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Data financiera de 120K+ stocks globales: snowflake scores, valuation, financial health, dividend analysis, insider transactions.
Install Simplywallst
$ npx skills add gauss314/skills --skill simplywallst -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gauss314/skills simplywallst --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/simplywallst .claude/skills/simplywallst && 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 "simplywallst" agent skill from https://github.com/gauss314/skills/tree/main/skills/simplywallst into .claude/skills/simplywallst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simplywallst", 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/simplywallstType 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 simplywallst -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gauss314/skills simplywallst --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/simplywallst .agents/skills/simplywallst && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "simplywallst" agent skill from https://github.com/gauss314/skills/tree/main/skills/simplywallst into .agents/skills/simplywallst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simplywallst", 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 simplywallst -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gauss314/skills simplywallst --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/simplywallst .cursor/skills/simplywallst && 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 "simplywallst" agent skill from https://github.com/gauss314/skills/tree/main/skills/simplywallst into .cursor/skills/simplywallst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simplywallst", 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/simplywallst--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 simplywallst -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gauss314/skills simplywallst --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/simplywallst .gemini/skills/simplywallst && 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 "simplywallst" agent skill from https://github.com/gauss314/skills/tree/main/skills/simplywallst into .gemini/skills/simplywallst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simplywallst", 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 simplywallstInstalls 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 simplywallst -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/simplywallst .github/skills/simplywallst && 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 "simplywallst" agent skill from https://github.com/gauss314/skills/tree/main/skills/simplywallst into .github/skills/simplywallst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simplywallst", 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 simplywallst -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 simplywallst --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/simplywallst .opencode/skills/simplywallst && 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 "simplywallst" agent skill from https://github.com/gauss314/skills/tree/main/skills/simplywallst into .opencode/skills/simplywallst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simplywallst", 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
simplywallst- GitHub stars
- 247
- Token cost
- ~2.9k tokens
- SKILL.md length
- 1,055 words
- Files
- 4 (incl. scripts, references, assets)
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- MIT
At a glance
Data financiera de 120K+ stocks globales: snowflake scores, valuation, financial health, dividend analysis, insider transactions.
- Works in 3 steps: Fase 1: Obtiene top 10K con la query… → Fase 2: Para cada exchange, fetchea… → Dedup: Combina todo y elimina duplicados…
- Tasks that involve Data warehousing
- SKILL.md covers ⚠️ Aviso Legal, Instalación, Scripts and Uso rápido, plus 8 more sections
- Runs Python scripts from its folder; calls python and pip
What it does
Simplywallst is an agent skill from gauss314/skills. Data financiera de 120K+ stocks globales: snowflake scores, valuation, financial health, dividend analysis, insider transactions. Sin API key.
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts, reference files and assets (for example `references/REFERENCE.md` and `scripts/fetch_sws.py`).
It sits in Databases, covering Data warehousing. It works with Snowflake. The repository describes itself as: Financial market data consumption skills for claude code and AI agents. The licence is MIT.
When your agent uses it
- Tasks that involve Data warehousing
Example prompts
- “/simplywallst”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Fase 1: Obtiene top 10K con la query default → extrae los exchanges disponibles
- Fase 2: Para cada exchange, fetchea todas las empresas (cada exchange tiene < 10K registros)
- Dedup: Combina todo y elimina duplicados por unique_symbol (exchange + ticker)
What it can do on your machine
Read from SKILL.md and the folder at commit 5156f81. 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:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
simplywall.st
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
Simplywallst loads about 2.9k tokens when it runs, and up to ~8.4k if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 1,055 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 gauss314/skills at commit 5156f81, republished under its MIT licence (© gauss314). 1,055 words, ~2,911 tokens.
Download SKILL.mdSave it as
.claude/skills/simplywallst/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- simplywallst
- description
- Data financiera de 120K+ stocks globales: snowflake scores, valuation, financial health, dividend analysis, insider transactions. Sin API key.
