MCPInstall

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 docid/title citations and reproducible retrieval steps.

Installs
499
Last 24h
—
Trending rank
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Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://sciverse.space --skill sciverse
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads sciverse automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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

  • Need setup, environment variables, script invocation rules, or exit codes: read references/runtime.md.
  • Need author/year/journal/DOI/field filtering, schema discovery, metadata search, or author / journal (source) entity search via collection: read references/search-tools.md.
  • Need RAG chunks, source text expansion, or paper figures/tables: read references/rag-and-content.md.
  • Need a workflow decision tree for combining tools: read references/workflows.md.

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.

FAQ

What does the sciverse skill do?

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 docid/title citations and reproducible retrieval steps.

How do I install sciverse?

Run npx skills add https://sciverse.space --skill sciverse in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sciverse/ (personal) or .claude/skills/sciverse/ (project).

Which AI agents can use sciverse?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is sciverse safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains sciverse?

It is published by sciverse.space in sciverse.space. It has 499 recorded installs.

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