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Stock Screener
作者
intellectiaAI
· GitHub ↗
· v1.0.0
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当前安装
1
版本数
在 OpenClaw 中安装
/install intellectia-stock-screener
功能描述
Get stock screener list data from Intellectia API (no auth) and summarize results.
使用说明 (SKILL.md)
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 type0=stock 1=etf 2=cryptoperiod_type(int): Period0=day 1=week 2=monthtrend_type(int): Trend0=bullish 1=bearishprofit_asc(bool): Sort by profit ascending (true= small → large)market_cap(int): Market cap filter0=any1=micro \x3C300M2=small 300M-2B3=mid 2B-10B4=large 10B-200B5=mega >200B
price(int): Price filter0=any1=\x3C52=\x3C503=>54=>505=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 (typically0means success)msg(string): Message (empty string when OK)data(object): Payload
data:
data.list(array): Result rowsdata.total(int): Total number of rowsdata.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 namelogo(string): Logo URLpre_close(number): Previous close priceprice(number): Current pricechange_ratio(number): Percent change vs previous closetimestamp(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 seriesklines[].close(number): Close priceklines[].timestamp(string): Unix seconds
trend_list(array): Trend comparison seriestrend_list[].symbol(string): Symbol for the series (may be empty for non-main series)trend_list[].symbol_type(int): Asset typetrend_list[].is_main(bool): Whether this is the main seriestrend_list[].list(array): Time pointstrend_list[].list[].change_ratio(number): Percent change at that pointtrend_list[].list[].timestamp(string): Unix secondstrend_list[].list[].close(number): Close price at that point
update_time(string): Last update time (Unix seconds)
data.detail:
cover_url(string): Cover image URLname(string): Screener titlescreener_type(int): Screener type IDparams(string): Serialized params (often JSON string)desc(string): Screener descriptionnum(int, optional): As returned by API (may be absent)
Examples
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 - \x3C\x3C'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
sizeand add backoff/retry in client code.
安全使用建议
This is an instruction-only skill that fetches public screener data from https://api.intellectia.ai and summarizes it. Before installing, confirm you are comfortable with the agent making outbound HTTP requests to that external API and with pip installing the standard 'requests' package into the environment. If you do not want the model to call the API autonomously, enable disableModelInvocation for the skill or require explicit user invocation. No credentials or local file access are requested by this skill.
功能分析
Type: OpenClaw Skill
Name: intellectia-stock-screener
Version: 1.0.0
The skill bundle is benign. It defines an API interaction to retrieve stock screener data from `https://api.intellectia.ai`. The `SKILL.md` clearly outlines the API, its parameters, and provides standard `curl` and `python` examples to interact with this specific endpoint. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, prompt injection attempts against the agent, or obfuscation. The only dependency is the `requests` Python library, which is standard for HTTP communication.
能力评估
Purpose & Capability
Name/description (stock screener from Intellectia) matches the declared requirements: curl and python3 for making HTTP requests and parsing JSON, plus pip-installing the 'requests' library. Nothing requested (no credentials, no unrelated binaries) appears out of scope.
Instruction Scope
SKILL.md only documents how to call the documented Intellectia endpoint (curl and Python examples), describes response fields, and suggests handling rate limits. It does not instruct reading local files, accessing unrelated environment variables, or sending data to unexpected endpoints.
Install Mechanism
Install spec is a single pip dependency: 'requests'. This is proportionate for Python HTTP usage and uses a standard package manager rather than downloading arbitrary archives or external scripts.
Credentials
No environment variables, credentials, or config paths are required. The skill accesses only a public, unauthenticated API endpoint, so requested environment access is minimal and appropriate.
Persistence & Privilege
The skill does not request always:true or other elevated persistence flags. Model invocation is allowed by default (disableModelInvocation not set), which is reasonable given the skill only makes public API queries; users who prefer to prevent autonomous calls can set disableModelInvocation.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install intellectia-stock-screener - 安装完成后,直接呼叫该 Skill 的名称或使用
/intellectia-stock-screener触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of intellectia-stock-screener.
- Provides detailed documentation on fetching and filtering stock screener data from the Intellectia API.
- Lists all query parameters, response fields, and example usage in both cURL and Python.
- Specifies no authentication is required to use the API.
元数据
常见问题
Stock Screener 是什么?
Get stock screener list data from Intellectia API (no auth) and summarize results. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2217 次。
如何安装 Stock Screener?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install intellectia-stock-screener」即可一键安装,无需额外配置。
Stock Screener 是免费的吗?
是的,Stock Screener 完全免费(开源免费),可自由下载、安装和使用。
Stock Screener 支持哪些平台?
Stock Screener 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Stock Screener?
由 intellectiaAI(@intellectiaai)开发并维护,当前版本 v1.0.0。
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