- license
- MIT
SimplyWallSt — Stock Research & Snowflake Scores
Extrae datos financieros de SimplyWallSt usando su API REST interna (simplywall.st/api/...). Sin Cloudflare, sin API key, sin registro.
120,000+ stocks globales con snowflake scores (value, income, health, past, future, management), análisis de valuación, dividendos históricos y proyectados, score de salud financiera, insider transactions, y más.
⚠️ Aviso Legal
- SimplyWallSt no tiene API pública oficial. Esta skill usa endpoints internos del frontend web.
- Respetá los términos de servicio del sitio.
- Implementá rate limiting (mín 300ms entre requests).
Instalación
pip install requestsScripts
| Script | Descripción |
|---|---|
| fetch_sws.py | Cliente completo: listar tickers, company detail, snowflake scores, análisis |
Uso rápido
# PRIMERO: Descargar snapshot de tickers (1 vez sola, ~5 min)
python scripts/fetch_sws.py --download-snapshot
# Luego: las búsquedas por ticker usan el snapshot → instantáneas
python scripts/fetch_sws.py --ticker GGAL
# Buscar por nombre
python scripts/fetch_sws.py --search "Galicia"
# Full data con todos los includes (info, score, analysis, extended, raw_data, insider)
python scripts/fetch_sws.py --ticker GGAL --full
# Listar empresas (grid)
python scripts/fetch_sws.py --grid --size 10
# Listar solo tickers disponibles (Argentina)
python scripts/fetch_sws.py --list-tickers --country AR --output tickers_ar.csv
# Snowflake scores de múltiples tickers
python scripts/fetch_sws.py --ticker GGAL,BMA,SUPV --score
# Output a archivo
python scripts/fetch_sws.py --ticker GGAL --full --output ggal_data.jsonEndpoints descubiertos
| Endpoint | Método | Data | Status |
|---|---|---|---|
/api/grid/filter?include=info,score,grid | POST | Listado de empresas con scores y métricas | ✅ Funciona |
/api/company{canonical_url} | GET | Detail completo de una empresa | ✅ Funciona |
Includes disponibles para Company Detail
| Include | Data |
|---|---|
info | Perfil corporativo, industria, país, empleados, CEO |
score | Snowflake scores (value, income, health, past, future, management) |
analysis | Precio, market cap, P/E, P/B, ROE, ROA, EPS, dividendos, growth |
analysis.extended | Dividendos históricos, payout ratio, buyback, future EPS |
analysis.extended.raw_data | Financial statements históricos |
analysis.extended.raw_data.insider_transactions | Insider trading |
Cobertura
| Característica | Detalle |
|---|---|
| Stocks globales | 120,000+ en 90+ mercados |
| Mercados Argentina | ✅ BASE (BCBA) tickers: GGAL, BMA, SUPV, YPFD, etc. |
| Mercados US | ✅ NasdaqGS, NYSE, AMEX |
| Actualización | Diaria (precio de cierre) |
| Snowflake scores | Value, Income, Health, Past, Future, Management |
| Dividendos | Histórico 19+ años, proyecciones futuras |
| Insider transactions | ✅ (cuando están disponibles) |
| Analistas | Consensus count y price targets |
Flags del script
| Flag | Descripción |
|---|---|
--ticker TICKER | Ticker(s) separados por coma: GGAL o GGAL,BMA |
--search QUERY | Buscar por nombre |
--full | Todos los includes disponibles |
--score | Solo snowflake scores |
--info | Solo info corporativa |
--analysis | Solo métricas de análisis |
--extended | Incluir data extendida |
--raw-data | Incluir raw data financiera |
--grid | Listar companies via grid/filter |
--list-tickers | Listar tickers disponibles |
