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Mock Trading

作者 yadavabhijeet4 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
277
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当前安装
1
版本数
在 OpenClaw 中安装
/install mock-trading
功能描述
Simulate cryptocurrency trading using algorithmic strategies (SMA Crossover, Mean Reversion) without risking real capital. Use when the user wants to start a...
安全使用建议
This skill appears to do what it says: run a paper-trading tick using CoinGecko prices and update a local JSON portfolio. Before installing/running: 1) verify you have a suitable Python runtime and the 'requests' package (pip install requests) because the skill doesn't declare or install them; 2) run the included script in a sandbox or dedicated directory (it will write/overwrite the portfolio JSON you point it at); 3) note that SKILL.md's suggested command 'uv run' is unusual for a Python script—use 'python3 scripts/mock_bot.py --portfolio ./my_portfolio.json --asset bitcoin' or adapt as needed; 4) be aware the script makes outbound requests to api.coingecko.com (public API); if you have strict network policies, run it where outbound HTTP is allowed. If you need the agent to run continuously, scheduling the command is a user decision — the skill does not autonomously persist or exfiltrate data.
功能分析
Type: OpenClaw Skill Name: mock-trading Version: 1.0.0 The skill bundle provides a legitimate mock cryptocurrency trading simulation. The Python script (scripts/mock_bot.py) fetches public market data from the CoinGecko API and manages a local JSON-based virtual portfolio. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the instructions for automation (cron/HEARTBEAT.md) are consistent with the stated purpose of a trading bot.
能力评估
Purpose & Capability
The skill's name/description (mock trading) lines up with the included code: fetching public prices from CoinGecko and updating a local portfolio. Minor mismatch: the SKILL.md recommends running the script with the command 'uv run', but the bundle contains a plain Python script (no install spec) and the skill does not declare the runtime (python) or the 'requests' dependency it uses.
Instruction Scope
Runtime instructions are scoped to copying the provided portfolio template, running the bot tick, scheduling it if desired, and reading the local portfolio file for reports. The instructions do not request reading unrelated files, system credentials, or sending data to unexpected endpoints. Note: they instruct adding the command to a 'HEARTBEAT.md' for automation, which is a user-facing scheduling suggestion rather than hidden behavior.
Install Mechanism
There is no install spec (instruction-only) and the code file is small and human-readable. The script requires Python and the 'requests' library but the skill does not declare these requirements or provide an installation step; users will need to ensure an appropriate Python runtime and requests are available.
Credentials
The skill requests no environment variables, no credentials, and no config paths. It makes outbound requests to the public CoinGecko API (no auth required), which is proportional to the stated purpose.
Persistence & Privilege
The skill is not marked always:true and does not attempt to modify other skills or global agent settings. Its only persistent action is writing/updating a local portfolio JSON file supplied or copied by the user.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install mock-trading
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mock-trading 触发
  4. 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
v1.0.0
- Initial release of the mock-trading-agent skill. - Simulate cryptocurrency trading using algorithmic strategies such as SMA Crossover and Mean Reversion. - Includes a virtual portfolio initialized with $10,000 USD. - Provides a script to fetch live market data, evaluate trading strategies, and execute mock trades. - Supports portfolio monitoring and customizable strategy logic for paper trading sessions.
元数据
Slug mock-trading
版本 1.0.0
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

Mock Trading 是什么?

Simulate cryptocurrency trading using algorithmic strategies (SMA Crossover, Mean Reversion) without risking real capital. Use when the user wants to start a... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 277 次。

如何安装 Mock Trading?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install mock-trading」即可一键安装,无需额外配置。

Mock Trading 是免费的吗?

是的,Mock Trading 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Mock Trading 支持哪些平台?

Mock Trading 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Mock Trading?

由 yadavabhijeet4(@yadavabhijeet4)开发并维护,当前版本 v1.0.0。

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