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Agent Skill · 研究检索

sectors-financial-agents(行业金融 Agent)

sectors-financial-agents 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

sectors-financial-agents 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 13,364。

总安装 9,452周安装 406GitHub Stars 公开资料未说明下载 3,313核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:sectors-financial-agents(行业金融 Agent)
来源仓库:https://github.com/aidityasadhakim/sectors-financial-agents
安装命令:
openclaw skills install sectors-financial-agents
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install sectors-financial-agents

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

sectors-financial-agents 调用 Sectors API 获取印尼 IDX 与新加坡 SGX 金融市场数据。适用于东南亚股市行情查询、投资组合监控或区域经济趋势分析任务。支持股票价格、成交量、技术指标等结构化字段实时拉取与历史回溯。API 调用频次受限于服务商配额,高频访问需申请更高权限等级。

数据仅供参考,不构成交易依据,投资前请核实最新公告与市场动态。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install sectors-financial-agents;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

sectors-financial-agents 怎么安装?

在终端执行 openclaw skills install sectors-financial-agents。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

sectors-financial-agents 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

sectors-financial-agents 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

sectors-financial-agents 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

sectors-financial-agents 用的人多吗?

公开数据是累计安装 9,452 次,近一周安装 406 次,下载 3,313 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

sectors-financial-agents 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
sectors-financial-agents

行业金融 Agent · 本页

9,452—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
sectors-api
description
>
license
MIT
compatibility
>
metadata
author
supertype
version
1.1
allowed-tools
Bash(python:*) Bash(pip:*) Read

Sectors API

Query IDX and SGX financial market data through the Sectors REST API.

Full API docs: https://sectors.app/api

Constraints

  • ONLY make HTTP requests to https://api.sectors.app/v1. Never call any other domain, database, or external service.
  • All endpoints are GET requests returning JSON.
  • Never hardcode or guess an API key. Always read it from the SECTORS_API_KEY environment variable.
  • If SECTORS_API_KEY is not set, prompt the user to set it: export SECTORS_API_KEY="your-api-key-here" or run the setup check script at scripts/check_setup.py.

Setup

1. Set the API key

The API key must be available as the SECTORS_API_KEY environment variable.

# Option A: Set in your current shell
export SECTORS_API_KEY="your-api-key-here"

# Option B: Add to your shell profile (~/.bashrc, ~/.zshrc) for persistence
echo 'export SECTORS_API_KEY="your-api-key-here"' >> ~/.bashrc

# Option C: Use a .env file in the project root (see .env.example)

For agent-specific configuration:

  • Claude Code: claude config set env SECTORS_API_KEY your-api-key-here
  • OpenCode: Set in ~/.config/opencode/config.json under env
  • Cursor: Settings > Features > Environment Variables

2. Install the dependency

pip install requests

3. Verify setup (optional)

python scripts/check_setup.py

Making requests

import os
import requests

API_KEY = os.environ["SECTORS_API_KEY"]
BASE_URL = "https://api.sectors.app/v1"

headers = {"Authorization": API_KEY}
response = requests.get(f"{BASE_URL}/subsectors/", headers=headers)
data = response.json()

The Authorization header takes the raw API key. Do NOT prefix it with Bearer.

Endpoint decision table

Pick the right endpoint based on what the user needs:

Market structure

User wantsEndpointRequired params
List all subsectorsGET /subsectors/none
List all industriesGET /industries/none
List all subindustriesGET /subindustries/none
SGX sector listGET /sgx/sectors/none

Company discovery

User wantsEndpointRequired params
Companies in a subsectorGET /companies/?sub_sector={sub_sector}sub_sector
Companies in a subindustryGET /companies/?sub_industry={sub_industry}sub_industry
Companies in a stock indexGET /index/{index}/index
Companies with segment dataGET /companies/list_companies_with_segments/none
SGX companies by sectorGET /sgx/companies/?sector={sector}sector

Company details

User wantsEndpointRequired params
Full company report (IDX)GET /company/report/{ticker}/ticker
SGX company reportGET /sgx/company/report/{ticker}ticker
Listing performanceGET /listing-performance/{ticker}/ticker
Quarterly financial datesGET /company/get_quarterly_financial_dates/{ticker}/ticker
Quarterly financialsGET /financials/quarterly/{ticker}/ticker
Company segmentsGET /company/get-segments/{ticker}/ticker

Market data

User wantsEndpointRequired params
Daily stock priceGET /daily/{ticker}ticker
Index daily dataGET /index-daily/{index_code}/index_code
Index summaryGET /index/{index}/index
IDX total market capGET /idx-total/none

Rankings and screening

User wantsEndpointRequired params
Top gainers/losersGET /companies/top-changes/none (all optional)
Top companies by metricGET /companies/top/none (all optional)
Top growth companiesGET /companies/top-growth/none (all optional)
Most traded stocksGET /most-traded/none (all optional)
SGX top companiesGET /sgx/companies/top/none (all optional)

For full parameter lists and response schemas, see:

Common patterns

Fetch a company report

import os
import requests

API_KEY = os.environ["SECTORS_API_KEY"]
BASE_URL = "https://api.sectors.app/v1"
headers = {"Authorization": API_KEY}

ticker = "BBCA"
params = {"sections": "overview,valuation,financials"}
resp = requests.get(f"{BASE_URL}/company/report/{ticker}/", headers=headers, params=params)
report = resp.json()

print(report["company_name"])
print(report["overview"]["market_cap"])

Available sections: overview, valuation, future, peers, financials, dividend, management, ownership. Use all or omit for everything.

