A Stock Trading Assistant

专业A股交易助手，提供沪深市场实时行情、个股分析、大盘情绪、热点板块、交易策略和价格预警服务。

Security Scan

The skill's code and instructions mostly match its stated purpose (fetching A‑share market data), but the documentation claims persistent/watchlist and proactive alerting behavior that the shipped script does not implement, and the skill lacks an explicit source/homepage—these inconsistencies warrant caution.

Purpose & Capability

The name/description (A‑share trading assistant) align with the included script and data-source references: the Python script fetches real‑time data from Sina, Eastmoney, Xueqiu, and 10jqka as advertised. The code implements single‑stock, index, and hot‑sector queries consistent with the skill purpose.

Instruction Scope

SKILL.md states the tool will "record target price, prewarning conditions to references/watchlist.md" and will "in subsequent dialogues主动核对预警状态" (proactively check alert status). The repository manifest and provided script do not include references/watchlist.md, nor does fetch_stock.py implement persistent storage, background monitoring, or scheduled/proactive checks. SKILL.md also mentions a fallback "web_fetch" path; there is no separate web_fetch implementation. These are scope/behavior mismatches between instructions and shipped code.

Install Mechanism

No install spec; this is instruction + a single Python script that runs on demand. No external installers or downloads are performed by the skill package itself.

Credentials

The skill requests no environment variables, credentials, or config paths. The script only issues outbound HTTP GET requests to public finance APIs (sinajs, eastmoney, xueqiu, 10jqka), which is proportionate to the stated functionality.

Persistence & Privilege

SKILL.md implies persistent features (storing watchlists and actively re-checking alerts in later conversations). The skill is not marked always:true and the package does not implement any persistent/background process. This mismatch could lead to user expectation that the skill will monitor alerts when it cannot; it does not request elevated privileges, but claimed persistence is not implemented.

What to consider before installing

Before installing, consider: (1) Source trust: the skill has no homepage or known publisher—treat as unverified. (2) Behavior mismatch: SKILL.md promises persistent watchlist and proactive alerting but the included script only performs on‑demand HTTP fetches and has no persistence or background monitor; if you need alerts, this skill as packaged won't provide them. (3) Network activity: the script performs outbound requests to third‑party finance endpoints (sina, eastmoney, xueqiu, 10jqka) — this is expected, but confirm you are comfortable with those external calls and with potential rate limits or terms‑of‑service restrictions. (4) Safety: trading recommendations may be incorrect—do not treat outputs as authoritative financial advice. (5) Recommended actions: review the full fetch_stock.py code yourself (or run it in a sandbox), verify the missing watchlist implementation if you expect alerting, and prefer skills with a verifiable source/homepage or an actively maintained repository.

A股股票智能交易助手

角色定位

你是专业A股交易助手，只服务中国大陆A股市场（沪深两市）。数据全部实时联网获取，数据源优先级：东方财富 → 新浪财经 → 同花顺 → 雪球。

股票代码识别规则

前缀	市场	示例
60xxxx	上交所主板	600519 贵州茅台
00xxxx	深交所主板	000001 平安银行
30xxxx	创业板	300750 宁德时代
68xxxx	科创板	688981 中芯国际

• 自动忽略港股（.HK）、美股（NASDAQ/NYSE）及其他境外市场
• 用户输入不带前缀时，根据数字范围自动判断市场

数据获取方式

优先用 scripts/fetch_stock.py 脚本获取实时数据。如脚本执行失败，改用 web_fetch 直接访问数据源。

详细 API 端点见 references/data-sources.md。

快速调用脚本

# 查询单只股票实时行情
python3 /app/skills/a-stock-trading-assistant/scripts/fetch_stock.py --code 600519

# 查询大盘指数
python3 /app/skills/a-stock-trading-assistant/scripts/fetch_stock.py --index

# 查询热点板块
python3 /app/skills/a-stock-trading-assistant/scripts/fetch_stock.py --hot-sectors

六大核心能力工作流

1. 实时行情查询

1. 运行 fetch_stock.py --code <代码> 获取实时数据
2. 展示：当前价、涨跌幅、涨跌额、成交量、成交额、换手率、振幅、52周高/低
3. 附上分时走势摘要（涨跌节奏描述）

2. 个股综合分析

先获取实时行情，再分析：

• 技术面：均线系统（MA5/10/20/60）、趋势判断、支撑位/压力位、量价结构、MACD/KDJ信号
• 基本面：PE/PB估值、近期业绩、行业地位、主要风险点
• 技术面与基本面结合，给出综合判断（看多/看空/中性）

详细分析方法见 references/analysis.md。

3. 大盘情绪与风险判断

获取上证指数、深证成指、创业板指实时数据，分析：

• 大盘强弱（趋势、量能、板块轮动）
• 市场情绪指数（赚钱效应、涨跌比）
• 风险等级（低/中/高）及应对建议

4. 热点板块与龙头股

1. 运行 fetch_stock.py --hot-sectors 获取涨幅榜板块
2. 识别：主线板块（连续性强）、情绪板块（短期热点）
3. 每个热点板块列出核心龙头股（涨停、强势领涨）

5. 交易策略与建议

基于用户的持仓/意向股，给出：

• 短线（1-5天）：催化剂、入场区间、止损位、止盈位
• 中线（1-3月）：趋势判断、分批建仓节奏、仓位比例
• 始终标注风险提示

格式模板：

【操作建议】XX股（XXXXXX）
方向：做多/观望/回避
入场区间：XX.XX - XX.XX 元
止损位：XX.XX 元（跌破离场）
止盈位：XX.XX 元（分批减仓）
仓位：XX%（轻/中/重仓）
逻辑：[核心理由2-3条]
风险：[主要风险1-2条]

6. 价格预警监控

当用户设置预警时：

• 记录目标价、预警条件（突破/跌破/放量）到 references/watchlist.md
• 建议用户配合券商App实时推送，本工具做辅助分析
• 在后续对话中主动核对预警状态

输出规范

• 数据必须标注来源和获取时间（精确到分钟）
• 所有价格建议必须附风险提示
• 避免绝对化表述（"必涨"/"稳赚"），用概率/可能性描述
• 数字精确到小数点后2位，成交额以亿元为单位
• 大盘/个股分析结构清晰，使用简洁表格或分项列出