Agent skill

Literature Review Agent

by Ar9av in Ar9av/PaperOrchestra

Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.

Custom licenceAuto-check passedResearch & Science

Install Literature Review Agent

skills CLI
$ npx skills add Ar9av/PaperOrchestra --skill literature-review-agent -a claude-code

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

GitHub CLI
$ gh skill install Ar9av/PaperOrchestra literature-review-agent --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/Ar9av/PaperOrchestra.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/literature-review-agent .claude/skills/literature-review-agent && 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
literature-review-agent
GitHub stars
679
Used in
1 other repo
Token cost
~5.2k tokens
SKILL.md length
1,733 words
Files
24 (incl. scripts, references)
Skills in repo
9
Repo updated
First seen
Licence
Custom licence

At a glance

Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.

  • Works in 7 steps: Derive cutoff_date → Phase 1: Parallel Candidate Discovery → Phase 2: Sequential Verification via… → …
  • The orchestrator delegates Step 3
  • SKILL.md covers Inputs, Outputs, Two-phase pipeline (App. D.3) and Step-by-step, plus 3 more sections
  • Runs Python scripts from its folder; calls python; reaches api.semanticscholar.org and dashboard.exa.ai; needs EXA_API_KEY and TAVILY_API_KEY

What it does

Literature Review Agent is an agent skill from Ar9av/PaperOrchestra. Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein 70 fuzzy title match, temporal cutoff, dedup by paperId), cross-corroborate against Crossref + OpenAlex to flag hallucinated citations, build a BibTeX file, and draft Introduction + Related Work using ≥90% of the verified pool. Runs in parallel with the plotting-agent. TRIGGER when the orchestrator delegates…

Its SKILL.md is about 5.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 25 other files, including scripts and reference files (for example `references/citation-density-rule.md`, `references/cross-index-verification.md` and `references/discovery-pipeline.md`).

It sits in Research & Science, covering Literature review, Academic paper search and Citation management. It works with Semantic Scholar, LaTeX and arXiv. The repository describes itself as: An automated AI research-paper writer based off Google's PaperOrchestra paper's implementation through a skills - benchmark + autoraters using any coding agent (Claude Code…

When your agent uses it

  • The orchestrator delegates Step 3
  • The user asks to find citations for my paper
  • Draft the related work
  • Build the bibliography

Example prompts

  • “find citations for my paper”
  • “draft the related work”
  • “build the bibliography”
  • “/literature-review-agent”

Requirements

  • Python 3
  • A credential in EXA_API_KEY
  • A credential in TAVILY_API_KEY

Workflow steps

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

  1. Derive cutoff_date
  2. Phase 1: Parallel Candidate Discovery
  3. Phase 2: Sequential Verification via Semantic Scholar (with cache)
  4. Dedup and assemble the pool
  5. Build the BibTeX file
  6. Draft Introduction + Related Work
  7. Verify ≥90% citation coverage

What it can do on your machine

Read from SKILL.md and the folder at commit 36c3cc4. 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 10 files in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.semanticscholar.org
    • dashboard.exa.ai

    Also links to:

    • exa.ai
    • tavily.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • EXA_API_KEY
    • TAVILY_API_KEY
    • SEMANTIC_SCHOLAR_API_KEY

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

Context cost

Literature Review Agent loads about 5.2k tokens when it runs, and up to ~16k if it reads all its reference files. Until then it costs about 166 tokens; SKILL.md has 1,733 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~166
When it runs · the whole SKILL.md, loaded when a task matches
~5.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~16k

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 1,733 words (~5,165 tokens).

“Faithful implementation of the Hybrid Literature Agent from PaperOrchestra (Song et al., 2026, arXiv:2604.05018, §4 Step 3, App. D.3, App. F.1 p.46).”

— opening of SKILL.md by Ar9av, Custom licence
name
literature-review-agent

Read the full SKILL.md on GitHub

Files

SKILL.md and 23 other files (scripts, references) in skills/literature-review-agent of Ar9av/PaperOrchestra.

