Agent skill

A Share Cross Market

Apache-2.0Auto-check passed

Install A Share Cross Market

skills CLI

$ npx skills add aifinlab/FinClaw --skill a-share-cross-market -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install aifinlab/FinClaw a-share-cross-market --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/a-share-cross-market .claude/skills/a-share-cross-market && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "a-share-cross-market" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-cross-market into .claude/skills/a-share-cross-market/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-cross-market", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-cross-market

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add aifinlab/FinClaw --skill a-share-cross-market -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install aifinlab/FinClaw a-share-cross-market --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/a-share-cross-market .agents/skills/a-share-cross-market && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "a-share-cross-market" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-cross-market into .agents/skills/a-share-cross-market/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-cross-market", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aifinlab/FinClaw --skill a-share-cross-market -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install aifinlab/FinClaw a-share-cross-market --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/a-share-cross-market .cursor/skills/a-share-cross-market && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "a-share-cross-market" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-cross-market into .cursor/skills/a-share-cross-market/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-cross-market", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/aifinlab/FinClaw.git --path skills/a-share-cross-market

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add aifinlab/FinClaw --skill a-share-cross-market -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install aifinlab/FinClaw a-share-cross-market --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/a-share-cross-market .gemini/skills/a-share-cross-market && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "a-share-cross-market" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-cross-market into .gemini/skills/a-share-cross-market/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-cross-market", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install aifinlab/FinClaw a-share-cross-market

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add aifinlab/FinClaw --skill a-share-cross-market -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/a-share-cross-market .github/skills/a-share-cross-market && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "a-share-cross-market" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-cross-market into .github/skills/a-share-cross-market/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-cross-market", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aifinlab/FinClaw --skill a-share-cross-market -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install aifinlab/FinClaw a-share-cross-market --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/a-share-cross-market .opencode/skills/a-share-cross-market && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "a-share-cross-market" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-cross-market into .opencode/skills/a-share-cross-market/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-cross-market", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: a-share-cross-market
GitHub stars: 255
Token cost: ~1k tokens
SKILL.md length: 214 words
Files: 2 (incl. references)
Skills in repo: 74
Repo updated: May 13, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Works in 7 steps: 相关不等于因果：两个市场同涨同跌不代表存在因果关系，可能受同一因素驱动 → 联动强度因阶段而异：A股受外盘影响程度在不同市场阶段差异显著（牛市中后期更独立，恐… → AH溢价有制度基础：AH溢价不会归零，因为A/H两地存在投资者结构、流动性、交易制… → …
User asks about cross-market correlation
Calls python
How US/HK markets affect A-shares

What it does

A Share Cross Market is an agent skill from aifinlab/FinClaw. 跨市场联动分析（A股/港股/美股/大宗商品）。当用户说"跨市场"、"联动"、"A股和美股"、"港股联动"、"AH溢价"、"中概股"、"美股跌了A股会跌吗"、"原油对A股影响"、"汇率影响"、"cross market"、"人民币贬值利好什么"、"跨市场联动"、"全球市场"时触发。MUST USE when user asks about cross-market correlation, AH premium, how US/HK markets affect A-shares, or commodity/FX impact on Chinese stocks. 分析A股与全球主要市场（美股/港股/商品/汇率）的联动关系、AH溢价、中概股映射、大宗商品传导。支持研报风格（formal）和快速参考风格（brief）。

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/cross-market-guide.md`).

The licence is Apache-2.0.

When your agent uses it

User asks about cross-market correlation
How US/HK markets affect A-shares
Commodity/FX impact on Chinese stocks

Example prompts

“美股跌了A股会跌吗”
“原油对A股影响”
“cross market”
“/a-share-cross-market”

