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Agent skill

Stock Manager

by LeoYeAI in LeoYeAI/openclaw-master-skills

股票管理技能，支持股票订单管理、交易规则管理和股票信息获取。支持A股、港股、美股等多种股票类型，使用本地文本目录存储数据。Use when user wants to manage stock orders, trading rules or get stock information including adding, deleting, updating, and querying…

MITAuto-check passedBusiness, Finance & HR

Install Stock Manager

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill stock-manager -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills stock-manager --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/stock-manage-skill .claude/skills/stock-manager && 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/

Facts

Skill name
stock-manager
GitHub stars
2.2k
Token cost
~3.2k tokens
SKILL.md length
278 words
Files
12
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

股票管理技能，支持股票订单管理、交易规则管理和股票信息获取。支持A股、港股、美股等多种股票类型，使用本地文本目录存储数据。Use when user wants to manage stock orders, trading rules or get stock information including adding, deleting, updating, and querying…

  • Works in 8 steps: 股票订单管理 → 股票信息获取 → 交易规则管理 → …
  • User wants to manage stock orders
  • SKILL.md covers 功能特性, 数据存储结构, 常用命令 and 配置说明, plus 3 more sections
  • Runs Python scripts from its folder; calls python

What it does

Stock Manager is an agent skill from LeoYeAI/openclaw-master-skills. 股票管理技能，支持股票订单管理、交易规则管理和股票信息获取。支持A股、港股、美股等多种股票类型，使用本地文本目录存储数据。Use when user wants to manage stock orders, trading rules or get stock information including adding, deleting, updating, and querying orders and rules, and fetching real-time stock data.

Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files (for example `__init__.py`, `_meta.json` and `command_parser.py`).

It sits in Business, Finance & HR, covering Trading and backtesting and Skill management. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • User wants to manage stock orders
  • Get stock information including adding
  • Querying orders and rules
  • Fetching real-time stock data

Example prompts

  • “/stock-manager”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. 股票订单管理
  2. 股票信息获取
  3. 交易规则管理
  4. 日志管理
  5. 订单管理
  6. 交易规则管理
  7. 股票信息获取
  8. 日志管理

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    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

Stock Manager loads about 3.2k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 278 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~3.2k

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 LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 278 words, ~3,191 tokens.

Download SKILL.mdSave it as .claude/skills/stock-manager/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.
name
stock-manager
description
股票管理技能，支持股票订单管理、交易规则管理和股票信息获取。支持A股、港股、美股等多种股票类型，使用本地文本目录存储数据。Use when user wants to manage stock orders, trading rules or get stock information including adding, deleting, updating, and querying orders and rules, and fetching real-time stock data.

Stock Manager - 股票管理技能

本地化的股票管理系统，支持股票订单管理、交易规则管理和股票信息获取，支持A股、美股、港股等多种股票类型，所有数据存储在本地文本文件中。

功能特性

1. 股票订单管理

管理股票的买入订单，包含完整的CRUD操作：

功能特性：

  • 添加股票买入订单（支持交易平台和购买数量）
  • 记录买入时间、价格、股票类型、交易平台、购买数量
  • 支持订单状态管理（持有、已卖出、已止损等）
  • 支持按股票类型、状态、交易平台筛选订单
  • 自动备份机制：每次修改订单时自动备份orders.json
  • 备份管理：自动保留最近10个备份文件

使用方法：

bash
# 添加订单
python main.py order add --code 600000 --name 浦发银行 --buy-time "2026-03-14 10:00:00" --buy-price 8.50 --type A股 --platform 富途 --quantity 100

# 列出所有订单
python main.py order list

# 按状态筛选订单
python main.py order list --status 持有

# 按股票类型筛选订单
python main.py order list --type 美股

# 按交易平台筛选订单
python main.py order list --platform 富途

# 获取订单详情
python main.py order get --id ORDER_20260314123456_1

# 更新订单状态
python main.py order update --id ORDER_20260314123456_1 --status 已卖出

# 删除订单
python main.py order delete --id ORDER_20260314123456_1

# 查看备份文件
python main.py order backup list

# 清理多余备份（保留最近10个）
python main.py order backup cleanup
2. 股票信息获取

获取A股、港股、美股的实时股票信息：

功能特性：

  • 支持A股、港股、美股多市场股票信息获取
  • 优先使用腾讯证券API获取实时数据
  • 支持多数据源备用机制（akshare、yfinance、Yahoo Finance API）
  • 自动识别股票代码市场类型
  • 每日JSON文件存储：每天一个JSON文件记录所有股票信息
  • 自动清理30天前的旧数据
  • 无需API Key，直接使用公开API

