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research-search

research-search is a skill for Claude Code from Axect/magi-researchers. It costs 0 tokens per session (775 once invoked), scanned A, original, MIT.

A research-search tool for finding academic papers and related works through OpenAlex, a large catalogue of scholarly publications, with optional web searching.

In plain words
What is it for?
Use it to search by topic, filter or sort results, limit the number of works, include recent web sources, or save the results to a Markdown file.
Why use it?
It helps discover relevant literature without running the full idea-generation workflow.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the magi-researchers plugin — 9 skills shipped together

not rated 13repo 5mo ago A scan 0 tokens original MIT

Good fit Use it to search by topic, filter or sort results, limit the number of works, include recent web sources, or save the results to a Markdown file.

Compare 6 skills from other repositories ↓
View source ↗ Axect/magi-researchers
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add Axect/magi-researchers
Claude Code
/plugin install magi-researchers

Made for: Claude Code.

Or install magi-researchers, the plugin that ships this one along with the rest of its 9 skills.

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.

agentmods badge for research-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/axect/magi-researchers/research-search/github.svg)](https://agentmods.dev/skills/axect/magi-researchers/research-search)
Your own site
<a href="https://agentmods.dev/skills/axect/magi-researchers/research-search"><img src="https://agentmods.dev/badge/skills/axect/magi-researchers/research-search/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for research-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/axect/magi-researchers/research-search"><img src="https://agentmods.dev/badge/skills/axect/magi-researchers/research-search.svg" alt="Reviewed on agentmods" width="80" 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 775 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00775
Opus 5 $0.00000 $0.00387
Sonnet 5 $0.00000 $0.00155
Haiku 4.5 $0.00000 $0.00077

Measured 11d ago against content hash 404410b17d0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

research-search 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 11d ago.

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.

skills/research-search/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Search Skill

Description

Searches academic literature via OpenAlex (240M+ works) and optionally web sources. Standalone skill for quick literature discovery without the full brainstorm pipeline.

Usage

/research-search "topic" [--filter "..."] [--sort cited_by_count:desc|relevance_score:desc|publication_year:desc] [--limit N] [--web] [--save path/to/output.md]

Arguments

  • $ARGUMENTS — The search topic (required) and optional flags:
    • --filter — OpenAlex filter string (default: "publication_year:>2021,type:article|review"). Valid types: article, review, preprint, book-chapter, book, dataset, dissertation, report.
    • --sort — Sort order (default: relevance_score:desc). Options: relevance_score:desc, cited_by_count:desc, publication_year:desc.
    • --limit — Number of results (default: 10, max: 50).
    • --web — Also run a WebSearch for recent developments (default: false).
    • --save — Save results to a file instead of displaying inline. Accepts a relative or absolute path.

Instructions

Shared rules: Read ${CLAUDE_PLUGIN_ROOT}/shared/rules.md before starting. §LaTeX applies to this skill.

When this skill is invoked, follow these steps:

Step 1: Parse Arguments

  1. Extract the search topic from $ARGUMENTS.
  2. Parse optional flags with defaults:
    • filter: "publication_year:>2021,type:article|review"
    • sort: relevance_score:desc
    • limit: 10
    • web: false
    • save: null (display inline)

Step 2: Academic Literature Search (OpenAlex)

Run the bundled OpenAlex search script:

uv run python ${CLAUDE_PLUGIN_ROOT}/skills/research-brainstorm/scripts/openalex_search.py "{topic}" --filter "{filter}" --sort "{sort}" --limit {limit} --format md

If results are sparse (< 3 papers):

  1. Simplify the query: drop domain-specific jargon, keep core concepts.
  2. Retry with broader filter: --filter "publication_year:>2019,type:article|review|preprint".
  3. If still sparse, retry without type filter: --filter "publication_year:>2019".

Read the full file on GitHub · 82 lines

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.

  1. 11d ago First seen · 82 lines · 0 tokens per session scan A 404410b17d0d

Subscribe to this mod's changes

research-search is a skill published in the GitHub repository Axect/magi-researchers (13 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 775 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.

Claude CodeResearchai-researchclaude-code-plugincodexgeminimcp
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