap", 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/companiesmarketcap--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 companiesmarketcap -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gauss314/skills companiesmarketcap --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/companiesmarketcap .gemini/skills/companiesmarketcap && 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 "companiesmarketcap" agent skill from https://github.com/gauss314/skills/tree/main/skills/companiesmarketcap into .gemini/skills/companiesmarketcap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "companiesmarketcap", 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 companiesmarketcapInstalls 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 companiesmarketcap -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/companiesmarketcap .github/skills/companiesmarketcap && 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 "companiesmarketcap" agent skill from https://github.com/gauss314/skills/tree/main/skills/companiesmarketcap into .github/skills/companiesmarketcap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "companiesmarketcap", 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 companiesmarketcap -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 companiesmarketcap --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/companiesmarketcap .opencode/skills/companiesmarketcap && 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 "companiesmarketcap" agent skill from https://github.com/gauss314/skills/tree/main/skills/companiesmarketcap into .opencode/skills/companiesmarketcap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "companiesmarketcap", 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.
companiesmarketcapScraper de CompaniesMarketCap: rankings (marketcap, earnings, revenue, employees, ratios), stock history y ETF holdings.
Companiesmarketcap is an agent skill from gauss314/skills. Scraper de CompaniesMarketCap: rankings (marketcap, earnings, revenue, employees, ratios), stock history y ETF holdings. Sin API key.
Its SKILL.md is about 970 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/REFERENCE.md` and `scripts/fetch_cmc.py`).
It sits in Business, Finance & HR, covering Stock and market 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):
companiesmarketcap.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.
Companiesmarketcap loads about 970 tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 38 tokens; SKILL.md has 279 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). 279 words, ~970 tokens.
.claude/skills/companiesmarketcap/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Scraper de CompaniesMarketCap que extrae rankings financieros (market cap, earnings, revenue, employees, P/E, márgenes, activos, deuda, cash), marketcap histórico de stocks y ETF holdings.
Usa el sistema de CSV download nativo del sitio (?download=csv) — no requiere API key y es más mantenible que scrapear HTML.
pip install requests beautifulsoup4| Script | Descripción |
|---|---|
| fetch_cmc.py | Script principal: rankings, stock history, ETF holdings |
# Ranking de market cap (default)
python scripts/fetch_cmc.py --rankings
# Ranking de earnings
python scripts/fetch_cmc.py --rankings --metric earnings
# Ranking de revenue (top 10)
python scripts/fetch_cmc.py --rankings --metric revenue --limit 10
# Stock marketcap histórico
python scripts/fetch_cmc.py --stock NVDA
python scripts/fetch_cmc.py --stock GGAL
# ETF holdings
python scripts/fetch_cmc.py --etf SPY --holdings
# Todo junto + output a JSON
python scripts/fetch_cmc.py --stock AAPL --rankings --output aapl_full.json
# Modo silencioso (solo JSON)
python scripts/fetch_cmc.py --rankings --metric earnings --limit 5 --quiet| Flag | Data | Método | Detalle |
|---|---|---|---|
--rankings | Ranking list | CSV download | 12 métricas + ETFs, ~10,852 empresas |
--stock TICKER | Marketcap histórico | HTML | 28-31 años por stock |
--etf TICKER --holdings | ETF holdings | HTML | ~505 posiciones (SPY) |
--etf TICKER | ETF summary | HTML | Información del ETF |
--metric)| Métrica | Descripción |
|---|---|
marketcap (default) | Market Capitalization |
earnings | Earnings (TTM) |
revenue | Revenue (TTM) |
employees | Employee count |
pe_ratio | Price/Earnings ratio |
operating_margin | Operating margin (TTM) |
total_assets | Total assets |
net_assets | Net assets |
liabilities | Total liabilities |
debt | Total debt |
cash | Cash on hand |
pb_ratio | Price/Book ratio |
etfs | ETF market caps |
| Flag | Descripción |
|---|---|
--limit N | Limitar a N filas en rankings |
--output archivo.json | Guardar output a archivo |
--delay N | Delay entre requests (default: 2.0s) |
--quiet | Modo silencioso (solo JSON) |
El scraper resuelve automáticamente el slug de la URL a partir del nombre de la compañía en el CSV:
| Ticker | Nombre → Slug |
|---|---|
| NVDA | NVIDIA → nvidia |
| AAPL | Apple → apple |
| GGAL | Galicia Financial Group → galicia-financial-group |
| SPY | SPDR S&P 500 ETF → spdr-sp-500-etf |
| BRK-B | Berkshire Hathaway → berkshire-hathaway |
skills/companiesmarketcap/
├── SKILL.md # Este archivo
├── references/
│ └── REFERENCE.md # Documentación completa
└── scripts/
└── fetch_cmc.py # Script principal📖 Documentación detallada: Consultá references/REFERENCE.md para la documentación exhaustiva de cada endpoint, columnas, ejemplos y consideraciones técnicas.
