Perplexity 风格的搜索回答规范 + Brave Search。拆→对→连三步法，时代锚定，多情景因果，个人行动闭环。

This skill appears coherent and low-risk: it is a guidance/template for producing sourced search analyses and asks for nothing sensitive. Before installing, consider: (1) Confirm your agent has a web_search/Brave Search tool available — otherwise the skill's instructions that call web_search will fail or cause the agent to substitute other data sources. (2) The SKILL.md references local reference files (references/market_ratios.md and references/example_analysis.md) and an integration (agent-reach) that are not bundled; decide whether those resources exist in your agent environment or whether the agent will fetch equivalents from the web. (3) Review outputs for accuracy and source quality — the skill instructs the agent to surface links and freshness, but the agent may still hallucinate assertions if source quality is poor. (4) If you enable autonomous invocation for agents that have access to external systems, be aware the agent may run searches and post-process results without prompting; this is normal but worth auditing in high-security environments. If any of the missing references or integrations would require credentials or external services, verify those bindings before use.

Type: OpenClaw Skill Name: di-perplexity-style Version: 1.6.0 The skill bundle defines a structured analytical framework for an AI agent to perform research using Brave Search, mimicking a 'Perplexity-style' output. The instructions in SKILL.md focus on data verification, contextual anchoring, and logical reasoning without any indicators of malicious intent, data exfiltration, or unauthorized command execution.