使用方法：

bash
# 获取单个股票信息
python main.py stock get --code 002594

# 批量获取多个股票信息
python main.py stock get --code 002594,00700,03690,TSLA

# 获取指定日期的股票信息
python main.py stock get --code 002594 --date 20260315

# 列出所有已获取的股票信息
python main.py stock list

# 查看股票信息详情
python main.py stock show --code 002594

# 清理旧数据（30天前）
python main.py stock cleanup --days 30

股票代码格式：

  • A股：6位数字代码（如：002594, 601857）
  • 港股：5位数字代码（如：00700, 03690）
  • 美股：字母代码（如：TSLA, AAPL）

系统自动处理：

  • 用户只需要传入纯股票代码，系统自动添加市场前缀
  • A股：002594 → sz002594（深圳）、601857 → sh601857（上海）
  • 港股：00700 → hk00700
  • 美股：TSLA → usTSLA
3. 交易规则管理

管理股票的买入规则和卖出规则，支持完整的CRUD操作：

功能特性：

  • 添加买入规则和卖出规则
  • 支持自定义触发条件和执行动作
  • 支持按股票类型、股票代码设置规则
  • 支持规则的启用/禁用状态管理
  • 自动备份机制：每次修改规则时自动备份rules.json
  • 备份管理：自动保留最近10个备份文件

使用方法：

bash
# 添加买入规则
python main.py rule add --type 买入规则 --name "价格低于均线买入" --description "当价格低于20日均线时买入" \
  --conditions '[{"indicator": "price", "operator": "<", "value": "ma20"}]' \
  --actions '[{"type": "buy", "quantity": 100}]'

# 添加卖出规则
python main.py rule add --type 卖出规则 --name "盈利超过10%卖出" --description "当盈利超过10%时卖出" \
  --conditions '[{"indicator": "profit_percent", "operator": ">", "value": 10}]' \
  --actions '[{"type": "sell", "quantity": "all"}]'

# 列出所有规则
python main.py rule list

# 按规则类型筛选
python main.py rule list --type 买入规则

# 按股票类型筛选
python main.py rule list --stock-type A股

# 按股票代码筛选
python main.py rule list --stock-code 600000

# 只显示启用的规则
python main.py rule list --enabled

# 获取规则详情
python main.py rule get --id RULE_20260314123456_1

# 更新规则
python main.py rule update --id RULE_20260314123456_1 --name "新规则名称" --description "新描述"

# 删除规则
python main.py rule delete --id RULE_20260314123456_1

# 切换规则启用状态
python main.py rule toggle --id RULE_20260314123456_1

# 查看备份文件
python main.py rule backup list

# 清理多余备份（保留最近10个）
python main.py rule backup cleanup

规则数据格式：

触发条件示例：

json
[
  {"indicator": "price", "operator": "<", "value": "ma20"},
  {"indicator": "volume", "operator": ">", "value": 1000000}
]

执行动作示例：

json
[
  {"type": "buy", "quantity": 100},
  {"type": "notification", "message": "买入信号触发"}
]

支持的指标：

  • price: 当前价格
  • ma5, ma10, ma20: 5日、10日、20日均线
  • volume: 成交量
  • profit_percent: 盈利百分比
  • loss_percent: 亏损百分比

