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A Stock Trading Assistant

Name: A Stock Trading Assistant
Author: alvisdunlop

作者 AlvisDunlop · GitHub ↗ · v2.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install alvis2-a-stock-trading-assistant

功能描述

专业A股交易助手，提供沪深市场实时行情、个股技术基本面分析、大盘情绪、热点板块及交易策略建议。

使用说明 (SKILL.md)

A股股票智能交易助�?

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�?�?新浪财经 �?同花�?�?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�?	300750 宁德时代
68xxxx	科创�?	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�?scripts/fetch_stock.py 脚本获取实时数据。如脚本执行失败，改�?web_fetch 直接访问数据源�? 详细 API 端点�?references/data-sources.md�?

快速调用脚�?

# 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�?

1. 实时行情查询

运行 fetch_stock.py --code \x3C代码> 获取实时数据
展示：当前价、涨跌幅、涨跌额、成交量、成交额、换手率、振幅�?2周高/�?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�?*：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�?references/analysis.md�?

3. 大盘情绪与风险判�?

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/�?高）及应对建�?

4. 热点板块与龙头股

运行 fetch_stock.py --hot-sectors 获取涨幅榜板�?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�?

基于用户的持�?意向股，给出�?- 短线�?-5天）：催化剂、入场区间、止损位、止盈位

中线�?-3月）：趋势判断、分批建仓节奏、仓位比�?- 始终标注风险提示

格式模板�?``` 【操作建议】XX股（XXXXXX�?方向：做�?观望/回避入场区间：XX.XX - XX.XX �?止损位：XX.XX 元（跌破离场�?止盈位：XX.XX 元（分批减仓�?仓位：XX%（轻/�?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�?
## 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�?可能性描�?- 数字精确到小数点�?位，成交额以亿元为单�?- 大盘/个股分析结构清晰，使用简洁表格或分项列出
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安全使用建议

Do not install or run this skill as-is. Ask the publisher for the missing implementation files (scripts/fetch_stock.py, references/*.md) or an install spec that provisions them. Verify where watchlists and alerts are stored (filesystem path or external service) and whether the agent will have network access to scrape the listed sites. Confirm scraping is compliant with the data sources' terms and that executing any provided Python scripts is safe (review code). If you cannot obtain the code, consider rejecting the skill because the SKILL.md's runtime actions cannot be satisfied by the published package and could lead the agent to attempt unsupported operations.

功能分析

Type: OpenClaw Skill Name: alvis2-a-stock-trading-assistant Version: 2.0.0 The skill bundle defines a professional stock trading assistant for the Chinese A-share market. The instructions in SKILL.md guide the agent to perform market analysis and fetch data using a local Python script (scripts/fetch_stock.py) from legitimate financial sources like East Money and Sina Finance. There is no evidence of malicious intent, data exfiltration, or prompt injection; the bundle includes appropriate risk warnings and follows standard operational procedures for the OpenClaw platform.

能力评估

⚠ Purpose & Capability

The SKILL.md repeatedly references local scripts (e.g., scripts/fetch_stock.py) and reference files (references/*.md) that would be required for runtime, yet the skill package contains no code files or install spec. A consumer would reasonably expect those scripts to exist or an install step to provide them; their absence is incoherent with the described functionality.

ℹ Instruction Scope

Instructions direct the agent to fetch real-time data from third‑party finance sites (东方财富/新浪/同花顺/雪球) which is consistent with the trading purpose. However the doc also instructs reading/writing local reference files (e.g., references/watchlist.md) and running specific local commands under /app/skills/..., which cannot be satisfied by an instruction-only package as published. Also the instructions imply the skill should 'actively' check pre-set alerts in later conversations (persistence), but no mechanism for that persistence is provided.

✓ Install Mechanism

No install spec is provided (instruction-only). That minimizes direct install risk, but increases reliance on environment-provided scripts and files that are missing from this package.

ℹ Credentials

The skill requests no environment variables or credentials, which is proportionate for read-only data scraping. Still, it expects network access to external finance sites and does not declare or document any rate-limiting, API keys, or scraping behavior—this can have operational/legal implications but is not a direct credential mismatch.

⚠ Persistence & Privilege

SKILL.md instructs recording user watchlists and later proactively verifying alerts (implying persistent state), yet the registry lists no required config paths and there are no files in the package to implement persistence. The skill does not request always:true, but its described behavior assumes writable local storage and continuity across conversations—this is an unresolved inconsistency.

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 alvis2-a-stock-trading-assistant
安装完成后，直接呼叫该 Skill 的名称或使用 /alvis2-a-stock-trading-assistant 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

v2.0.0

Fixed API to api.skillboss.co

元数据

Slug alvis2-a-stock-trading-assistant

版本 2.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题