nature-academic-search

nature-academic-search is a skill for Claude Code from yniantongtian-oss/nature-skills. It costs 80 tokens per session (933 once invoked), scanned A, original, MIT.

A literature-search and reference-management tool for finding scientific papers across sources such as PubMed, Crossref, arXiv, Scopus, and ScienceDirect.

In plain words
What is it for?
Use it to search literature, verify citations, build search strategies, convert NBIB, RIS, and BibTeX files, and manage related references.
Why use it?
Research searches can become fragmented across databases, and citations often need checking or conversion between file formats. This coordinates searching, verification, and reference files.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the nature-skills plugin — 10 skills, 1 MCP server shipped together

Good fit Use it to search literature, verify citations, build search strategies, convert NBIB, RIS, and BibTeX files, and manage related references.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yniantongtian-oss/nature-skills/nature-academic-search
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 yniantongtian-oss/nature-skills --skill nature-academic-search
Clone the repo
git clone --depth 1 https://github.com/yniantongtian-oss/nature-skills

Made for: Claude Code.

Or install nature-skills, the plugin that ships this one along with the rest of its 10 skills, 1 MCP server.

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 nature-academic-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/yniantongtian-oss/nature-skills/nature-academic-search/github.svg)](https://agentmods.dev/skills/yniantongtian-oss/nature-skills/nature-academic-search)
Your own site
<a href="https://agentmods.dev/skills/yniantongtian-oss/nature-skills/nature-academic-search"><img src="https://agentmods.dev/badge/skills/yniantongtian-oss/nature-skills/nature-academic-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 nature-academic-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/yniantongtian-oss/nature-skills/nature-academic-search"><img src="https://agentmods.dev/badge/skills/yniantongtian-oss/nature-skills/nature-academic-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 933 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 $0.00080 $0.00933
Opus 5 $0.00040 $0.00466
Sonnet 5 $0.00016 $0.00187
Haiku 4.5 $0.00008 $0.00093

Measured 12d ago against content hash 2414b1f600a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

nature-academic-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 12d ago.

The scan reads SKILL.md. This mod also ships 20 executable files (install.sh, mcp-server/academic_search_server.py, mcp-server/sources/__init__.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.

plugins/nature-skills/skills/nature-academic-search/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Academic Search — Router

This skill is split into two layers:

  • A static layer under static/ that holds versioned, reusable content fragments (the MCP tool inventory and shared modules, and source routing plus operational rules).
  • A dynamic layer (this file plus manifest.yaml) that detects which workflow the user needs and loads that workflow, reaching for shared modules and scripts only when a step needs them.

Do not try to apply the search logic from memory or from this router. Always load fragments from disk as described below.

Routing protocol

Follow these five steps every time the skill is invoked.

1. Load the manifest and the core layer

Read manifest.yaml. It declares the workflow axis, the allowed values, and the file paths each value maps to.

Also read every file listed under always_load:

  • static/core/tools.md — the MCP tool inventory (core search, extended search, PubMed utilities) and the shared-module map.
  • static/core/routing-and-ops.md — the T1→T2→T3 source routing quick guide, environment setup, error handling, and limitations.

2. Detect the workflow

Map the user's need to one or more workflow values:

  • multi-source-search — find literature across sources.
  • citation-verification — verify citations extracted from a document.
  • mesh-strategy — build a MeSH/PubMed search strategy.
  • citation-file-mgmt — convert/manage .nbib/.ris/.bib files.
  • reference-mgmt — BibTeX, related-article discovery, ID conversion.

A combined request (for example search then export) may need more than one. State the detected workflow(s) in one short line before proceeding.

3. Load the matching workflow fragment(s)

Read the file mapped for each detected workflow (under references/workflows/). Do not read every workflow. Each workflow file links to the shared modules it needs.

4. Run the workflow using the loaded material

Apply the loaded material in this order:

  1. Core tools and routing (core/tools.md, core/routing-and-ops.md) — which MCP tool for which need, and the T1→T2→T3 fallback chain that is the standard execution order across all workflows.
  2. The workflow fragment — its specific steps.
  3. Shared modules and scripts on demand (dedup, citation parser, search strategy, RIS/BibTeX format, format converter).

Read the full file on GitHub · 72 lines

Files

What ships with it

43 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 · 72 lines · 80 tokens per session scan A 2414b1f600a5

Subscribe to this mod's changes

nature-academic-search is a skill published in the GitHub repository yniantongtian-oss/nature-skills (24 stars, last pushed 3mo ago), licensed MIT. It adds 80 tokens to every session and 933 once invoked, about $0.0004 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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