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在 OpenClaw 中安装
/install stock-watchlist-zh
功能描述
利用 AISA 的实时价格检查来管理股票加密观察列表,并设置目标位和止损提醒。触发条件:当用户想添加观察标的、设置目标价、跟踪止损或检查提醒触发情况时使用。
安全使用建议
This skill appears to do what it says: manage a local watchlist and query an external AISA API using AISA_API_KEY. Before installing: 1) Verify you trust the AISA service and the default base URL (https://api.aisa.one) or set AISA_BASE_URL to a trusted endpoint. 2) Understand that the script uses an LLM-style API call to 'fetch prices' — if the backend is not a real market-data provider it may return hallucinated prices. 3) Ensure you install the Python 'openai' package (or the expected client) in a controlled environment. 4) Review the repository code yourself if you want to be certain no unexpected network requests occur; run it in an isolated environment if you are unsure. 5) Be mindful of where watchlist state is stored (default ./.clawdbot/...), and do not place secrets in that directory.
功能分析
Type: OpenClaw Skill
Name: stock-watchlist-zh
Version: 1.0.0
The skill is a legitimate stock and cryptocurrency watchlist manager that uses the AIsa API to fetch market data and signals. The Python script (scripts/watchlist.py) implements standard CRUD operations and alert logic without any signs of malicious execution, data exfiltration, or obfuscation. Notably, the SKILL.md file includes defensive instructions explicitly telling the AI agent not to use the skill for accessing sensitive local credentials, which is a positive security indicator.
能力标签
能力评估
Purpose & Capability
Name/description (stock watchlist using AISA) match the actual artifacts: a Python script that calls an AISA-compatible API via an OpenAI-style client and stores a local watchlist. Required binary (python3) and required env (AISA_API_KEY) are appropriate for this purpose.
Instruction Scope
SKILL.md and the script are focused on watchlist management and calling the AISA API. The script reads/writes a local JSON state file (default ./ .clawdbot/skills/stock-analysis/watchlist.json) and sends ticker lists and a JSON-oriented prompt to the AISA endpoint. Note: the implementation uses an LLM-style completion to 'fetch current prices' — this is coherent if AISA provides a real data proxy, but could lead to hallucinated prices if the backend is purely LLM. The script also reads CLAWDBOT_STATE_DIR, AISA_BASE_URL, and AISA_MODEL env vars (CLAWDBOT_STATE_DIR is not listed in requires.env but is non-sensitive).
Install Mechanism
No install spec (instruction-only install). There is a Python file with a dependency noted in comments (openai>=1.0.0) but no automated installer; users must ensure python and the OpenAI Python package are installed. No downloads from unknown URLs or extraction steps are present.
Credentials
Only AISA_API_KEY is required and declared as the primary credential. The script optionally reads AISA_BASE_URL, AISA_MODEL, and CLAWDBOT_STATE_DIR; none are sensitive by design except the API key. No unrelated credentials (AWS, GitHub, etc.) are requested.
Persistence & Privilege
always is false and the skill only stores its own watchlist JSON under a skill-scoped path (or a path set by CLAWDBOT_STATE_DIR). It does not alter other skills, system-wide settings, or request permanent platform presence.
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 stock-watchlist-zh - 安装完成后,直接呼叫该 Skill 的名称或使用
/stock-watchlist-zh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
Initial release of stock-watchlist-zh skill.
- 管理股票和加密货币观察列表,支持添加、移除、列出和检查标的。
- 支持为每个标的设置目标价和止损提醒。
- 通过集成 AISA 实时价格检查提供提醒触发功能。
- 默认在本地目录安全存储观察列表状态。
元数据
常见问题
stock-watchlist-zh 是什么?
利用 AISA 的实时价格检查来管理股票加密观察列表,并设置目标位和止损提醒。触发条件:当用户想添加观察标的、设置目标价、跟踪止损或检查提醒触发情况时使用。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 77 次。
如何安装 stock-watchlist-zh?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install stock-watchlist-zh」即可一键安装,无需额外配置。
stock-watchlist-zh 是免费的吗?
是的,stock-watchlist-zh 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
stock-watchlist-zh 支持哪些平台?
stock-watchlist-zh 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 stock-watchlist-zh?
由 AIsa(@aisadocs)开发并维护,当前版本 v1.0.0。
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