© 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 2 other files (scripts, references) in skills/companiesmarketcap of gauss314/skills.
Open the folder on GitHubat commit 5156f81
Companiesmarketcap 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 |
|---|---|---|---|---|---|---|
| Companiesmarketcap this skillgauss314/skills | 248 | — | ~970 | Automated safety check: Pass | MIT | |
| Financial Researchfirecrawl/web-agent | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Investor Call Prepgooseworks-ai/goose-skills | 1.2k | 1 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Regimejackson-video-resources/markov-hedge-fund-method | 484 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Apify Buying Signal Detectionapify/awesome-skills | 266 | — | ~5.1k | Automated safety check: Notes | Apache-2.0 | |
| One-Line Stock Analysis Reportsmingli30119/stock-analysis | 619 | — | ~8.6k | Automated safety check: Warn | MIT |
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.
gooseworks-ai/goose-skills
Prepare for investor calls by pulling upcoming meetings from Google Calendar, deeply researching each investor and their firm (website scraping, portfolio analysis, thesis extraction), checking for…
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.
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)…
mingli30119/stock-analysis
Turns a single request like 'analyze this stock' into a full research report, pulling 30-plus data sources into an interactive HTML page with charts.
sanjay3290/ai-skills
Delegate complex, long-running tasks to Manus AI agent for autonomous execution.
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 CompaniesMarketCap: rankings (marketcap, earnings, revenue, employees, ratios), stock history y ETF holdings. Companiesmarketcap is an agent skill from gauss314/skills. Scraper de CompaniesMarketCap: rankings (marketcap, earnings, revenue, employees, ratios), stock history y ETF holdings.
Companiesmarketcap fits situations like: tasks that involve Stock and market analysis; tasks that involve Web scraping.
Run `npx skills add gauss314/skills --skill companiesmarketcap -a claude-code`. Or copy the skill folder (skills/companiesmarketcap in gauss314/skills) into .claude/skills/companiesmarketcap in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gauss314/skills --skill companiesmarketcap -a codex`. Or copy the skill folder (skills/companiesmarketcap in gauss314/skills) into .agents/skills/companiesmarketcap 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 companiesmarketcap -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/companiesmarketcap, .gemini/skills/companiesmarketcap, .github/skills/companiesmarketcap and .opencode/skills/companiesmarketcap in your project.
Going by SKILL.md and its folder, Companiesmarketcap 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: companiesmarketcap.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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Companiesmarketcap is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 970 tokens (SKILL.md is roughly 3.9k 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 2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Companiesmarketcap: Financial Research (firecrawl/web-agent, 1.2k stars), Investor Call Prep (gooseworks-ai/goose-skills, 1.2k stars), Regime (jackson-video-resources/markov-hedge-fund-method, 484 stars) and Apify Buying Signal Detection (apify/awesome-skills, 266 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 248 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.