  • SKILL.md
  • references/citation-density-rule.md
  • references/cross-index-verification.md
  • references/discovery-pipeline.md
  • references/exa-search-cookbook.md
  • references/prompt.md
  • references/s2-api-cookbook.md
  • references/tavily-search-cookbook.md
  • references/verification-rules.md
  • scripts/bibtex_format.py
  • scripts/check_cutoff.py
  • scripts/citation_coverage.py
  • scripts/cross_verify.py
  • scripts/crossref_client.py
  • scripts/dedupe_by_id.py
  • scripts/exa_search.py
  • scripts/levenshtein_match.py
  • scripts/openalex_client.py
  • scripts/pre_dedup_candidates.py
  • … and 5 more

Open the folder on GitHubat commit 36c3cc4

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in Ar9av/PaperOrchestra, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Literature Review Agent 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.

Literature Review Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Literature Review Agent this skillAr9av/PaperOrchestra6791 repos~5.2kAutomated safety check: PassCustom licence
Literature ReviewNorman-bury/research-writing-skill3.4k—~2.2kAutomated safety check: NotesMIT
Literature Searchlingzhi227/agent-research-skills390—~805Automated safety check: PassNone
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Paper Research on arXivXiaomiMiMo/MiMo-Code14k—~1.5kAutomated safety check: PassMIT
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0

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Questions about Literature Review Agent

What does Literature Review Agent do?

Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra. Literature Review Agent is an agent skill from Ar9av/PaperOrchestra.05018).

When should I use Literature Review Agent?

Literature Review Agent fits situations like: the orchestrator delegates Step 3; the user asks to find citations for my paper; draft the related work; build the bibliography.

How do I install Literature Review Agent in Claude Code?

Run `npx skills add Ar9av/PaperOrchestra --skill literature-review-agent -a claude-code`. Or copy the skill folder (skills/literature-review-agent in Ar9av/PaperOrchestra) into .claude/skills/literature-review-agent in your project. Claude Code loads it when a task matches its description.

How do I install Literature Review Agent in Codex?

Run `npx skills add Ar9av/PaperOrchestra --skill literature-review-agent -a codex`. Or copy the skill folder (skills/literature-review-agent in Ar9av/PaperOrchestra) into .agents/skills/literature-review-agent in your project. Codex loads it when a task matches its description.

Can I use Literature Review Agent 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 Ar9av/PaperOrchestra --skill literature-review-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/literature-review-agent, .gemini/skills/literature-review-agent, .github/skills/literature-review-agent and .opencode/skills/literature-review-agent in your project.

What does Literature Review Agent need to run?

Going by SKILL.md and its folder, Literature Review Agent needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named EXA_API_KEY, TAVILY_API_KEY and SEMANTIC_SCHOLAR_API_KEY. Our summary lists: Python 3; A credential in EXA_API_KEY; A credential in TAVILY_API_KEY.

Does Literature Review Agent access the network?

SKILL.md names 4 domains. In commands or code: api.semanticscholar.org and dashboard.exa.ai; the agent is likely to contact these when it follows the instructions. As links in the text: exa.ai and tavily.com. This is read from the text; nothing was executed.

Is Literature Review Agent 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 Literature Review Agent use?

Literature Review Agent 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 Literature Review Agent use?

About 5.2k tokens (SKILL.md is roughly 21k 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 11k tokens, read only when the agent opens those files.

What are the alternatives to Literature Review Agent?

Skills that share tags, products or a category with Literature Review Agent: Literature Review (Norman-bury/research-writing-skill, 3.4k stars), Literature Search (lingzhi227/agent-research-skills, 390 stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Literature Review Agent?

Ar9av (a GitHub user) maintains it in Ar9av/PaperOrchestra, which has 679 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 21, 2026.

Source: Ar9av/PaperOrchestra on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.