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akshare-local-workbench

Name: akshare-local-workbench
Author: tianyedavid

作者 DavidTian · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install akshare-local-workbench

功能描述

Install, run, maintain, and troubleshoot a bundled local single-user AKShare financial data workbench. Use this skill when OpenClaw needs to create the workb...

使用说明 (SKILL.md)

AKShare Local Workbench

Use this skill to create and operate a local AKShare data workbench from bundled source files. This standalone ClawHub package includes the app source under assets/akshare-workbench, so init-project does not clone GitHub.

Treat the app as a local single-user tool. Prefer caching, slow request pacing, and targeted indicators over high-frequency or bulk data-source access.

Quick Start

Create the workbench project from bundled assets:

python3 /path/to/akshare-local-workbench/scripts/workbench_ctl.py init-project --target akshare-workbench

Then install dependencies and start:

cd akshare-workbench
python3 /path/to/akshare-local-workbench/scripts/workbench_ctl.py setup
python3 /path/to/akshare-local-workbench/scripts/workbench_ctl.py start

When installed through OpenClaw/ClawHub, use the skill's installed script path. If the app already exists, run commands from inside the app project or pass:

--root /path/to/akshare-workbench

Main Commands

python3 /path/to/akshare-local-workbench/scripts/workbench_ctl.py init-project --target akshare-workbench
python3 /path/to/akshare-local-workbench/scripts/workbench_ctl.py doctor
python3 /path/to/akshare-local-workbench/scripts/workbench_ctl.py setup
python3 /path/to/akshare-local-workbench/scripts/workbench_ctl.py start
python3 /path/to/akshare-local-workbench/scripts/workbench_ctl.py status
python3 /path/to/akshare-local-workbench/scripts/workbench_ctl.py restart
python3 /path/to/akshare-local-workbench/scripts/workbench_ctl.py test
python3 /path/to/akshare-local-workbench/scripts/workbench_ctl.py clear-cache
python3 /path/to/akshare-local-workbench/scripts/workbench_ctl.py stop

The frontend defaults to http://127.0.0.1:5173; backend health is http://127.0.0.1:8000/api/health.

Request-Limit Guidance

The controller starts the backend with conservative defaults:

AKSHARE_MAX_CONCURRENT=1
AKSHARE_EASTMONEY_INTERVAL_SECONDS=12
AKSHARE_EASTMONEY_HTTP_RETRIES=2
AKSHARE_EASTMONEY_CALL_ATTEMPTS=1
AKSHARE_EASTMONEY_CACHE_TTL_SECONDS=1800
AKSHARE_RESULT_CACHE_TTL_SECONDS=900
AKSHARE_ENRICH_NAMES=0

Ordinary "提取" uses local cache. "强制刷新" bypasses cache and should be used sparingly.

For Eastmoney/东方财富 RemoteDisconnected or Connection aborted errors:

Wait several minutes.
Avoid repeated forced refreshes.
Prefer single-symbol indicators over full-market real-time endpoints.
Try AKSHARE_PROXY_MODE=direct or AKSHARE_PROXY_MODE=system.
Raise AKSHARE_EASTMONEY_INTERVAL_SECONDS to 20 or 30.

Do not use IP rotation, high-concurrency scraping, or attempts to bypass upstream restrictions. For production, commercial, high-frequency, or bulk use, use an official or licensed data feed.

Maintenance

Read references/maintenance.md for bundled asset details, common commands, catalog maintenance, troubleshooting, and open-source/disclaimer notes.

安全使用建议

Install only if you are comfortable running a local financial-data workbench that installs Python/npm dependencies and contacts public data providers. If you enable AI, use a provider you trust, avoid entering sensitive financial/account information into chat, and treat the local ai_config.json file as a secret because it stores the API key in plaintext.

能力标签

cryptorequires-sensitive-credentials

能力评估

✓ Purpose & Capability

The bundled files match the stated purpose: a local single-user AKShare workbench for selecting indicators, fetching public financial data, previewing/exporting results, and optionally using an AI assistant to map natural-language requests to known indicators.

✓ Instruction Scope

Runtime instructions are user-directed and scoped to initializing, setting up, starting, stopping, testing, and maintaining the local workbench; the skill also advises conservative request pacing and avoiding bypass of upstream data-provider limits.

✓ Install Mechanism

The controller copies bundled assets, creates a Python virtual environment, installs declared Python and npm dependencies, and starts local backend/frontend processes bound to 127.0.0.1; destructive replacement only occurs when the user explicitly passes --force.

ℹ Credentials

Network access to AKShare-backed public data sources and a user-configured OpenAI-compatible model endpoint is proportionate to the workbench purpose, but users should understand that AI prompts and recent chat history go to the configured provider.

ℹ Persistence & Privilege

The app persists result cache files locally with TTLs and stores AI model configuration, including the API key, in a local JSON file; this is disclosed in project notes and not returned by the config API, but it is plaintext and not OS-keychain protected.

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 akshare-local-workbench
安装完成后，直接呼叫该 Skill 的名称或使用 /akshare-local-workbench 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 akshare-local-workbench. - Provides local install, operation, and maintenance of a single-user AKShare financial data workbench from bundled assets—no GitHub cloning required. - Includes command-line controller for project setup, dependency install, starting/stopping services, testing, cache management, and troubleshooting. - Supports editable AKShare YAML indicator catalog and manages conservative defaults to reduce Eastmoney/东方财富 rate-limit errors. - Exposes environment variables to customize ports, proxy mode, root path, and request pacing. - Emphasizes local caching, slow pacing, and responsible use for single-user scenarios.

元数据

Slug akshare-local-workbench

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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