支持的操作符：

  • : 大于

  • <: 小于

  • =: 大于等于

  • <=: 小于等于
  • ==: 等于
  • !=: 不等于

支持的动作类型：

  • buy: 买入
  • sell: 卖出
  • notification: 发送通知
  • log: 记录日志
4. 日志管理

自动管理日志文件：

功能特性：

  • 自动清理7天前的旧日志文件
  • 支持查看日志文件列表
  • 支持查看日志目录大小
  • 支持删除指定日志文件

使用方法：

bash
# 列出所有日志文件
python main.py log list

# 查看日志目录大小
python main.py log size

# 清理7天前的旧日志
python main.py log cleanup

# 删除指定日志文件
python main.py log delete --filename stock_info_20260315.log

数据存储结构

所有数据存储在本地文本文件中，便于查看和管理：

stock_predict_skill/
├── data/                          # 数据存储根目录
│   ├── orders/                    # 订单信息
│   │   ├── orders.json            # 当前订单
│   │   └── orders.json_*         # 历史备份（保留最近10个）
│   ├── rules/                     # 交易规则
│   │   ├── rules.json             # 当前规则
│   │   └── rules.json_*          # 历史备份（保留最近10个）
│   ├── stock_info/                # 股票信息
│   │   └── 20260315/              # 按日期分目录
│   │       └── stock_info_20260315.json  # 每日JSON文件
│   └── logs/                      # 日志文件
│       ├── stock_order_20260315.log
│       ├── stock_info_20260315.log
│       ├── stock_rule_20260315.log
│       └── log_manager_20260315.log
├── README.md                      # 项目说明
├── SKILL.md                       # 本文件
├── main.py                        # 主入口
├── stock_order.py                 # 股票订单管理模块
├── stock_info.py                  # 股票信息获取模块
├── stock_rule.py                  # 交易规则管理模块
├── log_manager.py                 # 日志管理模块
├── config.py                      # 配置文件
├── command_parser.py              # 命令解析脚本
└── openclaw_entry.py             # OpenClaw入口脚本

常用命令

1. 订单管理
bash
# 添加订单
python main.py order add --code 600000 --name 浦发银行 --buy-time "2026-03-14 10:00:00" --buy-price 8.50 --type A股 --platform 富途 --quantity 100

# 列出所有订单
python main.py order list

# 按状态筛选订单
python main.py order list --status 持有

# 按股票类型筛选订单
python main.py order list --type 美股

# 按交易平台筛选订单
python main.py order list --platform 富途

# 获取订单详情
python main.py order get --id ORDER_20260314123456_1

# 更新订单状态
python main.py order update --id ORDER_20260314123456_1 --status 已卖出

# 删除订单
python main.py order delete --id ORDER_20260314123456_1

# 查看备份文件
python main.py order backup list

# 清理多余备份（保留最近10个）
python main.py order backup cleanup
2. 交易规则管理
bash
# 添加买入规则
python main.py rule add --type 买入规则 --name "价格低于均线买入" --description "当价格低于20日均线时买入" \
  --conditions '[{"indicator": "price", "operator": "<", "value": "ma20"}]' \
  --actions '[{"type": "buy", "quantity": 100}]'

# 添加卖出规则
python main.py rule add --type 卖出规则 --name "盈利超过10%卖出" --description "当盈利超过10%时卖出" \
  --conditions '[{"indicator": "profit_percent", "operator": ">", "value": 10}]' \
  --actions '[{"type": "sell", "quantity": "all"}]'

# 列出所有规则
python main.py rule list

# 按规则类型筛选
python main.py rule list --type 买入规则

# 按股票类型筛选
python main.py rule list --stock-type A股

# 按股票代码筛选
python main.py rule list --stock-code 600000

# 只显示启用的规则
python main.py rule list --enabled

# 获取规则详情
python main.py rule get --id RULE_20260314123456_1

# 更新规则
python main.py rule update --id RULE_20260314123456_1 --name "新规则名称" --description "新描述"

# 删除规则
python main.py rule delete --id RULE_20260314123456_1

# 切换规则启用状态
python main.py rule toggle --id RULE_20260314123456_1

# 查看备份文件
python main.py rule backup list

# 清理多余备份（保留最近10个）
python main.py rule backup cleanup
3. 股票信息获取
bash
# 获取单个股票信息
python main.py stock get --code 002594

# 批量获取多个股票信息
python main.py stock get --code 002594,00700,03690,TSLA

# 获取指定日期的股票信息
python main.py stock get --code 002594 --date 20260315

# 列出所有已获取的股票信息
python main.py stock list

# 查看股票信息详情
python main.py stock show --code 002594

# 清理旧数据（30天前）
python main.py stock cleanup --days 30
4. 日志管理
bash
# 列出所有日志文件
python main.py log list

# 查看日志目录大小
python main.py log size

# 清理7天前的旧日志
python main.py log cleanup

# 删除指定日志文件
python main.py log delete --filename stock_info_20260315.log

配置说明

编辑 config.py 文件配置：

python
# 数据存储目录
DATA_DIR = "data"

注意事项

  1. 数据存储：所有数据存储在本地文本文件中，无网络依赖
  2. 订单管理：订单信息存储在本地文件中，每次修改自动备份，保留最近10个备份
  3. 规则管理：交易规则存储在本地文件中，每次修改自动备份，保留最近10个备份
  4. 股票信息：股票信息按日期分目录存储，每天一个JSON文件记录所有股票信息
  5. API依赖：股票信息获取需要网络连接，优先使用腾讯证券API
  6. 日志管理：日志文件自动清理7天前的旧数据