--country AR | Filtrar por país (solo --grid) |
--size N | Tamaño de página (default: 24) |
--limit N | Límite de resultados |
--download-snapshot | Descargar snapshot completo de tickers a assets/ |
--snapshot PATH | Usar snapshot específico (default: auto-buscar en assets/) |
--output archivo.json | Guardar output |
--csv | Output en CSV |
--delay N | Delay entre requests (default: 0.3s) |
Ejemplos por tipo de data
Snowflake Scores
python scripts/fetch_sws.py --ticker GGAL --score
# → value=0, income=0, health=4, past=1, future=5, management=0
# → "High growth potential with adequate balance sheet."Info Corporativa
python scripts/fetch_sws.py --ticker GGAL --info
# → name, industry (Banks), country (AR), employees (10032), year_founded (1905)Análisis + Dividendos
python scripts/fetch_sws.py --ticker GGAL --analysis --extended
# → P/E, P/B, ROE, ROA, EPS, Debt/Equity, market cap
# → dividend history, payout ratios, future yieldTodos los datos
python scripts/fetch_sws.py --ticker GGAL --fullTrabajar con el grid/filter
El grid/filter devuelve companies listas para consumir con info + scores + grid metrics en un solo request. Ideal para screener:
# Todas las empresas (default: market cap desc)
python scripts/fetch_sws.py --grid --limit 50
# Top 10 Argentina
python scripts/fetch_sws.py --grid --size 10Nota: El grid/filter no permite filtros por país o ticker directamente. Usar
--list-tickers+--countrypara filtrar client-side.
Snapshot de tickers (recomendado)
El snapshot es un archivo CSV local con todos los listings disponibles que permite resolver tickers al instante sin iterar el grid.
Descargar el snapshot (1 vez, ~10 min)
# Descarga completa (~10 min, genera assets/YY-MM-DD-ticker-snapshot.csv)
python scripts/fetch_sws.py --download-snapshotCómo funciona el snapshot completo
El API tiene un límite de 10,000 registros por query. Para obtener todos, el script usa particionado por exchange:
- Fase 1: Obtiene top 10K con la query default → extrae los exchanges disponibles
- Fase 2: Para cada exchange, fetchea todas las empresas (cada exchange tiene < 10K registros)
- Dedup: Combina todo y elimina duplicados por
unique_symbol(exchange + ticker)
Resultados del snapshot 26-06-04
| Métrica | Valor |
|---|---|
Total listings únicos (unique_symbol) | 78,454 |
| Países cubiertos | 83 |
| Exchanges | 106 |
| Duplicados en el proceso de dedup | 0 |
| Requests totales | ~944 |
| Duración | ~11 min |
| Tamaño del CSV | ~6 MB |
¿Por qué 78K y no 54K? El API reporta
total_records=54,530para la query default (que filtra por scores mínimos). Pero al particionar por exchange con reglas más simples (exchange_symbol=X+primary_flag=true), se obtienen muchos más — ETFs, fondos, companies sin scores, y ADRs. Las 54K son solo las que cumplen los filtros default.
Verificación de calidad de datos
| Control | Resultado |
|---|---|
unique_symbol duplicados | 0 — dedup 100% efectivo |
| Mismo ticker + mismo exchange repetido | 3 casos — todos son falsos positivos (leading zeros: 115 ≠ 0115) |
| Tickers cross-listed (múltiples exchanges) | 8,751 — legítimo, una empresa listada en varios mercados |
| Países con más listings | US (16,274), CN (7,016), IN (6,074), CA (5,221), JP (4,764) |
Sin snapshot
Sin snapshot, --ticker GGAL tarda ~30s iterando el grid. Con snapshot, es instantáneo.
