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A股市场数据

该 Skill 用绑定脚本按固定白名单子命令查询 AKShare 数据集,覆盖A股实时行情、历史K线、公司资料、中国指数、开放式基金净值与历史、宏观指标与日历、财联社快讯和市场概览,返回统一 JSON 信封(含 columns、rows 等),再以中文摘要回复。

nickdeep1234
nickdeep1234
热度 72.01
最近更新 2026-05-11 17:31:25
分类:数据依赖:代码执行 / 第三方 API应用场景:市场分析 / 财务 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add ashare
Metadata
name
ashare
description
Use AKShare to answer Chinese market-data questions about A-shares, China indexes, open-end mutual funds, macro indicators, macro calendar events, and finance news flashes. Trigger on requests such as A股行情, 个股价格, 历史K线, 指数走势, 基金净值, 宏观数据, 财联社快讯, market overview, stock quote, fund NAV, macro calendar, or news flash. Prefer this skill when OpenClaw needs structured market data from AKShare instead of free-form web browsing.
homepage
https://akshare.akfamily.xyz/data/index.html
user-invocable
true
metadata
{"openclaw":{"requires":{"bins":["python"]}}}

A股市场数据

Use this skill to query a fixed whitelist of AKShare market datasets through the bundled CLI.

Workflow

  1. Convert relative dates to absolute YYYYMMDD before calling the script.
  2. Map the user's request to one of the supported subcommands in references/datasets.md.
  3. Run only the bundled script with OpenClaw exec:
python "{baseDir}/scripts/query_akshare.py" <subcommand> [args...]
  1. Read the JSON envelope from stdout.
  2. Reply in Chinese with a short summary plus the most relevant values from the returned rows.

Hard Rules

  • Use only python "{baseDir}/scripts/query_akshare.py" ....
  • Do not paste the user's raw request into shell pipelines.
  • Do not generate ad-hoc Python snippets to call AKShare directly.
  • Do not guess when a symbol match is ambiguous; surface the returned candidates.
  • Keep dates in YYYYMMDD.
  • Treat missing akshare as an environment issue and relay the install command from the error payload.

Supported Commands

  • market-overview
    • Return A-share market breadth, major indices, top 10 gainers, and top 10 losers.
  • stock-quote <symbol>
    • Real-time A-share quote by code or exact name.
  • stock-history <symbol> [--start-date YYYYMMDD] [--end-date YYYYMMDD] [--period daily|weekly|monthly] [--adjust none|qfq|hfq] [--limit N]
  • stock-profile <symbol>
    • Company and security profile from Eastmoney.
  • index-quote <symbol>
    • Real-time China index quote by code or exact name.
  • index-history <symbol> [--start-date YYYYMMDD] [--end-date YYYYMMDD] [--period daily|weekly|monthly] [--limit N]
  • fund-quote <symbol>
    • Open-end mutual fund daily NAV snapshot by code or exact name.
  • fund-history <symbol> [--indicator unit_nav|acc_nav|acc_return] [--period 1m|3m|6m|1y|3y|5y|ytd|all] [--limit N]
  • macro-series <alias>
    • Supported aliases: china_cpi, china_pmi, china_rmb.
  • macro-calendar [--date YYYYMMDD] [--limit N]
  • news-flash [--scope all|important] [--limit N]

Command Examples

python "{baseDir}/scripts/query_akshare.py" market-overview
python "{baseDir}/scripts/query_akshare.py" stock-quote 000001
python "{baseDir}/scripts/query_akshare.py" stock-history 600519 --start-date 20260101 --end-date 20260313
python "{baseDir}/scripts/query_akshare.py" index-history 000300 --limit 60
python "{baseDir}/scripts/query_akshare.py" fund-history 000001 --indicator unit_nav --limit 60
python "{baseDir}/scripts/query_akshare.py" macro-series china_pmi
python "{baseDir}/scripts/query_akshare.py" macro-calendar --date 20260313
python "{baseDir}/scripts/query_akshare.py" news-flash --limit 10

Output Contract

Every success response is a JSON object with:

  • ok
  • dataset
  • akshare_function
  • resolved
  • params
  • columns
  • rows
  • row_count
  • truncated
  • as_of

Every failure response is a JSON object with:

  • ok: false
  • error.type
  • error.message
  • optional error.details

Error types are limited to:

  • missing_dependency
  • invalid_argument
  • unsupported_query
  • ambiguous_symbol
  • runtime_error

Summary Style

  • Lead with the direct answer in Chinese.
  • Mention the symbol or dataset that was resolved.
  • For quotes, include latest price and change fields when present.
  • For history, describe the date range covered by the returned rows.
  • For market overview, mention breadth and the main index moves.
  • For macro/news results, surface the latest or most important rows instead of dumping the whole payload.