Get daily stock prices in a date range

import os
import requests

API_KEY = os.environ["SECTORS_API_KEY"]
BASE_URL = "https://api.sectors.app/v1"
headers = {"Authorization": API_KEY}

ticker = "BBRI.JK"
# Normalize: uppercase, strip .JK
clean = ticker.upper().replace(".JK", "")

params = {"start": "2025-01-01", "end": "2025-01-31"}
resp = requests.get(f"{BASE_URL}/daily/{clean}", headers=headers, params=params)
prices = resp.json()

for day in prices:
    print(day["date"], day["close"], day["volume"])

Find top gainers and losers

import os
import requests

API_KEY = os.environ["SECTORS_API_KEY"]
BASE_URL = "https://api.sectors.app/v1"
headers = {"Authorization": API_KEY}

params = {
    "classifications": "top_gainers,top_losers",
    "periods": "7d,30d",
    "n_stock": 5,
    "min_mcap_billion": 5000,
}
resp = requests.get(f"{BASE_URL}/companies/top-changes/", headers=headers, params=params)
movers = resp.json()

for stock in movers["top_gainers"]["7d"]:
    print(stock["symbol"], stock["price_change"])

List companies in an index

import os
import requests

API_KEY = os.environ["SECTORS_API_KEY"]
BASE_URL = "https://api.sectors.app/v1"
headers = {"Authorization": API_KEY}

# Available: lq45, idx30, kompas100, jii70, idxhidiv20, srikehati, etc.
resp = requests.get(f"{BASE_URL}/index/lq45/", headers=headers)
companies = resp.json()

for c in companies:
    print(c["symbol"], c["company_name"])

SGX company report

import os
import requests

API_KEY = os.environ["SECTORS_API_KEY"]
BASE_URL = "https://api.sectors.app/v1"
headers = {"Authorization": API_KEY}

ticker = "D05"  # DBS Group
resp = requests.get(f"{BASE_URL}/sgx/company/report/{ticker}", headers=headers)
report = resp.json()

print(report["name"])
print(report["valuation"]["pe"])
print(report["financials"]["gross_margin"])

Ticker normalization

MarketRuleExample
IDXUppercase, strip .JK suffixbbca.jk -> BBCA
SGXUppercase, strip .SI suffixd05.si -> D05

Always normalize before passing to an endpoint.

Gotchas

  1. Auth header format: Use Authorization: <raw_key>. NOT Bearer <key>. NOT Authorization: Bearer <key>.
  1. Date format: Always YYYY-MM-DD. Example: 2025-06-15.
  1. Date range limit: The /most-traded/ endpoint requires start and end dates within 90 days of each other.
  1. Kebab-case for subsectors and sectors: Use banks, financing-service, consumer-defensive. Not camelCase or snake_case.
  1. Nested response structure: Ranking endpoints (top-changes, top, top-growth) return objects keyed by classification, then by period. Always navigate both levels.
   # top-changes returns: { "top_gainers": { "7d": [...], "30d": [...] } }
   # top returns: { "dividend_yield": [...], "revenue": [...] }
  1. Market cap units: IDX values are in billion IDR (min_mcap_billion). SGX values are in million SGD (min_mcap_million).
  1. Default values matter: Many optional params default to "all" or specific values (e.g. n_stock defaults to 5, min_mcap_billion defaults to 5000). Be explicit when you need different behavior.
  1. Index codes: IDX index daily data uses lowercase codes: ihsg, lq45, idx30. Company-by-index uses the same codes.
  1. Quarterly financials approx flag: When approx=true, the API returns the closest available quarter if an exact match for report_date is not found.
  1. Company report sections param: Only appended to the URL when not "all". If you want all sections, omit the sections parameter entirely.

Available IDX indices

ftse, idx30, idxbumn20, idxesgl, idxg30, idxhidiv20, idxq30, idxv30, jii70, kompas100, lq45, sminfra18, srikehati, economic30, idxvesta28

Top companies classifications

IDX (/companies/top/): dividend_yield, total_dividend, revenue, earnings, market_cap, pb, pe, ps

IDX growth (/companies/top-growth/): top_earnings_growth_gainers, top_earnings_growth_losers, top_revenue_growth_gainers, top_revenue_growth_losers

IDX movers (/companies/top-changes/): top_gainers, top_losers

SGX (/sgx/companies/top/): dividend_yield, revenue, earnings, market_cap, pe

Error handling

Always check the response status:

resp = requests.get(url, headers=headers)
if resp.status_code == 403:
    raise ValueError("Invalid or missing API key. Ensure SECTORS_API_KEY is set correctly.")
if resp.status_code == 404:
    raise ValueError(f"Resource not found: {url}")
if not resp.ok:
    raise RuntimeError(f"API error {resp.status_code}: {resp.text}")
data = resp.json()

平台分布

OpenClaw

87.61%
按下载量换算2,903

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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