Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Act as Reviewer 1 and Reviewer 2 for a meta-analysis manuscript, checking rigor, reproducibility, and reporting compliance.
Install Ma Peer Review
$ npx skills add htlin222/meta-pipe --skill ma-peer-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install htlin222/meta-pipe ma-peer-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/htlin222/meta-pipe.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ma-peer-review .claude/skills/ma-peer-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 "ma-peer-review" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-peer-review into .claude/skills/ma-peer-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-peer-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/htlin222/meta-pipe/tree/main/ma-peer-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 htlin222/meta-pipe --skill ma-peer-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install htlin222/meta-pipe ma-peer-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/htlin222/meta-pipe.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ma-peer-review .agents/skills/ma-peer-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 "ma-peer-review" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-peer-review into .agents/skills/ma-peer-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-peer-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 htlin222/meta-pipe --skill ma-peer-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install htlin222/meta-pipe ma-peer-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/htlin222/meta-pipe.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ma-peer-review .cursor/skills/ma-peer-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 "ma-peer-review" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-peer-review into .cursor/skills/ma-peer-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-peer-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/htlin222/meta-pipe.git --path ma-peer-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 htlin222/meta-pipe --skill ma-peer-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install htlin222/meta-pipe ma-peer-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/htlin222/meta-pipe.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ma-peer-review .gemini/skills/ma-peer-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 "ma-peer-review" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-peer-review into .gemini/skills/ma-peer-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-peer-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 htlin222/meta-pipe ma-peer-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 htlin222/meta-pipe --skill ma-peer-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/htlin222/meta-pipe.git skills-src && mkdir -p .github/skills && cp -r skills-src/ma-peer-review .github/skills/ma-peer-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 "ma-peer-review" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-peer-review into .github/skills/ma-peer-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-peer-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 htlin222/meta-pipe --skill ma-peer-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 htlin222/meta-pipe ma-peer-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/htlin222/meta-pipe.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ma-peer-review .opencode/skills/ma-peer-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 "ma-peer-review" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-peer-review into .opencode/skills/ma-peer-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-peer-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
ma-peer-review- GitHub stars
- 139
- Token cost
- ~1k tokens
- SKILL.md length
- 322 words
- Files
- 13 (incl. scripts, references)
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Act as Reviewer 1 and Reviewer 2 for a meta-analysis manuscript, checking rigor, reproducibility, and reporting compliance.
- Works in 7 steps: Reviewer 1 focuses on methodology,… → Reviewer 2 focuses on clarity, reporting… → Record issues with severity, location,… → …
- Validating the final paper before submission
- SKILL.md covers Overview, Inputs, Outputs and Workflow, plus 3 more sections
- Runs Python scripts from its folder; calls uv
What it does
Ma Peer Review is an agent skill from htlin222/meta-pipe. Act as Reviewer 1 and Reviewer 2 for a meta-analysis manuscript, checking rigor, reproducibility, and reporting compliance. Use when validating the final paper before submission.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `references/cinema-quick-reference.md`, `references/grade-assessment-guide.md` and `references/grade-summary-schema.md`).
It sits in Research & Science, covering Reproducible research and Peer review. The repository describes itself as: Claude Code-powered end-to-end meta-analysis automation: AI-assisted literature review, screening, extraction, analysis, and manuscript generation for systematic reviews and….
When your agent uses it
- Validating the final paper before submission
- Tasks that involve Reproducible research
- Tasks that involve Peer review
Example prompts
- “/ma-peer-review”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Reviewer 1 focuses on methodology, inclusion criteria, and statistical validity.
- Reviewer 2 focuses on clarity, reporting completeness, and reproducibility.
- Record issues with severity, location, and recommended fixes.
- Create a consolidated action list with owners and status.
- Initialize GRADE summary tables with scripts/init_grade_summary.py via uv run.
- Collect analysis statistics from Stage 06 outputs with scripts/collect_analysis_stats.py.
- Generate semi-automated GRADE suggestions with scripts/auto_grade_suggestion.py.
What it can do on your machine
Read from SKILL.md and the folder at commit 5c5c3f0. 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 5 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, 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
Ma Peer Review loads about 1k tokens when it runs, and up to ~9.2k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 322 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 322 words (~1,037 tokens).
“Perform structured peer review and produce actionable feedback and validation checks.”
- name
- ma-peer-review
Files
SKILL.md and 12 other files (scripts, references) in ma-peer-review of htlin222/meta-pipe.