Requirements

Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

相关不等于因果：两个市场同涨同跌不代表存在因果关系，可能受同一因素驱动
联动强度因阶段而异：A股受外盘影响程度在不同市场阶段差异显著（牛市中后期更独立，恐慌阶段高度联动）
AH溢价有制度基础：AH溢价不会归零，因为A/H两地存在投资者结构、流动性、交易制度的系统性差异
汇率影响因行业而异：人民币贬值对出口型企业利好，对进口依赖型/美元债较多企业利空，不可一概而论
时差与交易时间：美股收盘→A股开盘有时差，需注意盘后/盘前信息；港股与A股交易时间有重叠
数据来源标注：跨市场数据来源多样，务必标注每项数据的来源和时间点
与其他 skill 联动：跨市场分析结论可指导 a-share-sector（受影响行业）、a-share-northbound（北向资金分析）、a-share-macro（宏观政策背景）

What it can do on your machine

Read from SKILL.md and the folder at commit 9e62862. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

A Share Cross Market loads about 1k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 96 tokens; SKILL.md has 214 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~96
When it runs · the whole SKILL.md, loaded when a task matches: ~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aifinlab/FinClaw at commit 9e62862, republished under its Apache-2.0 licence (© aifinlab). 214 words, ~1,014 tokens.

Download SKILL.mdSave it as .claude/skills/a-share-cross-market/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: a-share-cross-market
description: 跨市场联动分析（A股/港股/美股/大宗商品）。当用户说"跨市场"、"联动"、"A股和美股"、"港股联动"、"AH溢价"、"中概股"、"美股跌了A股会跌吗"、"原油对A股影响"、"汇率影响"、"cross market"、"人民币贬值利好什么"、"跨市场联动"、"全球市场"时触发。MUST USE when user asks about cross-market correlation, AH premium, how US/HK markets affect A-shares, or commodity/FX impact on Chinese stocks. 分析A股与全球主要市场（美股/港股/商品/汇率）的联动关系、AH溢价、中概股映射、大宗商品传导。支持研报风格（formal）和快速参考风格（brief）。

数据源

bash

# cn-stock-data 统一层获取行情（跨市场用 snowball 路由）
python -c "
import subprocess, json

# A股主要指数（通过 cn-stock-data → efinance 路由）
# 上证指数 000001, 沪深300 000300, 创业板指 399006
# 用 cn-stock-data skill 的 quote/kline 接口

# 港股（snowball 路由，HK 前缀）
# 恒生指数 HK00001, 恒生科技 HKHSTECH, H股指数 HK00011

# 美股（snowball 路由，US 前缀）
# 标普500 US.SPX, 纳斯达克 US.IXIC, 道琼斯 US.DJI

# 需要 pysnowball token 才能获取港美股数据
import pysnowball as ball
# ball.set_token('your_token')
# ball.quotec('SH000001,HKHSI,.DJI,.IXIC,.INX')  # 跨市场报价
# ball.kline('SH000001', period='day', count=-120)  # K线数据
"

# AH 股比较数据（akshare 直接调用）
python -c "
import akshare as ak
# AH 股比价
df = ak.stock_a_ah_comparison_em()
print(df.head(20).to_string())
# 返回字段：代码/名称/A股价格/H股价格/比价(A/H)/溢价率
"

# 大宗商品（akshare）
python -c "
import akshare as ak
# 国际原油
df = ak.futures_foreign_hist(symbol='CL')  # WTI原油
# 伦敦金
df = ak.futures_foreign_hist(symbol='GC')  # COMEX黄金
# LME铜
df = ak.futures_foreign_hist(symbol='HG')  # COMEX铜
print(df.tail(5).to_string())
"

补充 web 搜索：美股收盘情况、大宗商品实时价格、美元指数、离岸人民币汇率、美联储议息会议纪要、全球央行动态。

Workflow (5 steps):

Step 1: 多市场数据获取 根据用户需求确定分析范围：

全面联动："跨市场分析" → A股指数 + 美股三大指数 + 恒指 + 商品 + 汇率
双市场对比："A股和美股联动" → 聚焦 A 股与美股
AH 溢价："AH溢价分析" → 聚焦 A+H 双上市公司
商品传导："原油对A股影响" → 聚焦特定商品 → A股传导链
汇率影响："人民币贬值影响" → 聚焦汇率 → 行业影响

获取数据（近 60-120 个交易日）：

市场	标的	数据源
A股	上证/沪深300/创业板指	cn-stock-data (efinance路由)
美股	S&P500/纳斯达克/道琼斯	cn-stock-data (snowball路由)
港股	恒生指数/恒生科技/H股指数	cn-stock-data (snowball路由)
商品	原油/黄金/铜/铁矿石	akshare futures
汇率	美元指数/离岸人民币	web搜索

