A scholarly search channel for finding publication metadata through Crossref, a registry that records details such as titles, authors, journals, and DOIs. A DOI is a persistent identifier for a research publication.

Use it for English-language paper discovery, DOI lookups, journal articles, book chapters, proceedings, and citation-focused searches.

It helps find academic papers and citation details across many publishers when a specialized database does not cover the needed source.

crossref — Skill for Claude Code by 0xmariowu

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add 0xmariowu/Autosearch --skill crossref

Clone the repo

git clone --depth 1 https://github.com/0xmariowu/Autosearch

Made for: Claude Code.

Or install autosearch, the plugin that ships this one along with the rest of its 55 skills, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/0xmariowu/autosearch/crossref.svg)](https://agentmods.dev/skills/0xmariowu/autosearch/crossref)

Your own site

<a href="https://agentmods.dev/skills/0xmariowu/autosearch/crossref"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/crossref.svg" alt="Measured on agentmods" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 469 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00469
Opus 5	$0.00000	$0.00234
Sonnet 5	$0.00000	$0.00094
Haiku 4.5	$0.00000	$0.00047

Measured 8d ago against content hash a8753066126c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

crossref scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (methods/api_search.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

autosearch/skills/channels/crossref/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Attribution

Source: self-written for task Plan-0420 W7 F701 + F702.

name: crossref description: Cross-publisher scholarly search via the Crossref DOI registry, useful for journal articles, book chapters, and citation-linked research metadata. version: 1 languages: [en] methods:

id: api_search impl: methods/api_search.py requires: [] rate_limit: {per_min: 30, per_hour: 500} fallback_chain: [api_search] when_to_use: query_languages: [en] query_types: [academic, doi-lookup, citation, scholarly, journal-article] avoid_for: [social, multimedia, real-time] quality_hint: typical_yield: medium chinese_native: false layer: leaf domains: [academic] scenarios: [doi-lookup, publication-metadata] model_tier: Fast experience_digest: experience.md

Overview

crossref is the broad DOI-registry channel for scholarly metadata across many publishers, journals, books, and proceedings. It complements specialized paper indexes by widening recall when the user asks for citation-oriented or publisher-agnostic academic coverage.

When To Choose It

Choose it for English scholarly search, DOI-oriented lookup, journal article discovery, and citation-heavy queries.
Choose it when a cross-publisher registry is more useful than a discipline-specific bibliography.
Avoid it for social content, multimedia search, or real-time discussion.

How To Search

api_search queries the Crossref works API by title and normalizes title, author, venue, year, abstract, and DOI URL fields.
When abstracts are missing, snippets are synthesized from authors, container title, year, type, and citation count.

Known Quirks

Abstracts may arrive as JATS-like tagged strings and need lightweight tag stripping.
Metadata quality varies by publisher, so author and date completeness can differ between records.
Crossref is broad rather than domain-specific, so relevance can be noisier than a focused academic index.

Quality Bar

Evidence items have non-empty title and url.
No crash on empty or malformed API response.
Source channel field matches the channel name.

Read the full file on GitHub · 55 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

methods/api_search.py 5.9 KB runs code

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

8d ago First seen · 55 lines · 0 tokens per session scan A a8753066126c

Subscribe to this mod's changes

crossref is a skill published in the GitHub repository 0xmariowu/Autosearch (44 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 469 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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