Show full SKILL.md (421 more words)Show less
Formato del snapshot
| Campo | Descripción |
|---|---|
ticker_symbol | Símbolo (GGAL, BMA, MSFT, etc.) |
name | Nombre de la empresa |
exchange_symbol | Exchange (BASE, NasdaqGS, NYSE) |
canonical_url | Ruta API para company detail |
unique_symbol | Exchange + Ticker (clave única) |
country | Código ISO país |
industry | Industria |
employees | N° empleados |
year_founded | Año fundación |
score_value/income/health/past/future/management/total | Snowflake scores |
share_price | Precio actual |
market_cap | Market cap (moneda local) |
pe_ratio, pb_ratio | Múltiplos |
Snapshot específico
python scripts/fetch_sws.py --snapshot assets/26-06-04-ticker-snapshot.csv --ticker GGALMapa Exchange → País
| Exchange | País | Listings | Descripción |
|---|---|---|---|
OTCPK | US | 6,138 | OTC Markets Pink (EEUU) |
TSE | JP | 4,693 | Tokyo Stock Exchange (Japón) |
BSE | IN | 3,833 | BSE India (antes Bombay SE) |
SZSE | CN | 3,723 | Shenzhen Stock Exchange (China) |
SHSE | CN | 3,293 | Shanghai Stock Exchange (China) |
SEHK | HK | 3,019 | Hong Kong Exchange |
NYSE | US | 2,574 | New York Stock Exchange |
ASX | AU | 2,527 | Australian Securities Exchange |
TSX | CA | 2,381 | Toronto Stock Exchange (Canadá) |
NasdaqGM | US | 2,304 | NASDAQ Global Market |
NSEI | IN | 2,241 | National Stock Exchange of India |
KOSE | KR | 2,075 | Korea Exchange (KOSPI) |
TSXV | CA | 1,999 | TSX Venture Exchange (Canadá) |
KOSDAQ | KR | 1,997 | KOSDAQ (Corea) |
LSE | GB | 1,963 | London Stock Exchange |
NasdaqCM | US | 1,854 | NASDAQ Capital Market |
BATS | US | 1,575 | BATS Exchange (EEUU) |
NasdaqGS | US | 1,532 | NASDAQ Global Select |
BME | ES | 1,514 | Bolsas y Mercados Españoles |
TPEX | TW | 1,430 | Taipei Exchange (Taiwán) |
AIM | GB | 1,310 | AIM (London Stock Exchange) |
TWSE | TW | 1,292 | Taiwan Stock Exchange |
KLSE | MY | 1,172 | Bursa Malaysia |
ENXTPA | FR | 1,147 | Euronext Paris |
XTRA | DE | 1,135 | Xetra (Deutsche Börse) |
BOVESPA | BR | 1,120 | B3 (Brasil) |
TASE | IL | 1,029 | Tel Aviv Stock Exchange |
SET | TH | 993 | Stock Exchange of Thailand |
IDX | ID | 985 | Indonesia Stock Exchange |
OM | SE | 852 | OMX Nordic (Estocolmo) |
WSE | PL | 849 | Warsaw Stock Exchange |
OB | NO | 811 | Oslo Børs (Noruega) |
CNSX | CA | 777 | Canadian Securities Exchange |
JSE | ZA | 754 | Johannesburg Stock Exchange |
DB | DE | 648 | Deutsche Börse (Frankfurt) |
SNSE | CL | 647 | Santiago Stock Exchange (Chile) |
CPSE | DK | 636 | Copenhagen Stock Exchange |
BIT | IT | 625 | Borsa Italiana |
SWX | CH | 588 | SIX Swiss Exchange |
IBSE | IE | 577 | Irish Stock Exchange |
HOSE | VN | 572 | Ho Chi Minh Stock Exchange |
HNX | VN | 417 | Hanoi Stock Exchange |
SGX | SG | 398 | Singapore Exchange |
DSE | BD | 443 | Dhaka Stock Exchange |
DFM | AE | 70 | Dubai Financial Market |
ADX | AE | 85 | Abu Dhabi Securities Exchange |
BASE | AR | 84 | Bolsa de Buenos Aires (Argentina) |
BMV | MX | 147 | Bolsa Mexicana de Valores |
BVL | PE | 102 | Bolsa de Valores de Lima (Perú) |
BVC | CO | 56 | Bolsa de Valores de Colombia |
| ... | ... | ... | 106 exchanges en total |
El mapping completo de los 106 exchanges está en references/REFERENCE.md.