Step 2: 相关性与领先滞后分析

相关系数计算：

取日收益率序列，计算 Pearson 相关系数（近 60 日/120 日）
相关系数解读：|r|>0.7 强相关, 0.4-0.7 中等, <0.4 弱相关

领先滞后关系：

计算滞后 1-5 日的互相关系数
判断谁领先谁：隔夜美股 → 次日 A 股开盘是最常见的领先关系
注意：领先关系会随市场阶段变化，非固定规律

联动强度变化：

对比近期（20日）vs 中期（60日）相关系数，判断联动是否在加强/减弱
高联动阶段通常对应：全球风险事件、美联储政策转向、流动性冲击

Step 3: AH 溢价分析（如涉及）

通过 ak.stock_a_ah_comparison_em() 获取 AH 股数据：

整体溢价水平：恒生 AH 溢价指数（HSAHP）历史区间 100-160，均值约 130
个股溢价排序：找出溢价最高/最低的股票
溢价变动趋势：近期溢价是扩大还是收窄
套利信号：极端溢价个股可能存在价值回归机会（但需考虑汇率/流动性/制度差异）

溢价区间	市场状态	含义
<110	罕见低溢价	A股相对低估或港股相对高估
110-130	正常区间	反映制度差异溢价
130-150	偏高	A股情绪偏热或港股承压
>150	极端高溢价	A股显著高估，关注回归风险

Step 4: 传导机制分析

资金流传导：

北向资金（沪深港通）→ A股直接影响
全球流动性（美联储政策）→ 新兴市场资金流向 → A股
美元强弱 → 人民币汇率 → 北向资金意愿

情绪传导：

隔夜美股大涨/大跌 → A股开盘跳空
VIX 恐慌指数飙升 → 全球risk-off → A股承压
中概股异动 → A股对标公司联动

基本面传导：

原油上涨 → 化工/航空成本上升，油服/煤化工受益
铜价上涨 → 有色板块受益，新能源成本承压
美国经济衰退 → 中国出口承压 → 出口链公司
人民币贬值 → 出口企业受益，航空/造纸（美元债）承压

政策传导：

美联储加息/降息 → 中美利差 → 资金流向
美国关税政策 → 贸易摩擦 → 相关行业
全球央行协同/分化 → 汇率波动 → 跨境资金

Step 5: 输出

风格说明

维度	formal（机构跨市场研究）	brief（快速跨市场参考）
篇幅	4-8 页	1-2 页
市场覆盖	A股+美股+港股+商品+汇率全覆盖	聚焦用户关心的2-3个市场
相关性分析	完整相关系数矩阵+滞后分析	定性描述联动方向和强度
AH溢价	完整AH溢价表+历史对比	整体溢价水平+异常个股
传导机制	详细多路径分析	核心传导链1-2条
历史对比	类似历史情景回顾	不需要
免责声明	需要	不需要

关键规则

相关不等于因果：两个市场同涨同跌不代表存在因果关系，可能受同一因素驱动
联动强度因阶段而异：A股受外盘影响程度在不同市场阶段差异显著（牛市中后期更独立，恐慌阶段高度联动）
AH溢价有制度基础：AH溢价不会归零，因为A/H两地存在投资者结构、流动性、交易制度的系统性差异
汇率影响因行业而异：人民币贬值对出口型企业利好，对进口依赖型/美元债较多企业利空，不可一概而论
时差与交易时间：美股收盘→A股开盘有时差，需注意盘后/盘前信息；港股与A股交易时间有重叠
数据来源标注：跨市场数据来源多样，务必标注每项数据的来源和时间点
与其他 skill 联动：跨市场分析结论可指导 a-share-sector（受影响行业）、a-share-northbound（北向资金分析）、a-share-macro（宏观政策背景）

使用示例

示例 1: 基本使用

python

# 调用 skill
result = run_skill({
    "param1": "value1",
    "param2": "value2"
})

示例 2: 命令行使用

bash

python scripts/run_skill.py --input data.json

Files

SKILL.md and 1 other file (references) in skills/a-share-cross-market of aifinlab/FinClaw.

