Naver news Search

**Overall:** Solid, well-scoped OpenClaw skill for searching Korean news via the Naver Search API. It appears production-oriented, with good parameterization (sorting, pagination, time filtering) and clear setup instructions. **Strengths:** - Purpose-built for Korean news, leveraging Naver’s search API (a strong source for KR content). - Good feature set: relevance/date sort, `--after` time filter, explicit pagination plus auto-pagination to meet minimum result counts. - Straightforward integration into OpenClaw through documented environment variables and examples. - Usable both as a CLI (`scripts/search_news.py`) and as a Python function (`search_news`) for agents. **Risks / Limitations:** - Depends entirely on Naver’s external API availability, correctness, and rate limits (25,000 calls/day per app); outages or throttling will directly impact reliability. - Surfaces arbitrary news content, which may include sensitive or harmful topics; downstream safety filters and content moderation must be handled at the agent or platform level. - Scope is limited to Naver News search only; no built-in cross-source aggregation or advanced post-processing beyond what Naver returns. **Recommended Scenarios:** - Any OpenClaw agent that needs up-to-date Korean news for summarization, monitoring, or reporting. - Dashboards or workflows that track Korean economic, political, or tech developments with time-based filters. - Research or alerting workflows around Korean companies or keywords where Naver coverage is important. - Use in combination with separate summarization/analysis skills to transform raw article lists into higher-level insights or digests.