Agent skill

Nature Academic Search

by Tai609 in Tai609/NebulaMat

Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer profiling with citation-context extraction…

Custom licenceAuto-check passedResearch & Science

Install Nature Academic Search

skills CLI
$ npx skills add Tai609/NebulaMat --skill nature-academic-search -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Tai609/NebulaMat nature-academic-search --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .claude/skills && cp -r skills-src/runtime/skills-bundle/nature-academic-search .claude/skills/nature-academic-search && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
nature-academic-search
GitHub stars
100
Token cost
~1.2k tokens
SKILL.md length
509 words
Files
56 (incl. scripts, references)
Skills in repo
15
Repo updated
First seen
Licence
Custom licence

At a glance

Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer profiling with citation-context extraction…

  • Works in 5 steps: Load the manifest and the core layer → Detect the workflow → Load the matching workflow fragment(s) → …
  • Coordinated literature workflows beyond one MCP call
  • SKILL.md covers Routing protocol and Why this split
  • Runs Python and Shell scripts from its folder

What it does

Nature Academic Search is an agent skill from Tai609/NebulaMat. Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer profiling with citation-context extraction, MeSH search strategy, citation file management (.nbib/.ris/.bib conversion), and reference management (BibTeX, related articles, ID conversion) via MCP tools (PubMed, CrossRef, arXiv, Scopus, ScienceDirect). Use for coordinated literature workflows beyond one MCP call, including 文献检索、…

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 59 other files, including scripts and reference files (for example `README.md`, `README_EN.md` and `agents/openai.yaml`).

It sits in Research & Science, covering Academic paper search, Citation management and MCP servers. It works with PubMed, LaTeX, Model Context Protocol and arXiv. The repository describes itself as: NebulaMat scientific materials research workbench.

When your agent uses it

  • Coordinated literature workflows beyond one MCP call
  • Tasks that involve Academic paper search
  • Tasks that involve Citation management

Example prompts

  • “/nature-academic-search”

Requirements

  • Python 3
  • A Bash shell

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Load the manifest and the core layer
  2. Detect the workflow
  3. Load the matching workflow fragment(s)
  4. Run the workflow using the loaded material
  5. Reach for references only when needed

What it can do on your machine

Read from SKILL.md and the folder at commit c906ed5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python and Shell, from the files we listed), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nature Academic Search loads about 1.2k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 161 tokens; SKILL.md has 509 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~161
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~14k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 509 words (~1,172 tokens).

“This skill is split into two layers:”

— opening of SKILL.md by Tai609, Custom licence
name
nature-academic-search

Read the full SKILL.md on GitHub

Files

SKILL.md and 55 other files (scripts, references) in runtime/skills-bundle/nature-academic-search of Tai609/NebulaMat.

  • SKILL.md
  • .nebulamat-managed
  • README.md
  • README_EN.md
  • agents/openai.yaml
  • config/mcp-snippet.json
  • config/settings-snippet.json
  • config/triggers-academic-search.toml
  • install.sh
  • manifest.yaml
  • mcp-server/README.md
  • mcp-server/academic_search_server.py
  • mcp-server/config.toml
  • mcp-server/requirements.txt
  • mcp-server/sources/__init__.py
  • mcp-server/sources/arxiv.py
  • mcp-server/sources/crossref.py
  • … and 39 more

Open the folder on GitHubat commit c906ed5

Compare with similar skills

Nature Academic Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Nature Academic Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nature Academic Search this skillTai609/NebulaMat100—~1.2kAutomated safety check: PassCustom licence
Nature Academic Searchaiskillstore/marketplace433—~1.1kAutomated safety check: PassNone
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0
Nature Academic Searchjing1312/nature-figure-skill171—~1.3kAutomated safety check: NotesMIT
Ai4scholar ResearchDrchronx/ai-agent-research-starter-kit139—~1.4kAutomated safety check: PassCustom licence
Citation Managementneflibata-feng/MyArxiv-Agent12619 repos~8.1kAutomated safety check: NotesMIT

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Questions about Nature Academic Search

What does Nature Academic Search do?

Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer profiling with citation-context extraction…. Nature Academic Search is an agent skill from Tai609/NebulaMat.bib conversion), and reference management (BibTeX, related articles, ID conversion) via MCP tools (PubMed, CrossRef, arXiv, Scopus, ScienceDirect).

When should I use Nature Academic Search?

Nature Academic Search fits situations like: coordinated literature workflows beyond one MCP call; tasks that involve Academic paper search; tasks that involve Citation management.

How do I install Nature Academic Search in Claude Code?

Run `npx skills add Tai609/NebulaMat --skill nature-academic-search -a claude-code`. Or copy the skill folder (runtime/skills-bundle/nature-academic-search in Tai609/NebulaMat) into .claude/skills/nature-academic-search in your project. Claude Code loads it when a task matches its description.

How do I install Nature Academic Search in Codex?

Run `npx skills add Tai609/NebulaMat --skill nature-academic-search -a codex`. Or copy the skill folder (runtime/skills-bundle/nature-academic-search in Tai609/NebulaMat) into .agents/skills/nature-academic-search in your project. Codex loads it when a task matches its description.

Can I use Nature Academic Search in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Tai609/NebulaMat --skill nature-academic-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-academic-search, .gemini/skills/nature-academic-search, .github/skills/nature-academic-search and .opencode/skills/nature-academic-search in your project.

What does Nature Academic Search need to run?

Going by SKILL.md and its folder, Nature Academic Search needs Python and a shell for the scripts in its folder. Our summary lists: Python 3; A Bash shell.

Does Nature Academic Search access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Nature Academic Search safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Nature Academic Search use?

Nature Academic Search has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Nature Academic Search use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 13k tokens, read only when the agent opens those files.

What are the alternatives to Nature Academic Search?

Skills that share tags, products or a category with Nature Academic Search: Nature Academic Search (aiskillstore/marketplace, 433 stars), Arxiv MCP Server (blazickjp/arxiv-mcp-server, 3.2k stars), Nature Academic Search (jing1312/nature-figure-skill, 171 stars) and Ai4scholar Research (Drchronx/ai-agent-research-starter-kit, 139 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nature Academic Search?

Tai609 (a GitHub user) maintains it in Tai609/NebulaMat, which has 100 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 6, 2026.

Source: Tai609/NebulaMat on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.