← 返回 Skills 市场
1920
总下载
0
收藏
13
当前安装
1
版本数
在 OpenClaw 中安装
/install trading-brain
功能描述
Load Travis's personal trading strategy and rules to guide aggressive trades, focusing on early-stage next-wave market opportunities and strict risk limits.
安全使用建议
This skill reads and updates specific local scripts and files and expects brokerage data (Alpaca) even though it declares no credentials or installs. Before installing or enabling it: 1) Inspect the referenced files (~/clawd/integrations/serper/search.sh, ~/Documents/GitHub/trade-bot/config.yaml, ~/clawd/memory/trading/*) to see if they contain API keys or other secrets. 2) Do not grant filesystem or Alpaca API access to the agent until you verify those files and scripts are trustworthy. 3) Prefer explicit environment variables or an authorization prompt for any brokerage keys instead of implicit file access. 4) If you plan to let the agent execute trades, require explicit, human-confirmed approval for each order (no autonomous live trading) and test in a sandbox/demo account. 5) If you want to proceed, ask the skill author to (a) declare required credentials and integrations, (b) explain how Alpaca access is obtained and limited, and (c) remove or document any file reads so you can audit them. These steps reduce the risk of accidental secret exposure or unexpected trading actions.
功能分析
Type: OpenClaw Skill
Name: trading-brain
Version: 1.0.0
The `SKILL.md` file instructs the AI agent to execute a shell script (`~/clawd/integrations/serper/search.sh`) with a dynamic 'query' parameter. This direct command execution instruction creates a significant shell injection vulnerability if the agent or the `search.sh` script does not properly sanitize the 'query' input, potentially leading to arbitrary command execution. While other file system operations are present, they appear to be for legitimate configuration and logging within the agent's operational directories, and there is no clear evidence of intentional malicious behavior like data exfiltration or persistence.
能力评估
Purpose & Capability
The stated purpose (load a trader's rules and guide trading decisions) matches the instruction content: scanning news, following trading rules, and checking current positions. However the skill references specific integrations (a local serper script), a brokerage (Alpaca), and many local repo/memory paths which are not declared as required resources. Those references are plausible for a trading assistant, but their omission from the declared requirements is a coherence gap.
Instruction Scope
SKILL.md explicitly directs the agent to read and update multiple local files and scripts (e.g., ~/clawd/integrations/serper/search.sh, ~/Documents/GitHub/trade-bot/config.yaml, ~/clawd/memory/trading/*, trackers). It also instructs to 'update from Alpaca before deciding' without specifying how credentials are provided. The instructions therefore assume access to filesystem state and external brokerage data that are outside the skill's declared surface — this is scope creep and a red flag.
Install Mechanism
No install spec or code files are present (instruction-only). That minimizes disk writes or remote code installs, which is lower risk — but it also means the SKILL.md's runtime expectations (local scripts/configs) are the main attack surface.
Credentials
The skill requests no environment variables or credentials but expects access to brokerage data (Alpaca) and local config files that likely contain API keys or secrets. The absence of declared credentials is disproportionate to the behavior implied by the instructions. Any agent run that grants filesystem or brokerage access would expose sensitive secrets without the skill making that explicit.
Persistence & Privilege
always is false and there are no install scripts or persistent modifications declared. Autonomous invocation is allowed by platform default; that is normal but increases risk if the agent is permitted to act on trading instructions or access secrets — consider restricting execution privileges.
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 trading-brain - 安装完成后,直接呼叫该 Skill 的名称或使用
/trading-brain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
v1.0.0
Travis's personal trading strategy: information edge, next-wave mindset, risk rules, TQQQ/SQQQ, and current positions framework.
元数据
常见问题
Trading Brain 是什么?
Load Travis's personal trading strategy and rules to guide aggressive trades, focusing on early-stage next-wave market opportunities and strict risk limits. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1920 次。
如何安装 Trading Brain?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trading-brain」即可一键安装,无需额外配置。
Trading Brain 是免费的吗?
是的,Trading Brain 完全免费(开源免费),可自由下载、安装和使用。
Trading Brain 支持哪些平台?
Trading Brain 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 Trading Brain?
由 Travis Li(@travislius)开发并维护,当前版本 v1.0.0。
推荐 Skills