Agent skill

Morningstar

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…

MITAuto-check passedBusiness, Finance & HR

Install Morningstar

skills CLI

$ npx skills add gauss314/skills --skill morningstar -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install gauss314/skills morningstar --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/morningstar .claude/skills/morningstar && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "morningstar" agent skill from https://github.com/gauss314/skills/tree/main/skills/morningstar into .claude/skills/morningstar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "morningstar", 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

$skill-installer install https://github.com/gauss314/skills/tree/main/skills/morningstar

Type 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.

skills CLI

$ npx skills add gauss314/skills --skill morningstar -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install gauss314/skills morningstar --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/morningstar .agents/skills/morningstar && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "morningstar" agent skill from https://github.com/gauss314/skills/tree/main/skills/morningstar into .agents/skills/morningstar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "morningstar", 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.

skills CLI

$ npx skills add gauss314/skills --skill morningstar -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install gauss314/skills morningstar --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/morningstar .cursor/skills/morningstar && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "morningstar" agent skill from https://github.com/gauss314/skills/tree/main/skills/morningstar into .cursor/skills/morningstar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "morningstar", 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

$ gemini skills install https://github.com/gauss314/skills.git --path skills/morningstar

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add gauss314/skills --skill morningstar -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install gauss314/skills morningstar --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/morningstar .gemini/skills/morningstar && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "morningstar" agent skill from https://github.com/gauss314/skills/tree/main/skills/morningstar into .gemini/skills/morningstar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "morningstar", 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.

GitHub CLI

$ gh skill install gauss314/skills morningstar

Installs 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).

skills CLI

$ npx skills add gauss314/skills --skill morningstar -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/morningstar .github/skills/morningstar && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "morningstar" agent skill from https://github.com/gauss314/skills/tree/main/skills/morningstar into .github/skills/morningstar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "morningstar", 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.

skills CLI

$ npx skills add gauss314/skills --skill morningstar -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install gauss314/skills morningstar --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/morningstar .opencode/skills/morningstar && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "morningstar" agent skill from https://github.com/gauss314/skills/tree/main/skills/morningstar into .opencode/skills/morningstar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "morningstar", 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: morningstar
GitHub stars: 248
Token cost: ~2.6k tokens
SKILL.md length: 688 words
Files: 5 (incl. scripts, references, assets)
Skills in repo: 32
Repo updated: Jun 14, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

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…

Business, Finance & HR work in your project
SKILL.md covers ⚠️ Aviso Legal, Scripts, Instalacion de dependencias and Uso rapido, plus 6 more sections
Runs Python scripts from its folder; calls python and pip

What it does

Morningstar is an agent skill from 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 1d/1w/1m/3m/6m/12m/36m/60m/120m, deuda, dividend yield, sector, industria). Sin API key, sin auth.

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `assets/DATA_POINTS.md`, `assets/UNIVERSES.md` and `references/REFERENCE.md`).

It sits in Business, Finance & HR. It works with Python. 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

Business, Finance & HR work in your project

Example prompts

“/morningstar”

Requirements

Python 3

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:
- python
- pip
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):
- morningstar.com
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

Morningstar loads about 2.6k tokens when it runs, and up to ~8.1k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 688 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~72
When it runs · the whole SKILL.md, loaded when a task matches: ~2.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~8.1k

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). 688 words, ~2,580 tokens.

Download SKILL.mdSave it as .claude/skills/morningstar/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: morningstar
description: 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 1d/1w/1m/3m/6m/12m/36m/60m/120m, deuda, dividend yield, sector, industria). Sin API key, sin auth.
license: MIT

Morningstar — Screener via API JSON

Skill para descargar la base de datos de acciones globales de Morningstar usando un endpoint JSON interno descubierto por ingenieria inversa. Sin API key, sin autenticacion, sin rate limit agresivo.

⚠️ Aviso Legal

Este endpoint no es oficial — fue descubierto interceptando el trafico XHR de la UI web del screener de Morningstar.
Los datos provienen del sitio publico de Morningstar. Respetar los terminos de servicio del sitio.
Solo el endpoint /security/screener es accesible sin auth. Otros endpoints de Morningstar (api-global, global, lt, etc.) requieren resolver AWS WAF challenge (no soportado por este skill).
Para uso intensivo, respetar pausas de 0.5-1 segundo entre requests.

