research-lookup

research-lookup is a skill for Claude Code from LeonChaoX/qinyan-academic-skills. It costs 51 tokens per session (3,657 once invoked), scanned A, original, MIT.

A research-information lookup skill that finds current studies, papers, technical details, and other evidence using online research services.

In plain words
What is it for?
Use it to find academic papers, verify scientific claims, gather background information, locate technical specifications, and collect sources for writing.
Why use it?
It reduces the manual work of searching across sources and checking whether research claims and information are current.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/generate_schematic.py "your diagram description" -o figures/output.png.

Good fit Use it to find academic papers, verify scientific claims, gather background information, locate technical specifications, and collect sources for writing.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skills
agentmods
npx agentmods add skills/leonchaox/qinyan-academic-skills/research-lookup

Made for: Claude Code.

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-lookup

README.md
[![agentmods](https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/research-lookup/github.svg)](https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/research-lookup)
Your own site
<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/research-lookup"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/research-lookup/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-lookup

Your own site · 80×15
<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/research-lookup"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/research-lookup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,657 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00051 $0.03657
Opus 5 $0.00026 $0.01828
Sonnet 5 $0.00010 $0.00731
Haiku 4.5 $0.00005 $0.00366

Measured 12d ago against content hash f917e638fb9b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

research-lookup 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 12d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (examples.py, lookup.py, research_lookup.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.

skills/01-论文检索与文献管理/research-lookup/SKILL.md · 414 lines

How it starts

The opening of the file, as written. The whole thing — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Information Lookup

Overview

This skill provides real-time research information lookup with intelligent backend routing:

  • Parallel Chat API (core model): Default backend for all general research queries. Provides comprehensive, multi-source research reports with inline citations via the OpenAI-compatible Chat API at https://api.parallel.ai.
  • Perplexity sonar-pro-search (via OpenRouter): Used only for academic-specific paper searches where scholarly database access is critical.

The skill automatically detects query type and routes to the optimal backend.

When to Use This Skill

Use this skill when you need:

  • Current Research Information: Latest studies, papers, and findings
  • Literature Verification: Check facts, statistics, or claims against current research
  • Background Research: Gather context and supporting evidence for scientific writing
  • Citation Sources: Find relevant papers and studies to cite
  • Technical Documentation: Look up specifications, protocols, or methodologies
  • Market/Industry Data: Current statistics, trends, competitive intelligence
  • Recent Developments: Emerging trends, breakthroughs, announcements

Visual Enhancement with Scientific Schematics

When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.

If your document does not already contain schematics or diagrams:

  • Use the scientific-schematics skill to generate AI-powered publication-quality diagrams
  • Simply describe your desired diagram in natural language
python scripts/generate_schematic.py "your diagram description" -o figures/output.png

Automatic Backend Selection

The skill automatically routes queries to the best backend based on content:

Routing Logic

Query arrives
    |
    +-- Contains academic keywords? (papers, DOI, journal, peer-reviewed, etc.)
    |       YES --> Perplexity sonar-pro-search (academic search mode)
    |
    +-- Everything else (general research, market data, technical info, analysis)
            --> Parallel Chat API (core model)

Read the full file on GitHub · 414 lines

Files

What ships with it

5 files 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.

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. 12d ago First seen · 414 lines · 51 tokens per session scan A f917e638fb9b

Subscribe to this mod's changes

research-lookup is a skill published in the GitHub repository LeonChaoX/qinyan-academic-skills (883 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 3,657 once invoked, about $0.0003 per session on Opus 5. 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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