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在 OpenClaw 中安装
/install us-stock-radar
功能描述
Professional US stock radar for screening, deep dives, and watchlist alerts using public market data. Use when the user wants ranked stock candidates, A/B/C/...
安全使用建议
This skill appears coherent and read-only: it fetches public market data from Yahoo and Stooq, computes heuristic scores, and prints JSON. Before installing/use: 1) verify the script path in SKILL.md matches where you will run it; 2) ensure your environment has Python 3 and the requests library; 3) be aware it makes outbound HTTP requests (so run it in a network environment you trust); and 4) run the quick-audit commands (--sources, --mode screener --json) to confirm outputs, availability fields, and that no unexpected endpoints are contacted. The tool is for signal triage only — treat outputs as heuristic guidance, not trading advice.
功能分析
Type: OpenClaw Skill
Name: us-stock-radar
Version: 1.0.0
The skill is a legitimate US stock market analysis tool that performs read-only data retrieval from public APIs (Yahoo Finance and Stooq). The Python script (us_stock_radar.py) contains no evidence of data exfiltration, credential theft, or malicious execution, and the SKILL.md instructions explicitly define safety boundaries, such as avoiding brokerage authentication and trade execution.
能力评估
Purpose & Capability
Name/description (US stock radar) match the included script and SKILL.md: the script queries Yahoo Finance and Stooq, computes heuristic metrics, and emits JSON scores/grades. No credentials, unrelated binaries, or cloud permissions are requested. Minor packaging inconsistencies: SKILL.md examples reference a path like skills/us-stock-radar/scripts/us_stock_radar.py while the manifest shows scripts/us_stock_radar.py at repo root; script version string (0.1.1) differs from skill registry version (1.0.0). These are packaging/metadata issues but do not contradict capability.
Instruction Scope
Runtime instructions are narrowly scoped: run the provided Python script in one of three modes and read its JSON output. SKILL.md explicitly enforces read-only behavior (no auth, no trading, no file writes, no outbound messages). The script's network calls are limited to public Yahoo and Stooq endpoints; it does not read arbitrary local files, environment variables, or system configs. Note: the SKILL.md path examples differ from the manifest path — verify where the script will actually be run in your environment.
Install Mechanism
No install spec is provided (instruction-only with an included script). This minimizes install-time risk; the only runtime requirement is the requests library and Python 3. The script does not attempt to download or execute external installers.
Credentials
The skill declares no required environment variables, credentials, or config paths and the code does not access os.environ. It only issues HTTP GETs to public data endpoints (Yahoo, Stooq). The absence of secrets or unrelated env access is proportionate to the stated purpose.
Persistence & Privilege
The skill is not always-enabled and is user-invocable. It does not write files as part of normal operation, does not modify other skills or global settings, and does not request persistent privileges. Note that agent autonomous invocation is allowed by default (disable-model-invocation: false) — this is the platform default and not a red flag here given the read-only nature of the code.
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 us-stock-radar - 安装完成后，直接呼叫该 Skill 的名称或使用
/us-stock-radar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
Promote to product-ready 1.0.0 and improve ClawHub summary copy: clearer screening/deep-dive/watchlist positioning with confidence-aware public-market analysis.
v0.1.1
Improve auditability: add read-only/no-auth scope boundary, --sources/--version, explicit availability/data_gaps/degraded_mode/confidence, and cleaner reviewer-facing packaging.
元数据
常见问题
US Stock Radar 是什么？
Professional US stock radar for screening, deep dives, and watchlist alerts using public market data. Use when the user wants ranked stock candidates, A/B/C/... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 317 次。
如何安装 US Stock Radar？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install us-stock-radar」即可一键安装，无需额外配置。
US Stock Radar 是免费的吗？
是的，US Stock Radar 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
US Stock Radar 支持哪些平台？
US Stock Radar 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 US Stock Radar？
由 Li Xin（@spyfree）开发并维护，当前版本 v1.0.0。
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