Academic Paper Writing Pipeline
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline.
Install 01 Paper Review
$ npx skills add agentscope-ai/OpenJudge --skill 01-paper-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentscope-ai/OpenJudge 01-paper-review --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/agentscope-ai/OpenJudge.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/academic-eval/01-paper-review .claude/skills/01-paper-review && 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 "01-paper-review" agent skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/academic-eval/01-paper-review into .claude/skills/01-paper-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "01-paper-review", 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/agentscope-ai/OpenJudge/tree/main/skills/academic-eval/01-paper-reviewType 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 agentscope-ai/OpenJudge --skill 01-paper-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentscope-ai/OpenJudge 01-paper-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/OpenJudge.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/academic-eval/01-paper-review .agents/skills/01-paper-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "01-paper-review" agent skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/academic-eval/01-paper-review into .agents/skills/01-paper-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "01-paper-review", 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 agentscope-ai/OpenJudge --skill 01-paper-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentscope-ai/OpenJudge 01-paper-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/OpenJudge.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/academic-eval/01-paper-review .cursor/skills/01-paper-review && 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 "01-paper-review" agent skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/academic-eval/01-paper-review into .cursor/skills/01-paper-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "01-paper-review", 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/agentscope-ai/OpenJudge.git --path skills/academic-eval/01-paper-review--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 agentscope-ai/OpenJudge --skill 01-paper-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentscope-ai/OpenJudge 01-paper-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/OpenJudge.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/academic-eval/01-paper-review .gemini/skills/01-paper-review && 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 "01-paper-review" agent skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/academic-eval/01-paper-review into .gemini/skills/01-paper-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "01-paper-review", 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 agentscope-ai/OpenJudge 01-paper-reviewInstalls 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 agentscope-ai/OpenJudge --skill 01-paper-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentscope-ai/OpenJudge.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/academic-eval/01-paper-review .github/skills/01-paper-review && 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 "01-paper-review" agent skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/academic-eval/01-paper-review into .github/skills/01-paper-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "01-paper-review", 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 agentscope-ai/OpenJudge --skill 01-paper-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentscope-ai/OpenJudge 01-paper-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/OpenJudge.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/academic-eval/01-paper-review .opencode/skills/01-paper-review && 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 "01-paper-review" agent skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/academic-eval/01-paper-review into .opencode/skills/01-paper-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "01-paper-review", 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.
Facts
- Skill name
01-paper-review- GitHub stars
- 871
- Token cost
- ~2.4k tokens
- SKILL.md length
- 929 words
- Files
- 2
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline.
- Works in 5 steps: Safety check — jailbreak detection +… → Correctness — objective errors (math,… → Review — quality, novelty, significance… → …
- The user asks to review
- SKILL.md covers Prerequisites, Gather from user before running, Quick start and All options, plus 4 more sections
- Calls python, pip and curl; needs OPENAI_API_KEY and ANTHROPIC_API_KEY
What it does
01 Paper Review is an agent skill from agentscope-ai/OpenJudge. Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmentalscience, mathematics, socialsciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `reference.md`).
It sits in Research & Science, covering Peer review, Citation management and LaTeX. It works with LaTeX and OpenAI. The repository describes itself as: OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards. The licence is Apache-2.0.
When your agent uses it
- The user asks to review
- Assess a research paper
- Check references
- Verify a BibTeX file
Example prompts
- “/01-paper-review”
Requirements
- Python 3
- A credential in OPENAI_API_KEY
- A credential in ANTHROPIC_API_KEY
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Safety check — jailbreak detection + format validation
- Correctness — objective errors (math, logic, data inconsistencies)
- Review — quality, novelty, significance (score 1–6)
- Criticality — severity of correctness issues
- BibTeX verification — cross-checks references against CrossRef/arXiv/DBLP
What it can do on your machine
Read from SKILL.md and the folder at commit d1e0642. 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:
pythonpipcurl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.litellm.aiplatform.openai.comdocs.anthropic.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEYANTHROPIC_API_KEYDASHSCOPE_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
01 Paper Review loads about 2.4k tokens when it runs. Until then it costs about 111 tokens; SKILL.md has 929 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.
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
The full file from agentscope-ai/OpenJudge at commit d1e0642, republished under its Apache-2.0 licence (© agentscope-ai). 929 words, ~2,376 tokens.
