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@helibeiqi/dsh-context-aware-search

v0.1.1helibeiqi / dsh-context-aware-searchba03e80e3e

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Overview

@helibeiqi/dsh-context-aware-search

Context-aware web search for DeepSeek Harness (dsh): rewrites queries with session context, reranks and credibility-tags results, and offers one-click source summarization across multiple backends.

README / EN

Package documentation

Registry summary

Context-aware web search for DeepSeek Harness (dsh): rewrites queries with session context, reranks and credibility-tags results, and offers one-click source summarization across multiple backends.

dsh.pub verifies the pinned bundle contract, runtime facts, and distribution semantics. The complete README remains in the source repository.

Read the full README on GitHub

LIMITATIONS

Known limitations

- **No embedding model.** Reranking uses TF-IDF over the query + context, not semantic vectors. It's fast and dependency-free but weaker on paraphrase / intent mismatch than an embedding model would be. - **Context text extraction is heuristic.** It only reads `text` content blocks from recent messages; images, tool outputs, and non-text blocks are ignored. - **Search-result scraping is brittle.** DuckDuckGo / Bing HTML parsing can break if those sites change their markup; SearXNG JSON is more stable when you point `searxngInstance` at a reliable instance. - **Summaries are extractive, not abstractive.** `web_summarize` pulls and structures the page's own text; it does not generate a free-form prose summary (no LLM call by design). - **Credibility is rule-based.** It keys off domain suffixes / fragments; a high-value personal blog can be under-rated and a slick low-quality site over-rated. Treat badges as triage hints, not verdicts. ---