故障排查

如遇问题，请检查：

  1. 数据目录是否创建
  2. Python依赖是否安装
  3. 配置文件是否正确
  4. 网络连接是否正常（股票信息获取需要）

OpenClaw 集成

配置说明
  1. 技能定义：SKILL.md - 定义了股票管理技能的配置和功能
  2. 入口脚本：openclaw_entry.py - 处理OpenClaw的请求并调用股票管理功能
  3. 命令解析脚本：command_parser.py - 解析用户的自然语言命令并调用股票管理功能
在OpenClaw中调用
1. 添加股票订单

命令格式：保存股票订单 <股票代码> <股票名称> <买入价格> <股票类型> [交易平台] [购买数量]

示例：

保存股票订单 600000 浦发银行 8.50 A股 富途 100

OpenClaw调用：

python
toolcall(
    name="add_stock_order",
    params={
        "stock_code": "600000",
        "stock_name": "浦发银行",
        "buy_time": "2026-03-14 10:00:00",  # 自动生成当前时间
        "buy_price": 8.50,
        "stock_type": "A股",
        "platform": "富途",
        "quantity": 100
    }
)
2. 列出股票订单

命令格式：查看股票订单 [状态] [股票类型] [交易平台]

示例：

查看股票订单
查看股票订单 持有
查看股票订单 A股
查看股票订单 持有 A股
查看股票订单 富途

OpenClaw调用：

python
toolcall(
    name="list_stock_orders",
    params={
        "status": "持有",  # 可选
        "stock_type": "A股",  # 可选
        "platform": "富途"  # 可选
    }
)
3. 获取订单详情

命令格式：查看订单详情 <订单ID>

示例：

查看订单详情 ORDER_20260314100000_1

OpenClaw调用：

python
toolcall(
    name="get_stock_order",
    params={
        "order_id": "ORDER_20260314100000_1"
    }
)
4. 更新订单状态

命令格式：更新订单状态 <订单ID> <新状态>

示例：

更新订单状态 ORDER_20260314100000_1 已卖出

OpenClaw调用：

python
toolcall(
    name="update_stock_order_status",
    params={
        "order_id": "ORDER_20260314100000_1",
        "status": "已卖出"
    }
)
5. 删除订单

命令格式：删除订单 <订单ID>

示例：

删除订单 ORDER_20260314100000_1

OpenClaw调用：

python
toolcall(
    name="delete_stock_order",
    params={
        "order_id": "ORDER_20260314100000_1"
    }
)
6. 获取股票信息

命令格式：获取股票信息 <股票代码>

示例：

获取股票信息 002594
获取股票信息 00700
获取股票信息 TSLA

OpenClaw调用：

python
toolcall(
    name="get_stock_info",
    params={
        "stock_code": "002594"
    }
)
7. 批量获取股票信息

命令格式：获取股票信息 <股票代码1>,<股票代码2>,<股票代码3>

示例：

获取股票信息 002594,00700,03690,TSLA

OpenClaw调用：

python
toolcall(
    name="get_stock_info",
    params={
        "stock_codes": ["002594", "00700", "03690", "TSLA"]
    }
)
8. 列出股票信息

命令格式：列出股票信息

示例：

列出股票信息

OpenClaw调用：

python
toolcall(
    name="list_stock_info",
    params={}
)
9. 添加交易规则

命令格式：添加交易规则 <规则类型> <规则名称> <规则描述>

示例：

添加交易规则 买入规则 价格低于均线买入 当价格低于20日均线时买入

OpenClaw调用：

python
toolcall(
    name="add_trading_rule",
    params={
        "rule_type": "买入规则",
        "rule_name": "价格低于均线买入",
        "rule_description": "当价格低于20日均线时买入",
        "conditions": [{"indicator": "price", "operator": "<", "value": "ma20"}],
        "actions": [{"type": "buy", "quantity": 100}],
        "stock_type": "A股"
    }
)
10. 列出交易规则

命令格式：查看交易规则 [规则类型] [股票类型] [股票代码]

示例：

查看交易规则
查看交易规则 买入规则
查看交易规则 A股
查看交易规则 买入规则 A股
查看交易规则 600000

OpenClaw调用：

python
toolcall(
    name="list_trading_rules",
    params={
        "rule_type": "买入规则",  # 可选
        "stock_type": "A股",  # 可选
        "stock_code": "600000"  # 可选
    }
)
11. 获取规则详情

命令格式：查看规则详情 <规则ID>

示例：

查看规则详情 RULE_20260314100000_1

OpenClaw调用：

python
toolcall(
    name="get_trading_rule",
    params={
        "rule_id": "RULE_20260314100000_1"
    }
)
12. 更新规则