Download SKILL.mdSave it as
.claude/skills/01-paper-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- 01-paper-review
- description
- Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file.
Paper Review Skill
Multi-stage academic paper review using the OpenJudge PaperReviewPipeline:
- Safety check — jailbreak detection + format validation
- Correctness — objective errors (math, logic, data inconsistencies)
- Review — quality, novelty, significance (score 1–6)
- Criticality — severity of correctness issues
- BibTeX verification — cross-checks references against CrossRef/arXiv/DBLP
Prerequisites
# Install OpenJudge
pip install py-openjudge
# Extra dependency for paper_review
pip install litellm
pip install pypdfium2 # only if using vision mode (use_vision_for_pdf=True)Gather from user before running
| Info | Required? | Notes |
|---|---|---|
| Paper file path | Yes | PDF or .tar.gz/.zip TeX package |
| API key | Yes | Env var preferred: OPENAI_API_KEY, ANTHROPIC_API_KEY, etc. |
| Model name | No | gpt-5.2, anthropic/claude-opus-4-6, dashscope/qwen-vl-plus. See Model selection below |
| Discipline | No | If not given, uses general CS/ML-oriented prompts |
| Venue | No | e.g. "NeurIPS 2025", "The Lancet" |
| Instructions | No | Free-form reviewer guidance, e.g. "Focus on experimental design" |
| Language | No | "en" (default) or "zh" for Simplified Chinese output |
| BibTeX file | No | Required only for reference verification |
| CrossRef email | No | Improves API rate limits for BibTeX verification |
Quick start
File type is auto-detected: .pdf → PDF review, .tar.gz/.zip → TeX review, .bib → BibTeX verification.
# Basic PDF review
python -m cookbooks.paper_review paper.pdf
# With discipline and venue
python -m cookbooks.paper_review paper.pdf \
--discipline cs --venue "NeurIPS 2025"
# Chinese output
python -m cookbooks.paper_review paper.pdf --language zh
# Custom reviewer instructions
python -m cookbooks.paper_review paper.pdf \
--instructions "Focus on experimental design and reproducibility"
# PDF + BibTeX verification
python -m cookbooks.paper_review paper.pdf \
--bib references.bib --email your@email.com
# Vision mode (for models that prefer images over text extraction)
python -m cookbooks.paper_review paper.pdf \
--vision --vision_max_pages 30 --format_vision_max_pages 10
# TeX source package
python -m cookbooks.paper_review paper_source.tar.gz \
--discipline biology --email your@email.com
# TeX source package with Chinese output and custom instructions
python -m cookbooks.paper_review paper_source.tar.gz \
--language zh --instructions "This is a short paper, be concise"
# Verify a standalone BibTeX file
python -m cookbooks.paper_review --bib_only references.bib --email your@email.comAll options
| Flag | Default | Description |
|---|---|---|
input (positional) | — | Path to PDF, TeX package, or .bib file |
--bib_only | — | Path to .bib file for standalone verification (no review) |
--model | gpt-4o | Model name |
--api_key | env var | API key |
--base_url | — | Custom API endpoint — must end at /v1, not /v1/chat/completions (litellm appends the path automatically) |
--discipline | — | Academic discipline |
--venue | — | Target conference/journal |
--instructions | — | Free-form reviewer guidance |
--language | en | Output language: en or zh |
--bib | — | Path to .bib file (for PDF review + reference verification) |
--email | — | CrossRef mailto for BibTeX check |
--paper_name | filename stem | Paper title in report |
--output | auto | Output .md report path |
--no_safety | off | Skip safety checks |
--no_correctness | off | Skip correctness check |
--no_criticality | off | Skip criticality verification |
--no_bib | off | Skip BibTeX verification |
--vision | on | Use vision mode (requires pypdfium2); enabled by default |
--vision_max_pages | 30 | Max pages in vision mode (0 = all) |
--format_vision_max_pages | 10 | Max pages for format check (0 = use --vision_max_pages) |
--timeout | 7500 | API timeout in seconds |
Interpreting results
Review score (1–6):
- 1–2: Reject (major flaws or well-known results)
- 3: Borderline reject
- 4: Borderline accept
- 5–6: Accept / Strong accept
Correctness score (1–3):
- 1: No objective errors
- 2: Minor errors (notation, arithmetic in non-critical parts)
- 3: Major errors (wrong proofs, core algorithm flaws)
BibTeX verification:
verified: found in CrossRef/arXiv/DBLPsuspect: title/author mismatch or not found — manual check recommended
Model selection
This pipeline uses litellm for model calls. Provider prefixes are handled automatically by the pipeline — see the table below.