- SKILL.md
- references/cinema-quick-reference.md
- references/grade-assessment-guide.md
- references/grade-summary-schema.md
- references/grade-template.md
- references/reporting-checks.md
- references/rob2-template.md
- references/robins-i-template.md
- scripts/auto_grade_suggestion.py
- scripts/collect_analysis_stats.py
- scripts/init_grade_summary.py
- scripts/init_rob2_assessment.py
- scripts/init_robins_i_assessment.py
Open the folder on GitHubat commit 5c5c3f0
Compare with similar skills
Ma Peer 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 |
|---|---|---|---|---|---|---|
| Ma Peer Review this skillhtlin222/meta-pipe | 139 | — | ~1k | Automated safety check: Pass | Custom licence | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| Icml Reviewersundial-org/skills | 153 | — | ~2.4k | Automated safety check: Pass | None | |
| Review Paperpedrohcgs/claude-code-my-workflow | 1.7k | — | ~7.3k | Automated safety check: Pass | MIT | |
| Scientific Workflow ToolsDrugClaw/DrugClaw | 126 | — | ~712 | Automated safety check: Pass | Apache-2.0 | |
| Paper Reviewbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~3k | Automated safety check: Pass | Custom licence |
Similar skills
Icml Reviewer
sundial-org/skills
Paper reviewer that evaluates machine learning research projects following official ICML reviewer guidelines.
Review Paper
pedrohcgs/claude-code-my-workflow
Comprehensive manuscript review with three modes: single-pass (default), --adversarial critic-fixer loop, and --peer [journal] simulated peer-review pipeline (editor + 2 dispositioned referees +…
Scientific Workflow Tools
DrugClaw/DrugClaw
Research-method workflow guide for hypothesis framing, peer-review style critique, reproducibility planning, study-design checks, and scientific-writing structure.
Paper Review
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a paper is complete or near-complete and a holistic pre-submission audit is needed.
Peer Review Methodology
jaechang-hits/SciAgent-Skills
Structured peer review of manuscripts and grants. An agent skill from jaechang-hits/SciAgent-Skills.
More from htlin222/meta-pipe
All 15 skills in this repoMa Data Extraction
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Define extraction schema, extract study data from full texts, and store it in a structured database for meta-analysis.
Ma End To End
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End-to-end AI-assisted meta-analysis pipeline orchestration from TOPIC.txt to final manuscript and reviewer responses.
Ma Fulltext Management
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Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction.
Ma Screening Quality
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Perform title and abstract screening, apply inclusion and exclusion criteria, and assess study quality or risk of bias.
Ma Search Bibliography
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Conduct literature searches for meta-analysis using Python with uv, query PubMed and other databases, deduplicate results, and store round-based bibliographies with notes.
Ma Manuscript Quarto
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Draft and render a meta-analysis manuscript with Quarto using an IMRaD structure and embedded figures/tables.
Related
Categories
Questions about Ma Peer Review
What does Ma Peer Review do?
Act as Reviewer 1 and Reviewer 2 for a meta-analysis manuscript, checking rigor, reproducibility, and reporting compliance. Ma Peer Review is an agent skill from htlin222/meta-pipe. Act as Reviewer 1 and Reviewer 2 for a meta-analysis manuscript, checking rigor, reproducibility, and reporting compliance.
When should I use Ma Peer Review?
Ma Peer Review fits situations like: validating the final paper before submission; tasks that involve Reproducible research; tasks that involve Peer review.
How do I install Ma Peer Review in Claude Code?
Run `npx skills add htlin222/meta-pipe --skill ma-peer-review -a claude-code`. Or copy the skill folder (ma-peer-review in htlin222/meta-pipe) into .claude/skills/ma-peer-review in your project. Claude Code loads it when a task matches its description.
How do I install Ma Peer Review in Codex?
Run `npx skills add htlin222/meta-pipe --skill ma-peer-review -a codex`. Or copy the skill folder (ma-peer-review in htlin222/meta-pipe) into .agents/skills/ma-peer-review in your project. Codex loads it when a task matches its description.
Can I use Ma Peer 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 htlin222/meta-pipe --skill ma-peer-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/ma-peer-review, .gemini/skills/ma-peer-review, .github/skills/ma-peer-review and .opencode/skills/ma-peer-review in your project.
What does Ma Peer Review need to run?
Going by SKILL.md and its folder, Ma Peer Review needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
Does Ma Peer Review access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Ma Peer 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 Ma Peer Review use?
Ma Peer Review 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 Ma Peer Review use?
About 1k tokens (SKILL.md is roughly 4.1k 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 8.2k tokens, read only when the agent opens those files.
What are the alternatives to Ma Peer Review?
Skills that share tags, products or a category with Ma Peer Review: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), Icml Reviewer (sundial-org/skills, 153 stars), Review Paper (pedrohcgs/claude-code-my-workflow, 1.7k stars) and Scientific Workflow Tools (DrugClaw/DrugClaw, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ma Peer Review?
htlin222 (a GitHub user) maintains it in htlin222/meta-pipe, which has 139 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 23, 2026.
Source: htlin222/meta-pipe on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.