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sciverse.space440 installs

sciverse

Retrieve citation-grade academic literature from Sciverse. Use when an agent needs structured paper metadata search, semantic paper chunk retrieval for RAG, source text expansion around a paper offset, or figure/table image fetching from scientific papers. Prefer this skill for peer-reviewed and preprint literature tasks that require doc_id/title citations and reproducible retrieval steps.

How do I install this agent skill?

npx skills add https://sciverse.space --skill sciverse
view source ↗

Is this agent skill safe to install?

No partner audit is available yet. Read the source before installing.

What does this agent skill do?

Sciverse

Use Sciverse for scientific literature retrieval. This skill is agent-neutral: it works through bundled Node.js scripts and does not require a host-specific tool protocol. Keep answers grounded in returned doc_id, title, and excerpts.

Choose The Path

Default Workflow

  1. For ambiguous field names or enum values, call list_catalog first.
  2. For natural-language research questions, start with semantic_search.
  3. For structured discovery, use search_papers.
  4. For promising chunks, expand context with read_content.
  5. For figures or tables referenced by Markdown image placeholders, use get_resource.

Guardrails

  • Do not use Sciverse for general web search, news, or non-scientific content.
  • Cite paper-based claims with doc_id and title.
  • Prefer exact filters only after checking the catalog when field names are uncertain.
  • Run bundled scripts from this skill directory, or use absolute paths to the scripts.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/sciverse.space/sciverse">View sciverse on skillZs</a>