Market Environment Analysis
v0.1.0Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.
⭐ 14· 9.8k·73 current·79 all-time
byVeera@veeramanikandanr48
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the behavior: SKILL.md describes collecting market data (via web_search) and producing reports; included helper script provides formatting, session times, volatility categorization, and checklist — all appropriate for the stated purpose.
Instruction Scope
Runtime instructions stick to market data collection and analysis. They tell the agent to use web_search for public market data and to call local helper functions; there are no instructions to read unrelated files, access system credentials, or post to external endpoints other than standard web searches.
Install Mechanism
This is an instruction-only skill with one small python helper file. There is no install spec, no external downloads, and nothing is written to disk by an installer — low installation risk.
Credentials
The skill declares no environment variables, no credentials, and no config paths. That is proportionate for a read-only market-reporting tool that relies on public web data.
Persistence & Privilege
always is false and the skill does not request persistent or system-wide privileges. Autonomous invocation is enabled by default on the platform but that is expected for skills of this type and is not excessive here.
Assessment
This skill appears internally consistent and low-risk: it uses web_search for public market data and a small local Python helper for formatting and simple calculations. Before installing, consider: (1) confirm you trust the agent's web_search sources (it will gather market data from the public web); (2) the skill does not request credentials so avoid pasting any API keys or private data into prompts; (3) the helper script uses naive timezone logic and simple trading-day logic (may mis-handle holidays/timezones), so verify time-sensitive outputs before acting; (4) if you plan to rely on this for investment decisions, treat outputs as informational and ensure compliance with any advisory/regulatory requirements. If you want extra assurance, review the platform's web_search logs or run the script locally to inspect behavior.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.