Scripts

Script	Descripcion
fetch_morningstar.py	Script principal: info, fields, search, screener, download

Instalacion de dependencias

bash

pip install requests

Solo requests puro, sin dependencias extras.

Uso rapido

bash

# === INFO ===
python scripts/fetch_morningstar.py info       # Stats del skill
python scripts/fetch_morningstar.py fields     # 33 campos disponibles

# === BUSCAR TICKERS (por nombre, multi-universe) ===
python scripts/fetch_morningstar.py search Apple --universe XNAS
python scripts/fetch_morningstar.py search Apple --universe XNAS XFRA XBUE
python scripts/fetch_morningstar.py search YPF --universe XBUE
python scripts/fetch_morningstar.py search "MercadoLibre" --universe XNAS BVMF

# === DESCARGA MASIVA (screener) ===
python scripts/fetch_morningstar.py screener --universe XNAS
python scripts/fetch_morningstar.py screener --universe XBUE
python scripts/fetch_morningstar.py screener --universe XNAS XLON XTKS

# === DESCARGA POR PAIS ===
python scripts/fetch_morningstar.py screener --country AR
python scripts/fetch_morningstar.py screener --country US
python scripts/fetch_morningstar.py screener --country DE

# === DESCARGA COMPLETA (53 universes, 100K+ listings) ===
python scripts/fetch_morningstar.py screener --all

# === GUARDAR A ARCHIVO ===
python scripts/fetch_morningstar.py screener --universe XBUE -o argentina.json
python scripts/fetch_morningstar.py screener --universe XNAS -o nasdaq.csv
python scripts/fetch_morningstar.py screener --country AR -o ar.csv
python scripts/fetch_morningstar.py search "YPF" --universe XBUE -o ypf_results.json

# === DOWNLOAD (alias de screener) ===
python scripts/fetch_morningstar.py download --universe XBUE -o ar.csv

# === MODO SILENCIOSO (solo JSON, sin logs) ===
python scripts/fetch_morningstar.py search Apple --universe XNAS -q
python scripts/fetch_morningstar.py screener --universe XBUE -q -o ar.json

# === CAMPOS ESPECIFICOS (--fields) ===
python scripts/fetch_morningstar.py screener --universe XNAS --fields Ticker Name ClosePrice MarketCap PERatio

Modos disponibles

Modo	Descripcion	Ejemplo
`info`	Stats del skill, dominios, token, #universes, #campos	`python fetch_morningstar.py info`
`fields`	Lista los 33 securityDataPoints disponibles con descripcion	`python fetch_morningstar.py fields`
`search`	Buscar tickers por nombre en uno o varios universes	`python fetch_morningstar.py search Apple --universe XNAS`
`screener`	Descarga masiva de uno o varios universes (toda la DB)	`python fetch_morningstar.py screener --universe XNAS`
`download`	Alias de `screener`	`python fetch_morningstar.py download --universe XNAS`

Flags

Flag	Descripcion	Ejemplo
`--universe XNAS`	Uno o varios universe codes (sin prefijo `E0EXG$`)	`--universe XNAS XBUE`
`--country AR`	Codigos de pais ISO (39 paises soportados)	`--country AR US DE`
`--all`	Todos los 53 universes (~100K listings, demora ~1-2 min)	`--all`
`--fields Ticker Name`	Sub-set de campos (default: los 33)	`--fields Ticker Name ClosePrice`
`--output archivo.json`	Guardar a JSON	`-o data.json`
`--output archivo.csv`	Guardar a CSV (flat)	`-o data.csv`
`-q` / `--quiet`	Solo JSON, sin logs	`-q`

Cobertura

53 universes, 102,093 listings, 39 paises — ver assets/UNIVERSES.md.

Top 10 universes

Universe	Exchange	Pais	Listings
`XFRA`	Frankfurt (Tradegate)	Germany	14,082
`XSTU`	Stuttgart	Germany	9,971
`XMUN`	Munich	Germany	8,425
`XDUS`	Dusseldorf	Germany	8,297
`XBOM`	Bombay (BSE)	India	5,192
`XTKS`	Tokyo	Japan	3,989
`XNAS`	Nasdaq	United States	3,741
`XNSE`	NSE India	India	3,018
`XSHE`	Shenzhen	China	2,934
`XKRX`	Korea Exchange	South Korea	2,877

Argentina

XBUE (BCBA) → 469 CEDEARs (certificados de deposito de acciones extranjeras) con precios en ARS.

bash

python fetch_morningstar.py screener --universe XBUE -o ar.csv

Cada CEDEAR tiene un PerformanceId distinto del ADR original. Ej: Apple Inc CEDEAR (0P0000TFNY) ≠ Apple Inc NASDAQ (0P000000GY).

