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.
Reviews an academic paper in the NeurIPS review format with three reviewer personas, reflection rounds and averaged scores, and outputs an actionable report.
Install Academic Paper Self-Review
$ npx skills add lingzhi227/agent-research-skills --skill self-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lingzhi227/agent-research-skills self-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/lingzhi227/agent-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/self-review .claude/skills/self-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 "self-review" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/self-review into .claude/skills/self-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-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/lingzhi227/agent-research-skills/tree/main/skills/self-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 lingzhi227/agent-research-skills --skill self-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lingzhi227/agent-research-skills self-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/self-review .agents/skills/self-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 "self-review" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/self-review into .agents/skills/self-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-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 lingzhi227/agent-research-skills --skill self-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lingzhi227/agent-research-skills self-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/self-review .cursor/skills/self-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 "self-review" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/self-review into .cursor/skills/self-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-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/lingzhi227/agent-research-skills.git --path skills/self-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 lingzhi227/agent-research-skills --skill self-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lingzhi227/agent-research-skills self-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/self-review .gemini/skills/self-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 "self-review" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/self-review into .gemini/skills/self-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-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 lingzhi227/agent-research-skills self-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 lingzhi227/agent-research-skills --skill self-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/self-review .github/skills/self-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 "self-review" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/self-review into .github/skills/self-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-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 lingzhi227/agent-research-skills --skill self-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 lingzhi227/agent-research-skills self-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/self-review .opencode/skills/self-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 "self-review" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/self-review into .opencode/skills/self-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-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
self-review- GitHub stars
- 390
- Token cost
- ~877 tokens
- SKILL.md length
- 258 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- None found
At a glance
Reviews an academic paper in the NeurIPS review format with three reviewer personas, reflection rounds and averaged scores, and outputs an actionable report.
- Works in 5 steps: Load Paper → Three-Persona Review → Reflection Refinement (up to 3 rounds… → …
- Getting a mock peer review of a paper before submission
- SKILL.md covers Input, Scripts, Workflow and References, plus 2 more sections
- Runs Python scripts from its folder; calls python and pip
What it does
The agent loads a paper from a PDF or a .tex file. PDF text comes from a script that tries pymupdf4llm, then pymupdf, then pypdf, and an optional parser recovers the title, section headings and section text. It then runs three independent reviews, from a harsh but fair reviewer, a harsh and critical reviewer and an open-minded one, each following the NeurIPS review JSON format in references/review-form.md.
Each review gets up to three reflection rounds that re-check accuracy and soundness. The results are combined by averaging scores with weights such as Overall 1.0, Contribution 0.4 and Presentation 0.2, plus a meta-review of the consensus, and the report gives an overall score out of 10 and an accept or reject decision. The agent must also verify that the abstract, introduction, methods, experiments and discussion are present, and lower the scores for any that are missing.
When your agent uses it
- Getting a mock peer review of a paper before submission
- Stress-testing a draft with critical and open-minded reviewer views
- Checking that a manuscript has all required sections
- Turning review feedback into a prioritized to-do list
Example prompts
- “Review paper.pdf with the NeurIPS form before I submit it.”
- “Run the three-reviewer pass on my LaTeX draft in ./paper/main.tex and give me an actionable report.”
- “Extract the sections from this PDF and tell me which required section is missing.”
- “Summarize the main weaknesses all three reviewer personas agreed on.”
Requirements
- Python with `pymupdf4llm`, `pymupdf` and `pypdf` for PDF extraction
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Load Paper
- Three-Persona Review
- Reflection Refinement (up to 3 rounds per reviewer)
- Aggregate
- Actionable Report
What it can do on your machine
Read from SKILL.md and the folder at commit 9e6c085. 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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Academic Paper Self-Review loads about 877 tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 258 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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 258 words (~877 tokens).
“Review an academic paper using a structured review form with multiple reviewer personas.”
- name
- self-review
- argument-hint
- pdf-or-tex-file
Files
SKILL.md and 3 other files (scripts, references) in skills/self-review of lingzhi227/agent-research-skills.
