sciverse-agent-tools (DEPRECATED)

> ⚠️ This skill has been renamed. New installations should use

> academic-retrieval (published by @sciverse).

>

> ```bash

> openclaw skills uninstall sciverse-agent-tools

> openclaw skills install academic-retrieval

> ```

>

> The 0.1.x line under this slug will continue to function but will not receive further updates.

SciVerse academic paper retrieval: structured metadata search, semantic chunk retrieval for RAG, and byte-range content reading. For agent workflows that need citation-grade scientific literature.

When to use

Trigger this skill when the user's request involves any of:

• Locating academic papers by structured criteria (authors, year, journal, subjects)
• Grounding answers in paper excerpts (RAG / citations)
• Expanding the original text around a known doc_id (more bytes before/after a chunk)

Authentication

This skill requires the SCIVERSE_API_TOKEN environment variable

(obtain from https://sciverse.space). Optionally set SCIVERSE_BASE_URL

to override the default API base URL.

Tools

search_papers

Search academic papers by structured filters (title, authors, journal,

year, subjects, etc.).

Use when: "find Hinton's papers from 2020-2023", "Nature papers on

CRISPR".

Not for: natural-language Q&A retrieval (use semantic_search) or

full-text snippets (use read_content).

Returns: list of papers; each entry has doc_id, title, author, abstract,

publication_venue_name, publication_published_year.

Invoke: node scripts/search_papers.mjs ''

semantic_search

Natural-language semantic search returning relevant paper chunks for

RAG-style answering.

Use when: "How does Transformer attention work?", "What are recent

methods for protein structure prediction?".

Not for: precise field filtering (use search_papers) or fetching full

original text (use read_content).

Returns: list of chunks; each entry has chunk_id, doc_id, abstract,

chunk, score, title, offset.

Typical chain: semantic_search → pick chunk → read_content(doc_id,

offset).

Invoke: node scripts/semantic_search.mjs ''

read_content

Read a UTF-8 byte range of a paper's original text. Typically used with

a doc_id/offset returned by semantic_search to expand context (read

more bytes before or after a chunk).

Returns: text fragment, bytes_returned, next_offset, more (boolean).

Invoke: node scripts/read_content.mjs ''

Composition patterns

Typical RAG flow:

semantic_search(query=...)
    └─▶ hits[i].doc_id, hits[i].offset
            └─▶ read_content(doc_id, offset)

Structured filter + metadata lookup:

search_papers(authors=[...], year_from=2020)
    └─▶ list of hits[].doc_id

Exit codes

• 0 — success; stdout is the JSON response
• 1 — HTTP 4xx/5xx; stderr contains status code and response body
• 2 — argument error (missing token, malformed JSON, required field absent)