IMPORTANT: The model MUST support multimodal (vision) input. PDF review uses vision mode
(--vision) to render pages as images, which requires a vision-capable model. Text-only models
will fail or produce empty reviews.
The --model value uses a provider/model-name convention so the pipeline knows
which API endpoint to call. The table below shows the exact string to pass:
| Provider | --model value | Env var | Notes |
|---|---|---|---|
| OpenAI | gpt-5.2, gpt-5-mini, … | OPENAI_API_KEY | No prefix needed; gpt-5.2 is the current flagship vision model; check OpenAI models for the latest |
| Anthropic | anthropic/claude-opus-4-6, anthropic/claude-sonnet-4-6, … | ANTHROPIC_API_KEY | Use anthropic/ prefix; claude-opus-4-6 is the current flagship; check Anthropic models for the latest |
| DashScope (Qwen) | dashscope/qwen-vl-plus, dashscope/qwen-vl-max, … | DASHSCOPE_API_KEY | Use dashscope/ prefix; the pipeline auto-routes to DashScope’s OpenAI-compatible endpoint |
| Custom endpoint | bare model name | --api_key + --base_url | Use the model name your endpoint expects; no prefix needed when --base_url is set |
Note on prefixes: The
dashscope/andanthropic/prefixes are interpreted by the pipeline itself — do not add them to the actual API key or base URL. For OpenAI models the bare model name (e.g.gpt-5.2) is sufficient.
If the user does not specify a model, choose one based on available API keys:
DASHSCOPE_API_KEYset → usedashscope/qwen-vl-plus(vision-capable)OPENAI_API_KEYset → search web for the latest vision-capable OpenAI model and use it (currentlygpt-5.2)ANTHROPIC_API_KEYset → search web for the latest vision-capable Anthropic model and use it withanthropic/prefix (currentlyanthropic/claude-opus-4-6)
Vision mode is enabled by default for PDF review. Pages are rendered as images, which
preserves formatting, figures, and tables. To disable, pass --no_vision (not recommended).
The model must support multimodal (vision) input.
Show full SKILL.md (283 more words)Show less
Additional resources
- Full
PipelineConfigoptions: reference.md - Discipline details and venues: reference.md
Troubleshooting API errors
CRITICAL: When the pipeline fails with an API error, you MUST diagnose and fix the root cause. Do NOT fall back to reading the PDF as plain text yourself and calling the API manually — this bypasses the entire review pipeline and produces incorrect, incomplete results.
Diagnose by reading the full error message, then follow the checklist below:
AuthenticationError / 401
- The API key is wrong or not set.
- Check the correct env var for the provider (see Model selection table).
- For DashScope:
echo $DASHSCOPE_API_KEY— must be non-empty. - Fix: export the correct key and re-run.
NotFoundError / 404 — model not found
- The model name string is wrong.
- Search the web for the provider's current model list and use the exact API ID.
- Common mistakes: using a ChatGPT UI name instead of the API ID, outdated snapshot suffix.
- Fix: correct
--modeland re-run.
BadRequestError / 400
- Often caused by
--base_urlending with/v1/chat/completionsinstead of/v1. litellm appends the path automatically — strip everything after/v1. - May also indicate the model does not support vision/image input.
Use a vision-capable model (see Model selection) or omit
--vision. - Fix: correct
--base_urlor switch to a vision-capable model and re-run.
Connection error / endpoint not reachable
--base_urlpoints to the wrong host or port.- Test the endpoint first:
curl <base_url>/models -H "Authorization: Bearer <key>" - Fix: correct
--base_urlto the reachable endpoint and re-run.
Timeout
- The model is taking too long (common for long PDFs with vision mode).
- Fix: increase
--timeout(default 7500 s) or reduce--vision_max_pages.
After fixing, always re-run the full pipeline command.
Never summarise or interpret the paper yourself as a substitute for a failed pipeline run.
© agentscope-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/academic-eval/01-paper-review of agentscope-ai/OpenJudge.