SKILL.md
references/cross-market-guide.md

Open the folder on GitHubat commit 9e62862

Compare with similar skills

A Share Cross Market next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

A Share Cross Market compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
A Share Cross Market this skillaifinlab/FinClaw	255	—	~1k	Automated safety check: Pass	Apache-2.0	5 mo ago
ShareClickHouse/ClickHouse	50k	—	~558	Automated safety check: Notes	Apache-2.0	today
Developing Share PagesTriliumNext/Trilium	38k	—	~3.7k	Automated safety check: Pass	AGPL-3.0	today
SharingBuilderIO/agent-native	7.1k	—	~3.4k	Automated safety check: Pass	None	yesterday
Deslop Shared Libsgarrytan/gstack	136k	—	~3.3k	Automated safety check: Notes	MIT	today
Skill Sharedavila7/claude-code-templates	33k	10 repos	~729	Automated safety check: Pass	MIT	today

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Questions about A Share Cross Market

What does A Share Cross Market do?

跨市场联动分析（A股/港股/美股/大宗商品）。当用户说"跨市场"、"联动"、"A股和美股"、"港股联动"、"AH溢价"、"中概股"、"美股跌了A股会跌吗"、"原油对A股影响"、"汇率影响"、"cross market"、"人民币贬值利好什么"、"跨市场联动"、"全球市场"时触发。MUST USE when user asks about cross-market correlation, AH…. A Share Cross Market is an agent skill from aifinlab/FinClaw. 跨市场联动分析（A股/港股/美股/大宗商品）。当用户说"跨市场"、"联动"、"A股和美股"、"港股联动"、"AH溢价"、"中概股"、"美股跌了A股会跌吗"、"原油对A股影响"、"汇率影响"、"cross market"、"人民币贬值利好什么"、"跨市场联动"、"全球市场"时触发。MUST USE when user asks about cross-market correlation, AH premium, how US/HK markets affect A-shares, or commodity/FX impact on Chinese stocks.

When should I use A Share Cross Market?

A Share Cross Market fits situations like: user asks about cross-market correlation; how US/HK markets affect A-shares; commodity/FX impact on Chinese stocks.

How do I install A Share Cross Market in Claude Code?

Run `npx skills add aifinlab/FinClaw --skill a-share-cross-market -a claude-code`. Or copy the skill folder (skills/a-share-cross-market in aifinlab/FinClaw) into .claude/skills/a-share-cross-market in your project. Claude Code loads it when a task matches its description.

How do I install A Share Cross Market in Codex?

Run `npx skills add aifinlab/FinClaw --skill a-share-cross-market -a codex`. Or copy the skill folder (skills/a-share-cross-market in aifinlab/FinClaw) into .agents/skills/a-share-cross-market in your project. Codex loads it when a task matches its description.

Can I use A Share Cross Market in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aifinlab/FinClaw --skill a-share-cross-market -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/a-share-cross-market, .gemini/skills/a-share-cross-market, .github/skills/a-share-cross-market and .opencode/skills/a-share-cross-market in your project.

What does A Share Cross Market need to run?

Going by SKILL.md and its folder, A Share Cross Market needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does A Share Cross Market access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is A Share Cross Market safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does A Share Cross Market use?

A Share Cross Market is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does A Share Cross Market use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to A Share Cross Market?

Skills that share tags, products or a category with A Share Cross Market: Share (ClickHouse/ClickHouse, 50k stars), Developing Share Pages (TriliumNext/Trilium, 38k stars), Sharing (BuilderIO/agent-native, 7.1k stars) and Deslop Shared Libs (garrytan/gstack, 136k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains A Share Cross Market?

aifinlab (a GitHub user) maintains it in aifinlab/FinClaw, which has 255 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on May 13, 2026.

Source: aifinlab/FinClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install A Share Cross Market

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

数据源

Workflow (5 steps):

风格说明

关键规则

使用示例

示例 1: 基本使用

示例 2: 命令行使用

Files

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Questions about A Share Cross Market