Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App.
$ npx skills add Ar9av/PaperOrchestra --skill paper-autoraters -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Ar9av/PaperOrchestra paper-autoraters --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Ar9av/PaperOrchestra.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/paper-autoraters .claude/skills/paper-autoraters && rm -rf skills-srcUse ~/.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/
Install the "paper-autoraters" agent skill from https://github.com/Ar9av/PaperOrchestra/tree/main/skills/paper-autoraters into .claude/skills/paper-autoraters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-autoraters", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Ar9av/PaperOrchestra/tree/main/skills/paper-autoratersType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Ar9av/PaperOrchestra --skill paper-autoraters -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Ar9av/PaperOrchestra paper-autoraters --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ar9av/PaperOrchestra.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/paper-autoraters .agents/skills/paper-autoraters && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "paper-autoraters" agent skill from https://github.com/Ar9av/PaperOrchestra/tree/main/skills/paper-autoraters into .agents/skills/paper-autoraters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-autoraters", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Ar9av/PaperOrchestra --skill paper-autoraters -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Ar9av/PaperOrchestra paper-autoraters --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ar9av/PaperOrchestra.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/paper-autoraters .cursor/skills/paper-autoraters && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "paper-autoraters" agent skill from https://github.com/Ar9av/PaperOrchestra/tree/main/skills/paper-autoraters into .cursor/skills/paper-autoraters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-autoraters", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Ar9av/PaperOrchestra.git --path skills/paper-autoraters--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Ar9av/PaperOrchestra --skill paper-autoraters -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Ar9av/PaperOrchestra paper-autoraters --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ar9av/PaperOrchestra.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/paper-autoraters .gemini/skills/paper-autoraters && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "paper-autoraters" agent skill from https://github.com/Ar9av/PaperOrchestra/tree/main/skills/paper-autoraters into .gemini/skills/paper-autoraters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-autoraters", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Ar9av/PaperOrchestra paper-autoratersInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Ar9av/PaperOrchestra --skill paper-autoraters -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Ar9av/PaperOrchestra.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/paper-autoraters .github/skills/paper-autoraters && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "paper-autoraters" agent skill from https://github.com/Ar9av/PaperOrchestra/tree/main/skills/paper-autoraters into .github/skills/paper-autoraters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-autoraters", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Ar9av/PaperOrchestra --skill paper-autoraters -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Ar9av/PaperOrchestra paper-autoraters --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ar9av/PaperOrchestra.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/paper-autoraters .opencode/skills/paper-autoraters && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "paper-autoraters" agent skill from https://github.com/Ar9av/PaperOrchestra/tree/main/skills/paper-autoraters into .opencode/skills/paper-autoraters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-autoraters", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
paper-autoratersRun the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App.
Paper Autoraters is an agent skill from Ar9av/PaperOrchestra. Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS Overall Paper Quality (side-by-side), and SxS Literature Review Quality (side-by-side). TRIGGER when the user asks to "score this paper draft", "evaluate against the benchmark", "compare two papers", or "run the autoraters".
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/citation-f1-prompt.md`, `references/litreview-quality-prompt.md` and `references/sxs-litreview-prompt.md`).
It sits in Research & Science, covering Literature review, Academic paper search and Citation management. It works with arXiv and Semantic Scholar. 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…
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 36c3cc4. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Paper Autoraters loads about 1.6k tokens when it runs, and up to ~5.8k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 670 words of instructions outside code blocks.
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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 670 words (~1,637 tokens).
“Faithful implementation of the four LLM-as-judge autoraters used in PaperOrchestra (Song et al., 2026, arXiv:2604.05018, §5 and App. F.3).”
SKILL.md and 5 other files (scripts, references) in skills/paper-autoraters of Ar9av/PaperOrchestra.
Open the folder on GitHubat commit 36c3cc4
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.
Paper Autoraters 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Paper Autoraters this skillAr9av/PaperOrchestra | 679 | 1 repos | ~1.6k | Automated safety check: Pass | Custom licence | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Paper Research on arXivXiaomiMiMo/MiMo-Code | 14k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Deep Research Literature SurveyHKUSTDial/Supervisor-Skills | 8.8k | — | ~2.4k | Automated safety check: Pass | CC-BY-NC-SA-4.0 | |
| Literature ReviewK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Literature ReviewNorman-bury/research-writing-skill | 3.4k | — | ~2.2k | Automated safety check: Notes | MIT |
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
XiaomiMiMo/MiMo-Code
Searches arXiv, fetches metadata, generates BibTeX, downloads PDFs and finds citations and related papers using a bundled Python script.
HKUSTDial/Supervisor-Skills
Runs a survey-grade literature investigation: fixes the research questions, searches from adversarial angles, verifies citations and writes an evidence-first report.
K-Dense-AI/scientific-agent-skills
Runs systematic, scoping or narrative literature reviews across PubMed, arXiv, bioRxiv and Semantic Scholar, with citation checks and Markdown or PDF output.
Norman-bury/research-writing-skill
A skill your agent uses when writing literature review sections - guides searching, organizing, and synthesizing academic sources
AI4Scientist/nano-scientist
Find and read academic papers: disambiguate queries, discover papers (search, citation traversal, recommendations, arXiv monitoring, trending, GitHub search), evaluate (TLDR, citations, code, SOTA)…
Ar9av/PaperOrchestra
Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric…
Ar9av/PaperOrchestra
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
Ar9av/PaperOrchestra
Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
Ar9av/PaperOrchestra
Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines…
Ar9av/PaperOrchestra
Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
Ar9av/PaperOrchestra
Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
Works with
Categories
Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. Paper Autoraters is an agent skill from Ar9av/PaperOrchestra.05018, App.
Paper Autoraters fits situations like: the user asks to score this paper draft; evaluate against the benchmark; compare two papers; run the autoraters.
Run `npx skills add Ar9av/PaperOrchestra --skill paper-autoraters -a claude-code`. Or copy the skill folder (skills/paper-autoraters in Ar9av/PaperOrchestra) into .claude/skills/paper-autoraters in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Ar9av/PaperOrchestra --skill paper-autoraters -a codex`. Or copy the skill folder (skills/paper-autoraters in Ar9av/PaperOrchestra) into .agents/skills/paper-autoraters in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Ar9av/PaperOrchestra --skill paper-autoraters -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paper-autoraters, .gemini/skills/paper-autoraters, .github/skills/paper-autoraters and .opencode/skills/paper-autoraters in your project.
Going by SKILL.md and its folder, Paper Autoraters needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
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.
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.
Paper Autoraters has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.6k tokens (SKILL.md is roughly 6.5k 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 4.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Paper Autoraters: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars), Deep Research Literature Survey (HKUSTDial/Supervisor-Skills, 8.8k stars) and Literature Review (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.