Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Stock Screener
Get stock screener list data from Intellectia API (no auth) and summarize results.
skill openclawclawhub Free
Get stock screener list data from Intellectia API (no auth) and summarize results.
โฌ 0 downloads โ
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- intellectiaAI
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Intellectia Stock Screener
Base URL: https://api.intellectia.ai
Endpoint
GET /gateway/v1/stock/screener-list Full URL: https://api.intellectia.ai/gateway/v1/stock/screener-list
Query parameters
symbol_type (int): Asset type 0=stock 1=etf 2=crypto period_type (int): Period 0=day 1=week 2=month trend_type (int): Trend 0=bullish 1=bearish profit_asc (bool): Sort by profit ascending (true = small โ large) market_cap (int): Market cap filter 0=any 1=micro <300M 2=small 300M-2B 3=mid 2B-10B 4=large 10B-200B 5=mega >200B price (int): Price filter 0=any 1=<5 2=<50 3=>5 4=>50 5=5-50 page (int): Page number (example: 1) size (int): Page size (example: 20)
Response (200)
Example response (shape): { "ret": 0, "msg": "", "data": { "list": [ { "code": "BKD.N", "symbol": "BKD", "symbol_type": 0, "name": "Brookdale Senior Living Inc", "logo": "https://intellectia-public-documents.s3.amazonaws.com/image/logo/BKD_logo.png", "pre_close": 14.5, "price": 15, "change_ratio": 3.45, "timestamp": "1769749200", "simiar_num": 10, "probability": 80, "profit": 5.27, "klines": [{ "close": 15, "timestamp": "1769749200" }], "trend_list": [ { "symbol": "BKD", "symbol_type": 0, "is_main": true, "list": [{ "change_ratio": 5.27, "timestamp": "1730260800", "close": 16 }] } ], "update_time": "1769806800" } ], "total": 3, "detail": { "cover_url": "https://d159e3ysga2l0q.cloudfront.net/image/cover_image/stock-1.png", "name": "Stocks Bullish Tomorrow", "screener_type": 1011, "params": "{}", "desc": "..." } } }
Field reference
Top-level: ret (int): Status code (typically 0 means success) msg (string): Message (empty string when OK) data (object): Payload data: data.list (array): Result rows data.total (int): Total number of rows data.detail (object): Screener metadata Each item in data.list: code (string): Full instrument code (may include exchange suffix, e.g. BKD.N) symbol (string): Ticker symbol (e.g. BKD) symbol_type (int): Asset type (0=stock 1=etf 2=crypto) name (string): Display name logo (string): Logo URL pre_close (number): Previous close price price (number): Current price change_ratio (number): Percent change vs previous close timestamp (string): Quote timestamp (Unix seconds) simiar_num (int): Similarity count (as returned by API; spelling kept as-is) probability (int): Model confidence (0-100) profit (number): Predicted/expected return (as returned by API) klines (array): Price series klines[].close (number): Close price klines[].timestamp (string): Unix seconds trend_list (array): Trend comparison series trend_list[].symbol (string): Symbol for the series (may be empty for non-main series) trend_list[].symbol_type (int): Asset type trend_list[].is_main (bool): Whether this is the main series trend_list[].list (array): Time points trend_list[].list[].change_ratio (number): Percent change at that point trend_list[].list[].timestamp (string): Unix seconds trend_list[].list[].close (number): Close price at that point update_time (string): Last update time (Unix seconds) data.detail: cover_url (string): Cover image URL name (string): Screener title screener_type (int): Screener type ID params (string): Serialized params (often JSON string) desc (string): Screener description num (int, optional): As returned by API (may be absent)
cURL
curl -sS "https://api.intellectia.ai/gateway/v1/stock/screener-list?symbol_type=0&period_type=0&trend_type=0&profit_asc=false&market_cap=0&price=0&page=1&size=20"
Python (requests)
python3 - <<'PY' import requests base_url = "https://api.intellectia.ai" params = { "symbol_type": 0, "period_type": 0, "trend_type": 0, "profit_asc": False, "market_cap": 0, "price": 0, "page": 1, "size": 20, } r = requests.get(f"{base_url}/gateway/v1/stock/screener-list", params=params, timeout=30) r.raise_for_status() payload = r.json() print("ret:", payload.get("ret")) print("msg:", payload.get("msg")) data = payload.get("data") or {} rows = data.get("list") or [] print("total:", data.get("total")) for row in rows[:10]: print(row.get("symbol"), row.get("price"), row.get("change_ratio"), row.get("probability"), row.get("profit")) PY
Notes
No authentication required. If you see rate limits, reduce size and add backoff/retry in client code.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md