Estructura del skill
skills/simplywallst/
├── SKILL.md # Este archivo
├── references/
│ └── REFERENCE.md # Documentación completa de endpoints y data
├── scripts/
│ └── fetch_sws.py # Script principal
└── assets/
└── YY-MM-DD-ticker-snapshot.csv # Snapshot de tickers (generado)📖 Documentación detallada: Consultá references/REFERENCE.md para la documentación exhaustiva con ejemplos de respuesta, campos, 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
Files
SKILL.md and 3 other files (scripts, references, assets) in skills/simplywallst of gauss314/skills.
- SKILL.md
- assets/26-06-04-ticker-snapshot.csv
- references/REFERENCE.md
- scripts/fetch_sws.py
Open the folder on GitHubat commit 5156f81
Compare with similar skills
Simplywallst 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 |
|---|---|---|---|---|---|---|
| Simplywallst this skillgauss314/skills | 247 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Caspian DiscordTryCaspian/caspian-sdk | 973 | — | ~323 | Automated safety check: Pass | Apache-2.0 | |
| Write Script Snowflakewindmill-labs/windmill | 18k | — | ~2.2k | Automated safety check: Pass | Custom licence | |
| Pure Lsp Execute Parallelfinos/legend-engine | 113 | — | ~927 | Automated safety check: Pass | Apache-2.0 | |
| Plot Structuredanjdewhurst/story-skills | 283 | 1 repos | ~4k | Automated safety check: Notes | MIT | |
| Snowflakeadobe/skills | 197 | — | ~3.7k | Automated safety check: Pass | Apache-2.0 |
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Works with
Categories
Questions about Simplywallst
What does Simplywallst do?
Data financiera de 120K+ stocks globales: snowflake scores, valuation, financial health, dividend analysis, insider transactions. Simplywallst is an agent skill from gauss314/skills. Data financiera de 120K+ stocks globales: snowflake scores, valuation, financial health, dividend analysis, insider transactions.
When should I use Simplywallst?
Simplywallst fits situations like: tasks that involve Data warehousing.
How do I install Simplywallst in Claude Code?
Run `npx skills add gauss314/skills --skill simplywallst -a claude-code`. Or copy the skill folder (skills/simplywallst in gauss314/skills) into .claude/skills/simplywallst in your project. Claude Code loads it when a task matches its description.
How do I install Simplywallst in Codex?
Run `npx skills add gauss314/skills --skill simplywallst -a codex`. Or copy the skill folder (skills/simplywallst in gauss314/skills) into .agents/skills/simplywallst in your project. Codex loads it when a task matches its description.
Can I use Simplywallst 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 gauss314/skills --skill simplywallst -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/simplywallst, .gemini/skills/simplywallst, .github/skills/simplywallst and .opencode/skills/simplywallst in your project.
What does Simplywallst need to run?
Going by SKILL.md and its folder, Simplywallst needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
Does Simplywallst access the network?
SKILL.md names 1 domain. As links in the text: simplywall.st. This is read from the text; nothing was executed.
Is Simplywallst 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 Simplywallst use?
Simplywallst is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Simplywallst use?
About 2.9k tokens (SKILL.md is roughly 12k 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 5.5k tokens, read only when the agent opens those files.
What are the alternatives to Simplywallst?
Skills that share tags, products or a category with Simplywallst: Caspian Discord (TryCaspian/caspian-sdk, 973 stars), Write Script Snowflake (windmill-labs/windmill, 18k stars), Pure Lsp Execute Parallel (finos/legend-engine, 113 stars) and Plot Structure (danjdewhurst/story-skills, 283 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Simplywallst?
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.