- SKILL.md
- references/review-form.md
- scripts/extract_pdf_text.py
- scripts/parse_pdf_sections.py
Open the folder on GitHubat commit 9e6c085
Compare with similar skills
Academic Paper Self-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 |
|---|---|---|---|---|---|---|
| Academic Paper Self-Review this skilllingzhi227/agent-research-skills | 390 | — | ~877 | Automated safety check: Pass | None | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Academic Paper ReviewerImbad0202/academic-research-skills | 51k | — | ~11k | Automated safety check: Pass | Custom licence | |
| Academic Research PipelineImbad0202/academic-research-skills | 51k | — | ~15k | Automated safety check: Pass | Custom licence | |
| Benchmark Paper TemplateHKUSTDial/Supervisor-Skills | 8.8k | — | ~2.8k | Automated safety check: Pass | CC-BY-4.0 | |
| Academic Research Suite for CodexImbad0202/academic-research-skills-codex | 12k | — | ~12k | Automated safety check: Pass | Custom licence |
Similar skills
Academic Paper Reviewer
Imbad0202/academic-research-skills
Simulates a journal peer review of a manuscript with a five-seat reviewer panel, an editorial synthesizer and several review modes.
Academic Research Pipeline
Imbad0202/academic-research-skills
Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.
Benchmark Paper Template
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Structures benchmark and evaluation papers around five pillars, with a completeness audit, an Introduction logic chain, a section skeleton and a pre-submission checklist.
Academic Research Suite for Codex
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A router skill that sends academic work such as literature reviews, drafting, citation checks, peer review and revision to the right workflow in the ARS suite.
Manuscript Statistics Audit
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Audits or rewrites the statistical reporting in a manuscript: experimental units, replication, tests, uncertainty and figure legends, without inventing missing details.
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Related
Works with
Categories
Questions about Academic Paper Self-Review
What does Academic Paper Self-Review do?
Reviews an academic paper in the NeurIPS review format with three reviewer personas, reflection rounds and averaged scores, and outputs an actionable report. tex file. PDF text comes from a script that tries pymupdf4llm, then pymupdf, then pypdf, and an optional parser recovers the title, section headings and section text.
When should I use Academic Paper Self-Review?
Academic Paper Self-Review fits situations like: getting a mock peer review of a paper before submission; stress-testing a draft with critical and open-minded reviewer views; checking that a manuscript has all required sections; turning review feedback into a prioritized to-do list.
How do I install Academic Paper Self-Review in Claude Code?
Run `npx skills add lingzhi227/agent-research-skills --skill self-review -a claude-code`. Or copy the skill folder (skills/self-review in lingzhi227/agent-research-skills) into .claude/skills/self-review in your project. Claude Code loads it when a task matches its description.
How do I install Academic Paper Self-Review in Codex?
Run `npx skills add lingzhi227/agent-research-skills --skill self-review -a codex`. Or copy the skill folder (skills/self-review in lingzhi227/agent-research-skills) into .agents/skills/self-review in your project. Codex loads it when a task matches its description.
Can I use Academic Paper Self-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 lingzhi227/agent-research-skills --skill self-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/self-review, .gemini/skills/self-review, .github/skills/self-review and .opencode/skills/self-review in your project.
What does Academic Paper Self-Review need to run?
Going by SKILL.md and its folder, Academic Paper Self-Review needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python with `pymupdf4llm`, `pymupdf` and `pypdf` for PDF extraction.
Does Academic Paper Self-Review access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Academic Paper Self-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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Academic Paper Self-Review use?
No licence was found for Academic Paper Self-Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Academic Paper Self-Review use?
About 877 tokens (SKILL.md is roughly 3.5k 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 969 tokens, read only when the agent opens those files.
What are the alternatives to Academic Paper Self-Review?
Skills that share tags, products or a category with Academic Paper Self-Review: Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Academic Paper Reviewer (Imbad0202/academic-research-skills, 51k stars), Academic Research Pipeline (Imbad0202/academic-research-skills, 51k stars) and Benchmark Paper Template (HKUSTDial/Supervisor-Skills, 8.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Academic Paper Self-Review?
lingzhi227 (a GitHub user) maintains it in lingzhi227/agent-research-skills, which has 390 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on February 27, 2026.
Source: lingzhi227/agent-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.