命令格式：更新规则 <规则ID> <新规则名称> <新规则描述>

示例：

更新规则 RULE_20260314100000_1 新规则名称 新规则描述

OpenClaw调用：

python
toolcall(
    name="update_trading_rule",
    params={
        "rule_id": "RULE_20260314100000_1",
        "rule_name": "新规则名称",
        "rule_description": "新规则描述"
    }
)
13. 删除规则

命令格式：删除规则 <规则ID>

示例：

删除规则 RULE_20260314100000_1

OpenClaw调用：

python
toolcall(
    name="delete_trading_rule",
    params={
        "rule_id": "RULE_20260314100000_1"
    }
)
14. 切换规则状态

命令格式：切换规则状态 <规则ID>

示例：

切换规则状态 RULE_20260314100000_1

OpenClaw调用：

python
toolcall(
    name="toggle_trading_rule",
    params={
        "rule_id": "RULE_20260314100000_1"
    }
)
自动增加日期

当用户使用命令格式添加股票订单时，系统会自动使用当前日期和时间作为买入时间，无需用户手动输入。

例如，用户输入：

保存股票订单 600000 浦发银行 8.50 A股

系统会自动生成买入时间为当前时间，如：2026-03-14 10:00:00。

股票代码自动识别

系统会根据股票代码格式自动识别市场类型：

  • A股：6位数字代码
    • 6开头：上海证券交易所（如：601857）
    • 0或3开头：深圳证券交易所（如：002594, 300750）
  • 港股：5位数字代码（如：00700, 03690）
  • 美股：纯字母代码（如：TSLA, AAPL）

用户只需要传入纯股票代码，系统会自动处理前缀转换并调用相应的API获取数据。

数据存储说明
  1. 订单数据：存储在 data/orders/orders.json，每次修改自动备份，保留最近10个备份
  2. 规则数据：存储在 data/rules/rules.json，每次修改自动备份，保留最近10个备份
  3. 股票信息：按日期分目录存储，每天一个JSON文件 stock_info_YYYYMMDD.json
  4. 日志文件：存储在 data/logs/ 目录，自动清理7天前的旧日志

github:https://github.com/a925907195/stock_manage_skill

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 11 other files in skills/stock-manage-skill of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • __init__.py
  • _meta.json
  • command_parser.py
  • config.py
  • log_manager.py
  • main.py
  • openclaw_entry.py
  • requirements.txt
  • stock_info.py
  • stock_order.py
  • stock_rule.py

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Stock Manager 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.

Stock Manager compared with similar skills
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Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
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Polyclawchainstacklabs/polyclaw3591 repos~2kAutomated safety check: PassApache-2.0
Markdownfacioquo/stock-indicators-dotnet1.2k—~812Automated safety check: PassApache-2.0

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Categories

Questions about Stock Manager

What does Stock Manager do?

股票管理技能，支持股票订单管理、交易规则管理和股票信息获取。支持A股、港股、美股等多种股票类型，使用本地文本目录存储数据。Use when user wants to manage stock orders, trading rules or get stock information including adding, deleting, updating, and querying…. Stock Manager is an agent skill from LeoYeAI/openclaw-master-skills. 股票管理技能，支持股票订单管理、交易规则管理和股票信息获取。支持A股、港股、美股等多种股票类型，使用本地文本目录存储数据。Use when user wants to manage stock orders, trading rules or get stock information including adding, deleting, updating, and querying orders and rules, and fetching real-time stock data.

When should I use Stock Manager?

Stock Manager fits situations like: user wants to manage stock orders; get stock information including adding; querying orders and rules; fetching real-time stock data.

How do I install Stock Manager in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill stock-manager -a claude-code`. Or copy the skill folder (skills/stock-manage-skill in LeoYeAI/openclaw-master-skills) into .claude/skills/stock-manager in your project. Claude Code loads it when a task matches its description.

How do I install Stock Manager in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill stock-manager -a codex`. Or copy the skill folder (skills/stock-manage-skill in LeoYeAI/openclaw-master-skills) into .agents/skills/stock-manager in your project. Codex loads it when a task matches its description.

Can I use Stock Manager 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 LeoYeAI/openclaw-master-skills --skill stock-manager -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stock-manager, .gemini/skills/stock-manager, .github/skills/stock-manager and .opencode/skills/stock-manager in your project.

What does Stock Manager need to run?

Going by SKILL.md and its folder, Stock Manager needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Stock Manager access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Stock Manager 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 Stock Manager use?

Stock Manager is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Stock Manager use?

About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Stock Manager?

Skills that share tags, products or a category with Stock Manager: Tushare Data (zillionare/zillionare, 321 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 878 stars) and Polyclaw (chainstacklabs/polyclaw, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Stock Manager?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.