Brasil

BVMF (B3) → 2,070 BDRs/acciones en BRL.

Mexico

XMEX (BMV) → 2,233 acciones en MXN.

Campos (33 en total)

5 metadata: Ticker, Name, PerformanceId, Universe, MarketCountryName

5 categoricos: SectorName, IndustryName, EquityStyleBox (1-9), QuantitativeStarRating (1-5)

23 numericos:

Precio/tamano (2): ClosePrice, MarketCap
Valuacion (3): PERatio, PEGRatio, DividendYield
Calidad (7): DebtEquityRatio, NetMargin, EBTMarginYear1, ROATTM, ROETTM, ROEYear1, ROICYear1
Crecimiento (2): EPSGrowth3YYear1, RevenueGrowth3Y
Retornos (9): ReturnD1, ReturnW1, ReturnM0, ReturnM1, ReturnM3, ReturnM6, ReturnM12, ReturnM36, ReturnM60, ReturnM120

Ver assets/DATA_POINTS.md para detalles.

Show full SKILL.md (247 more words)Show less

Ejemplos de output

`search Apple --universe XNAS` (1 resultado)

json

{
  "_meta": {
    "query": "Apple",
    "universe_count": 1,
    "total_results": 1
  },
  "results": [
    {
      "Ticker": "AAPL",
      "PerformanceId": "0P000000GY",
      "Name": "Apple Inc",
      "ClosePrice": 311.23,
      "MarketCap": 4571145807880,
      "MarketCountryName": "United States",
      "SectorName": "Technology",
      "IndustryName": "Consumer Electronics",
      "_universe_code": "XNAS",
      "_universe_name": "Nasdaq"
    }
  ]
}

`screener --universe XBUE -o ar.csv` (469 filas)

csv

_universe_code,Ticker,Name,PerformanceId,Universe,ClosePrice,MarketCap,SectorName,IndustryName,EquityStyleBox,...
XBUE,MMM,3M Co Cedear,0P0000D5UB,E0EXG$XBUE,23100,Industrials,Conglomerates,4,...
XBUE,A3,A3 Mercados SA Ordinary Shares,0P0000WJD7,E0EXG$XBUE,2215,Financial Services,Financial Data & Stock Exchanges,,...
XBUE,YPFD,YPF SA Class D,0P0000BS4D,E0EXG$XBUE,83850,Energy,Oil & Gas Integrated,9,...

`search YPF --universe XBUE` (4 resultados)

json

{
  "_meta": {"query": "YPF", "universe_count": 1, "total_results": 4},
  "results": [
    {"Ticker": "YPFD",   "PerformanceId": "0P0000BS4D", "Name": "YPF SA Class D",        "ClosePrice": 83850, "SectorName": "Energy", "IndustryName": "Oil & Gas Integrated", "_universe_code": "XBUE"},
    {"Ticker": "YPFD1",  "PerformanceId": "0P0001NX4I", "Name": "YPF SA Class D Cedear", ...},
    {"Ticker": "YPF",    "PerformanceId": "...",          "Name": "YPF SA",                ...},
    ...
  ]
}

Consideraciones tecnicas

Token universal

El mismo token klr5zyak8x funciona en 5 sub-dominios de tools.morningstar.*:

Dominio	Idioma default
`tools.morningstar.co.uk`	English (UK)
`tools.morningstar.de`	German
`tools.morningstar.fr`	French
`tools.morningstar.it`	Italian
`tools.morningstar.es`	Spanish

Todos devuelven la misma data. El script prueba los 5 hasta que uno responda 200.

NO funciona en: tools.morningstar.com (US), .com.au, .br, .jp, etc. (geofencing, IP blocking o no existe el endpoint).

Encoding

El API devuelve nombres de sectores/industrias en el idioma del languageId (es-AR, de-DE, etc.). PROBLEMA: los caracteres acentuados vienen mal-encodados (Energ�a en vez de Energía).

Solucion del script: usar languageId=en-GB para todos los universes. Los nombres de empresas (Apple, YPF, etc.) se mantienen, solo los nombres de sectores/industrias se devuelven en inglés (que es el estándar para screener cuantitativo).

