A Stock Data

STRONG · 90
Community indexed

A股全栈数据工具包 · 10层架构 · 43端点(含3官方备胎) · 15数据源 · 行情/研报/资金面/筹码/公告/打板/ETF期权/舆情互动全覆盖+备用源降级 | China A-Share full-stack data toolkit (43 endpoints)

Downloads0
Stars8.1K
Version1.0.0
Quality100/100 · Excellent
Trust90/100 · Review then install
Audit95/100 · Safe to try

Supply asset profile

Finance and quant workflows

Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows.

Browse track

Scenario

Finance and quant

I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add simonlin1212/a-stock-data

Maintenance

fresh

3d since push

Risk

Safe to try

No major risk signals from available metadata

GitHub quality

8.1K

100/100 Quality · 93/100 Trust

Coverage tags

FinanceFinance and quantfinance-quantstock-dataA-share

Review notes

No major risk signals from available metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
90

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
95

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Agent install candidate

Use as the primary candidate after human or sandbox review.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

8.1K GitHub stars

Repo activity

8.1K stars, 1.5K forks

Maintenance

3d since push

License

Apache-2.0

Install

npx skills add simonlin1212/a-stock-data

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

  • No major trust warnings detected from available metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add simonlin1212/a-stock-data
Policy
review
Human review
yes

Trust and risk

Trust
90/100
Audit
95/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add simonlin1212/a-stock-data

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • High-risk permission hints: Secrets or environment access
  • No major trust warnings detected from available metadata

Agent safety v2

67/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

high

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • High-risk permission hints: Secrets or environment access

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add simonlin1212/a-stock-data

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use A Stock Data in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20A%20Stock%20Data%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/simonlin1212-a-stock-data/install
Install command: npx skills add simonlin1212/a-stock-data
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use A Stock Data for this task. Review https://www.openagentskill.com/api/skills/simonlin1212-a-stock-data/install, then install with: npx skills add simonlin1212/a-stock-data

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

100/100

GitHub automation

Platforms

Claude Code, OpenAI Agents

Audit report

Safe to try · 95/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for GitHub automation

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

GitHub automation

Trust label

Production-ready

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 8,140 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 100/100 quality profile
  • 10 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

90
OpenAgentSkill Trust Score

GitHub adoption

PASS

8.1K GitHub stars

Stars/forks activity

PASS

8.1K stars, 1.5K forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

Apache-2.0

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Large GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
8.1K
Freshness
3d ago
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

<p align="center"><b>简体中文</b> | <a href="README_en.md">English</a></p>

<h1 align="center">a-stock-data</h1>

<p align="center"> <b>A 股全栈数据工具包 — 10 层架构 · 47 个端点 · 15 个数据源 · 零鉴权</b> </p>

<p align="center"> <a href="LICENSE"><img src="https://img.shields.io/badge/License-Apache_2.0-blue.svg" alt="License"></a> <img src="https://img.shields.io/badge/Python-3.9+-3776AB?logo=python&logoColor=white" alt="Python"> <a href="https://github.com/simonlin1212/a-stock-data/stargazers"><img src="https://img.shields.io/github/stars/simonlin1212/a-stock-data?style=social" alt="Stars"></a> <br> <img src="https://img.shields.io/badge/layers-10-2ea44f.svg" alt="Layers"> <img src="https://img.shields.io/badge/endpoints-47-2ea44f.svg" alt="Endpoints"> <img src="https://img.shields.io/badge/sources-15-2ea44f.svg" alt="Sources"> <img src="https://img.shields.io/badge/auth-zero-success.svg" alt="Zero Auth"> </p>

<p align="center"> <a href="#架构">架构</a> · <a href="#快速开始">快速开始</a> · <a href="#47-个端点能力清单">端点清单</a> · <a href="#使用示例">使用示例</a> · <a href="#faq">FAQ</a> · <a href="./CHANGELOG.md">更新日志</a> </p>

一个自包含的 Skill 文件,把分散在 15 个数据源里的 A 股原始数据整合成 AI 编程助手直接能用的工具集。你不用再背 mootdx 的 K 线参数、东财的 PDF Referer 头、iwencai 的 X-Claw 鉴权——全部封装好了。主源被封还有「备用源速查」可降级。

> 兼容 [Claude Code](https://github.com/anthropics/claude-code) · [Codex](https://github.com/openai/codex) · [OpenClaw](https://github.com/anthropics/openclaw) > > Skill 文件本质是结构化 Markdown + 内嵌 Python,任何支持上下文注入的 AI 编程助手都能用。

---

## 架构

``` A 股全栈数据 · 十层架构 · V3.6.0 │ (优先级:mootdx/腾讯 不封IP 优先用;东财仅用于独有数据,已内置限流防封) ├── 行情层 mootdx + 腾讯财经 + 百度K线 K线(带MA5/10/20) + 五档盘口 + PE/PB/市值 + 指数/ETF ├── 研报层 东财 reportapi + 同花顺 + iwencai 个股研报 / 行业研报 / PDF下载 / 一致预期 / NL搜索 ├── 信号层 同花顺 + 东财 强势股 + 题材归因 + 北向资金 + 板块归属 │ + 资金流向(push2) + 龙虎榜 + 全市场龙虎榜 + 解禁 + 行业对比 + 板块资金流 ├── 资金面 东财 datacenter + push2 融资融券 + 大宗交易 + 股东户数 + 分红送转 + 资金流(分钟+120日) ├── 新闻层 东财 + 财联社

Technical details

Version
1.0.0
License
Apache-2.0
Last updated
Jul 31, 2026
Published
Jul 31, 2026

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

8,140 GitHub stars

Audit

Install review

Install and adoption review

95
Safe to try
Security
89/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for A Stock Data, ready for a manual X post.

Curator note
A practical pick for market research:

A Stock Data: A self-contained AI agent skill for accessing China A-share stock data from 15 sources, packaged as a structured Markdown+P...

8.1K stars

https://www.openagentskill.com/skills/simonlin1212-a-stock-data?ref=x
Open X draft
Optional reply with install command
Listing + install path for A Stock Data:
https://www.openagentskill.com/skills/simonlin1212-a-stock-data?ref=x

Install: npx skills add simonlin1212/a-stock-data

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to simonlin1212 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/simonlin1212-a-stock-data?metric=listed&label=Listed)](https://www.openagentskill.com/skills/simonlin1212-a-stock-data)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/simonlin1212-a-stock-data?metric=trust&label=Trust)](https://www.openagentskill.com/skills/simonlin1212-a-stock-data)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/simonlin1212-a-stock-data?metric=audit&label=Audit)](https://www.openagentskill.com/skills/simonlin1212-a-stock-data/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/simonlin1212-a-stock-data?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/simonlin1212-a-stock-data)

Author

S

simonlin1212

@simonlin1212

Health signals

GitHub stars
8.1K
Quality score
70/100
Last GitHub push
Jul 30, 2026
Framework hints
Unknown
OpenAgentSkill views
2
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Review then install

90
  • GitHub adoption8.1K GitHub starsPASS
  • Stars/forks activity8.1K stars, 1.5K forks; issue activity unavailable in current metadataPASS
  • Recent maintenance3d since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS