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Install in OpenClaw
/install us-stock-radar
Description
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/...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install us-stock-radar - After installation, invoke the skill by name or use
/us-stock-radar - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is US Stock Radar?
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/... It is an AI Agent Skill for Claude Code / OpenClaw, with 317 downloads so far.
How do I install US Stock Radar?
Run "/install us-stock-radar" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is US Stock Radar free?
Yes, US Stock Radar is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does US Stock Radar support?
US Stock Radar is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created US Stock Radar?
It is built and maintained by Li Xin (@spyfree); the current version is v1.0.0.
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