Retrieves papers from local folder or ArXiv and Semantic Scholar using domain-aware keyword expansion, builds synthesis matrix, identifies gaps.

No licenceAuto-check passedResearch & Science

Install Lit Review

skills CLI
$ npx skills add GRIND-Lab-Core/night_owl_research_agent --skill lit-review -a claude-code

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

GitHub CLI
$ gh skill install GRIND-Lab-Core/night_owl_research_agent lit-review --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/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lit-review .claude/skills/lit-review && 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
lit-review
GitHub stars
106
Token cost
~3.2k tokens
SKILL.md length
1,436 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
None found

At a glance

Retrieves papers from local folder or ArXiv and Semantic Scholar using domain-aware keyword expansion, builds synthesis matrix, identifies gaps.

  • Works in 5 steps: Search (external) → Analyze Each Paper → Synthesize → …
  • Tasks that involve Academic paper search
  • SKILL.md covers Constants, Workflow, Outputs and Key Rules
  • Calls python3

What it does

Lit Review is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Retrieves papers from local folder or ArXiv and Semantic Scholar using domain-aware keyword expansion, builds synthesis matrix, identifies gaps. Calls tools/arxivfetch.py and tools/semanticscholarfetch.py. Writes to output/paper-cache/ and output/LITREVIEWREPORT.md.

Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Academic paper search. It works with arXiv, Semantic Scholar, Obsidian and Zotero. The repository describes itself as: Fully automatic AI research agent for Geoscientists, Remote Sensing researchers, and GIScientists. Features harness engineering, GeoBenchmark (OLS/GWR/MGWR), journal templates…

When your agent uses it

  • Tasks that involve Academic paper search

Example prompts

  • “Use the lit-review skill to retrieve papers from local folder or ArXiv and Semantic Scholar using domain-aware keyword expansion, builds synthesis…”
  • “/lit-review”

Requirements

  • Python 3

Workflow steps

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

  1. Search (external)
  2. Analyze Each Paper
  3. Synthesize
  4. Output
  5. Save (if requested)

What it can do on your machine

Read from SKILL.md and the folder at commit 5f7a246. 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

    Shell commands in SKILL.md call:

    • python3

    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

Lit Review loads about 3.2k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 1,436 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~3.2k

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); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,436 words (~3,222 tokens).

“You perform a targeted literature review for $ARGUMENTS. Your outputs feed idea discovery and paper writing. This skill checks multiple sources in priority order. All are optional — if a source is not configured or not requested, skip it silently.”

— opening of SKILL.md by GRIND-Lab-Core
name
lit-review
argument-hint
paper-topic-or-url
tools
Bash, Read, Write, WebFetch, WebSearch, Agent, Glob, Grep,

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/lit-review of GRIND-Lab-Core/night_owl_research_agent.

Open the folder on GitHubat commit 5f7a246

Compare with similar skills

Lit Review 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.

Lit Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lit Review this skillGRIND-Lab-Core/night_owl_research_agent106—~3.2kAutomated safety check: PassNone
Paper Searchopenags/paper-search-mcp2.8k—~1.2kAutomated safety check: NotesMIT
Deeppapernote917Dhj/DeepPaperNote1.2k1 repos~5.9kAutomated safety check: PassMIT
Nature Academic Searchwp-a/nature-academic-search304—~1.4kAutomated safety check: PassMIT
Paper Searchopenags/paper-search-mcp2.8k—~794Automated safety check: NotesMIT
Daily arXiv Paper Briefjuliye2025/evil-read-arxiv1.7k—~4.3kAutomated safety check: PassNone

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Questions about Lit Review

What does Lit Review do?

Retrieves papers from local folder or ArXiv and Semantic Scholar using domain-aware keyword expansion, builds synthesis matrix, identifies gaps. Lit Review is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Retrieves papers from local folder or ArXiv and Semantic Scholar using domain-aware keyword expansion, builds synthesis matrix, identifies gaps.

When should I use Lit Review?

Lit Review fits situations like: tasks that involve Academic paper search.

How do I install Lit Review in Claude Code?

Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill lit-review -a claude-code`. Or copy the skill folder (skills/lit-review in GRIND-Lab-Core/night_owl_research_agent) into .claude/skills/lit-review in your project. Claude Code loads it when a task matches its description.

How do I install Lit Review in Codex?

Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill lit-review -a codex`. Or copy the skill folder (skills/lit-review in GRIND-Lab-Core/night_owl_research_agent) into .agents/skills/lit-review in your project. Codex loads it when a task matches its description.

Can I use Lit Review 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 GRIND-Lab-Core/night_owl_research_agent --skill lit-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lit-review, .gemini/skills/lit-review, .github/skills/lit-review and .opencode/skills/lit-review in your project.

What does Lit Review need to run?

Going by SKILL.md and its folder, Lit Review needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Lit Review 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 Lit Review 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. Review the folder before installing.

What licence does Lit Review use?

No licence was found for Lit Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Lit Review use?

About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Lit Review?

Skills that share tags, products or a category with Lit Review: Paper Search (openags/paper-search-mcp, 2.8k stars), Deeppapernote (917Dhj/DeepPaperNote, 1.2k stars), Nature Academic Search (wp-a/nature-academic-search, 304 stars) and Paper Search (openags/paper-search-mcp, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lit Review?

GRIND-Lab-Core (a GitHub organization) maintains it in GRIND-Lab-Core/night_owl_research_agent, which has 106 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on May 6, 2026.

Source: GRIND-Lab-Core/night_owl_research_agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.