- SKILL.md
- reference.md
Open the folder on GitHubat commit d1e0642
Compare with similar skills
01 Paper 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| 01 Paper Review this skillagentscope-ai/OpenJudge | 871 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Paper Reading ZhMrGeDiao/paper-reading-zh | 103 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Research Writing SkillzLanqing/codex-claude-academic-skills | 4.7k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Check Review AlignmentInternScience/DrClaw | 172 | — | ~1.5k | Automated safety check: Pass | None | |
| Paper CovertGRIND-Lab-Core/night_owl_research_agent | 106 | — | ~2.1k | Automated safety check: Notes | None |
Similar skills
Paper Reading Zh
MrGeDiao/paper-reading-zh
中文论文深读、总结/TL;DR、工程拆解、按论文实现/复现、比较与证据审计。用户给出论文 PDF、链接、标题、摘要、正文或图表，或明确要读论文时使用。只有论文锚点且无附言时澄清阅读目标；只有阅读意图时问哪篇。已有论文时，“看看这篇”直接深读。不用于仅翻译、解释单个术语、生成 BibTeX、找或下载论文。
Research Writing Skill
zLanqing/codex-claude-academic-skills
Chinese-first research paper writing, revision, polishing, section drafting, rebuttal, peer-review response, thesis prose improvement, and manuscript argument planning.
Check Review Alignment
InternScience/DrClaw
当用户明确要求"核查/优化综述 {主题}review.tex 的正文引用"或"运行 check-review-alignment"时使用。通过宿主 AI 的语义理解逐条核查引用是否与文献内容吻合，只在发现致命性引用错误时对"包含引用的句子"做最小化改写，并复用 systematic-literature-review 的渲染脚本输出…
Paper Covert
GRIND-Lab-Core/night_owl_research_agent
Converts the final Markdown manuscript from paper-draft / paper-review-loop into a submission package for the target venue — modular LaTeX (one file per section), compiled PDF, and Word .docx.
Paper Audit
bahayonghang/academic-writing-skills
Reviewer-style audit and submission gate for academic papers in .tex, .typ, or .pdf.
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Questions about 01 Paper Review
What does 01 Paper Review do?
Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. 01 Paper Review is an agent skill from agentscope-ai/OpenJudge. Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline.
When should I use 01 Paper Review?
01 Paper Review fits situations like: the user asks to review; assess a research paper; check references; verify a BibTeX file.
How do I install 01 Paper Review in Claude Code?
Run `npx skills add agentscope-ai/OpenJudge --skill 01-paper-review -a claude-code`. Or copy the skill folder (skills/academic-eval/01-paper-review in agentscope-ai/OpenJudge) into .claude/skills/01-paper-review in your project. Claude Code loads it when a task matches its description.
How do I install 01 Paper Review in Codex?
Run `npx skills add agentscope-ai/OpenJudge --skill 01-paper-review -a codex`. Or copy the skill folder (skills/academic-eval/01-paper-review in agentscope-ai/OpenJudge) into .agents/skills/01-paper-review in your project. Codex loads it when a task matches its description.
Can I use 01 Paper 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 agentscope-ai/OpenJudge --skill 01-paper-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/01-paper-review, .gemini/skills/01-paper-review, .github/skills/01-paper-review and .opencode/skills/01-paper-review in your project.
What does 01 Paper Review need to run?
Going by SKILL.md and its folder, 01 Paper Review needs the command-line tools its instructions call (python, pip and curl) and credentials named OPENAI_API_KEY, ANTHROPIC_API_KEY and DASHSCOPE_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY; A credential in ANTHROPIC_API_KEY.
Does 01 Paper Review access the network?
SKILL.md names 3 domains. As links in the text: docs.litellm.ai, platform.openai.com and docs.anthropic.com. This is read from the text; nothing was executed.
Is 01 Paper 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 01 Paper Review use?
01 Paper Review is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does 01 Paper Review use?
About 2.4k tokens (SKILL.md is roughly 9.5k 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 01 Paper Review?
Skills that share tags, products or a category with 01 Paper Review: Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Paper Reading Zh (MrGeDiao/paper-reading-zh, 103 stars), Research Writing Skill (zLanqing/codex-claude-academic-skills, 4.7k stars) and Check Review Alignment (InternScience/DrClaw, 172 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains 01 Paper Review?
agentscope-ai (a GitHub organization) maintains it in agentscope-ai/OpenJudge, which has 871 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on September 11, 2026.
Source: agentscope-ai/OpenJudge on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.