Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
stock screener
Intellectia stock/crypto screener for Bullish/Bearish Tomorrow/Week/Month presets. Calls /gateway/v1/stock/screener-list (no auth) and summarizes results.
skill openclawclawhub Free
Intellectia stock/crypto screener for Bullish/Bearish Tomorrow/Week/Month presets. Calls /gateway/v1/stock/screener-list (no auth) and summarizes results.
⬇ 0 downloads ★ 0 stars Unverified but indexed
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
- xanxustan
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Intellectia Stock Screener
Fetch and summarize Intellectia “Screener List” results for stock/crypto screening.
When to use this skill
Use this skill when you want to: Get the latest bullish/bearish screener candidates for stocks or crypto Use the built-in preset pick-lists (below) as your “stock/crypto picking tools” Convert a preset into exact API query parameters (symbol_type, period_type, trend_type) Summarize/compare results using probability, profit, price, change_ratio, klines, and trend_list
Presets (UI list mapping)
Pick one preset name and run it (this is the easiest way to use the skill): Preset (UI name)symbol_typeperiod_typetrend_typeStocks Bullish Tomorrow000Stocks Bearish Tomorrow001Stocks Bullish for a Week010Stocks Bearish for a Week011Stocks Bullish for a Month020Stocks Bearish for a Month021Cryptos Bullish Tomorrow200Cryptos Bearish Tomorrow201Cryptos Bullish for a Week210Cryptos Bearish for a Week211Cryptos Bullish for a Month220Cryptos Bearish for a Month221
Preset descriptions (copy-ready)
Stocks Bullish Tomorrow: This list highlights stocks expected to rise, identified by our AI algorithm. It analyzes market-wide price data to spot those most likely to continue an uptrend, based on similarity to proven bullish patterns. Stocks Bearish Tomorrow: This list highlights stocks expected to fall, identified by our AI algorithm. It analyzes market-wide price data to spot those most likely to continue a downtrend, based on similarity to proven bearish patterns.
How to ask (high hit-rate)
If you want OpenClaw to automatically pick this skill, include: The word Intellectia or screener (or “bullish/bearish”, “stock screener”, “crypto screener”) One preset name from the table above (recommended) Your output requirements (top N, sort, fields) If you want to force it, use: /skill intellectia-stock-screener <your request> Copy-ready prompts: “Intellectia screener: Stocks Bullish Tomorrow. Top 10 by probability desc. Output: symbol,name,price,change_ratio,probability,profit.” “Intellectia screener: Stocks Bearish for a Week. Explain what probability and profit mean, then return a table.” “Intellectia screener: Cryptos Bullish for a Month. Page 1 size 50. Filter probability >= 70.” “Call Intellectia /gateway/v1/stock/screener-list with symbol_type=0 period_type=0 trend_type=0 page=1 size=20 and return raw JSON.”
Tool configuration
ToolPurposeConfigurationcurlQuick one-off requestsUse the full URL + query stringpython3Repeatable scriptsUse requests and parse data.listrequestsHTTP client librarypip install requests
Using this skill in OpenClaw
Install into the current workspace: clawhub install intellectia-stock-screener Start a new OpenClaw session so the agent picks it up (skills are snapshotted at session start). Verify it is visible/eligible: openclaw skills list openclaw skills info intellectia-stock-screener openclaw skills check
Endpoint
Base URL: https://api.intellectia.ai GET /gateway/v1/stock/screener-list
Query parameters
NameTypeMeaningsymbol_typeintAsset type: 0=stock 1=etf 2=cryptoperiod_typeintPeriod: 0=day 1=week 2=monthtrend_typeintTrend: 0=bullish 1=bearishprofit_ascboolSort by profit ascending (true = small → large)market_capintMarket cap filter: 0=any 1=micro(<300M) 2=small(300M-2B) 3=mid(2B-10B) 4=large(10B-200B) 5=mega(>200B)priceintPrice filter: 0=any 1=<5 2=<50 3=>5 4=>50 5=5-50pageintPage number (example: 1)sizeintPage 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
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md