Rate limit

No hay rate limit agresivo observado. Sin embargo:

Hacer 50+ requests en pocos segundos puede triggerear throttling del CDN
El script espera 0.5-1 segundo entre universes (configurable en get())
Sin reintentos agresivos

PerformanceId

Cada listing (instrumento en un exchange especifico) tiene un PerformanceId unico. El mismo "Apple Inc" tiene:

0P000000GY en NASDAQ (XNAS)
0P0000EEDJ en XFRA (Frankfurt)
0P0000VE8R en BVMF (Brasil BDR)
0P0000TFNY en XBUE (CEDEAR Argentina)

El PerformanceId NO se transfiere entre exchanges. Es la unica clave estable para identificar un listing especifico.

Estructura del skill

skills/morningstar/
├── SKILL.md                          # Este archivo (guia rapida)
├── assets/
│   ├── UNIVERSES.md                  # Lista completa de 53 universes
│   └── DATA_POINTS.md                # Lista de 33 campos disponibles
├── references/
│   └── REFERENCE.md                  # Documentacion tecnica detallada
└── scripts/
    └── fetch_morningstar.py          # Script principal

Documentacion detallada: Consultar references/REFERENCE.md para la doc tecnica exhaustiva de endpoints, JSON schemas, ejemplos y troubleshooting.

Files

SKILL.md and 4 other files (scripts, references, assets) in skills/morningstar of gauss314/skills.

SKILL.md
assets/DATA_POINTS.md
assets/UNIVERSES.md
references/REFERENCE.md
scripts/fetch_morningstar.py

Open the folder on GitHubat commit 5156f81

Compare with similar skills

Morningstar 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.

Morningstar compared with similar skills
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Korean Government Grant Searchdjfksjd/ir-search	391	—	~3.5k	Automated safety check: Notes	MIT	2 mo ago
Kalshi Traderyanfrigo/kalshi-ai-trading-bot	613	—	~3.4k	Automated safety check: Pass	MIT	yesterday

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Questions about Morningstar

What does Morningstar do?

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…. Morningstar is an agent skill from 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 1d/1w/1m/3m/6m/12m/36m/60m/120m, deuda, dividend yield, sector, industria).

When should I use Morningstar?

Morningstar fits situations like: business, Finance & HR work in your project.

How do I install Morningstar in Claude Code?

Run `npx skills add gauss314/skills --skill morningstar -a claude-code`. Or copy the skill folder (skills/morningstar in gauss314/skills) into .claude/skills/morningstar in your project. Claude Code loads it when a task matches its description.

How do I install Morningstar in Codex?

Run `npx skills add gauss314/skills --skill morningstar -a codex`. Or copy the skill folder (skills/morningstar in gauss314/skills) into .agents/skills/morningstar in your project. Codex loads it when a task matches its description.

Can I use Morningstar 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 morningstar -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/morningstar, .gemini/skills/morningstar, .github/skills/morningstar and .opencode/skills/morningstar in your project.

What does Morningstar need to run?

Going by SKILL.md and its folder, Morningstar 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 Morningstar access the network?

SKILL.md names 1 domain. As links in the text: morningstar.com. This is read from the text; nothing was executed.

Is Morningstar 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 Morningstar use?

Morningstar 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 Morningstar use?

About 2.6k tokens (SKILL.md is roughly 10k 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 Morningstar?

Skills that share tags, products or a category with Morningstar: Itr Wala (karanb192/itr-wala, 871 stars), Tushare Data (zillionare/zillionare, 322 stars), Global Stock Data (simonlin1212/global-stock-data, 1.7k stars) and Korean Government Grant Search (djfksjd/ir-search, 391 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Morningstar?

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.

Install Morningstar

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Morningstar — Screener via API JSON

⚠️ Aviso Legal

Scripts

Instalacion de dependencias

Uso rapido

Modos disponibles

Flags

Cobertura

Top 10 universes

Argentina

Brasil

Mexico

Campos (33 en total)

Ejemplos de output

search Apple --universe XNAS (1 resultado)

screener --universe XBUE -o ar.csv (469 filas)

search YPF --universe XBUE (4 resultados)

Consideraciones tecnicas

Token universal

Encoding

Rate limit

PerformanceId

Estructura del skill

Files

Compare with similar skills

Similar skills

More from gauss314/skills

Related

Questions about Morningstar

`search Apple --universe XNAS` (1 resultado)

`screener --universe XBUE -o ar.csv` (469 filas)

`search YPF --universe XBUE` (4 resultados)