Scientific Writing
neflibata-feng/MyArxiv-Agent
Core skill for the deep research and writing tool. An agent skill from neflibata-feng/MyArxiv-Agent.
Publication-quality checks and enhancements for high-impact journal submissions, including PRISMA/MOOSE reporting, robust meta-analysis diagnostics (Hartung-Knapp, prediction intervals, influence)…
$ npx skills add htlin222/meta-pipe --skill ma-publication-quality -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install htlin222/meta-pipe ma-publication-quality --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-publication-quality .claude/skills/ma-publication-quality && 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-publication-quality" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-publication-quality into .claude/skills/ma-publication-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-publication-quality", 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-publication-qualityType 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-publication-quality -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install htlin222/meta-pipe ma-publication-quality --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-publication-quality .agents/skills/ma-publication-quality && 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-publication-quality" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-publication-quality into .agents/skills/ma-publication-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-publication-quality", 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-publication-quality -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install htlin222/meta-pipe ma-publication-quality --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-publication-quality .cursor/skills/ma-publication-quality && 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-publication-quality" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-publication-quality into .cursor/skills/ma-publication-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-publication-quality", 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-publication-quality--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-publication-quality -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install htlin222/meta-pipe ma-publication-quality --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-publication-quality .gemini/skills/ma-publication-quality && 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-publication-quality" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-publication-quality into .gemini/skills/ma-publication-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-publication-quality", 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-publication-qualityInstalls 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-publication-quality -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-publication-quality .github/skills/ma-publication-quality && 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-publication-quality" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-publication-quality into .github/skills/ma-publication-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-publication-quality", 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-publication-quality -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-publication-quality --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-publication-quality .opencode/skills/ma-publication-quality && 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-publication-quality" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-publication-quality into .opencode/skills/ma-publication-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-publication-quality", 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.
ma-publication-qualityPublication-quality checks and enhancements for high-impact journal submissions, including PRISMA/MOOSE reporting, robust meta-analysis diagnostics (Hartung-Knapp, prediction intervals, influence)…
Ma Publication Quality is an agent skill from htlin222/meta-pipe. Publication-quality checks and enhancements for high-impact journal submissions, including PRISMA/MOOSE reporting, robust meta-analysis diagnostics (Hartung-Knapp, prediction intervals, influence), GRADE Summary of Findings, claim audits, and cross-reference validation. Use when preparing the final manuscript and QA package.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts, reference files and assets (for example `references/journal-formatting.md`, `references/moose-checklist-template.md` and `references/prisma-nma-checklist-template.md`).
It sits in Research & Science, covering Data visualization, ORMs and data access and Scientific writing. It works with Prisma. 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….
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5c5c3f0. 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 5 files in scripts/ (Python and R), which the agent can run.
From 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.
Ma Publication Quality loads about 1k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 268 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 268 words (~1,043 tokens).
“Add high-impact-journal quality controls: reporting checklists, robustness diagnostics, GRADE SoF outputs, and manuscript consistency audits.”
SKILL.md and 12 other files (scripts, references, assets) in ma-publication-quality of htlin222/meta-pipe.
Open the folder on GitHubat commit 5c5c3f0
Ma Publication Quality 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 Publication Quality this skillhtlin222/meta-pipe | 139 | — | ~1k | Automated safety check: Pass | Custom licence | |
| Scientific Writingneflibata-feng/MyArxiv-Agent | 126 | 18 repos | ~8.4k | Automated safety check: Notes | MIT | |
| Scientific Writingjimmc414/Kosmos | 595 | 1 repos | ~4.1k | Automated safety check: Pass | None | |
| Nature-Style Scientific FiguresYuan1z0825/nature-skills | 47k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Meta AnalysisAperivue/medsci-skills | 333 | — | ~8.7k | Automated safety check: Pass | MIT | |
| Review PaperAperivue/medsci-skills | 333 | — | ~1.3k | Automated safety check: Pass | MIT |
neflibata-feng/MyArxiv-Agent
Core skill for the deep research and writing tool. An agent skill from neflibata-feng/MyArxiv-Agent.
jimmc414/Kosmos
Write scientific manuscripts. An agent skill from jimmc414/Kosmos.
Yuan1z0825/nature-skills
Creates, revises, audits and exports manuscript-ready scientific figures in Python or R, and routes AI-generated graphical abstracts to a separate workflow.
Aperivue/medsci-skills
A skill your agent uses when running a systematic review and meta-analysis, DTA or intervention.
Aperivue/medsci-skills
A skill your agent uses when writing a literature review article (narrative, scoping PRISMA-ScR or systematic).
aipoch/medical-research-skills
Write and revise the Methods section of research papers to ensure reproducibility; use when preparing an IMRAD manuscript or responding to journal/reporting-guideline requirements (e.g…
htlin222/meta-pipe
Define extraction schema, extract study data from full texts, and store it in a structured database for meta-analysis.
htlin222/meta-pipe
End-to-end AI-assisted meta-analysis pipeline orchestration from TOPIC.txt to final manuscript and reviewer responses.
htlin222/meta-pipe
Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction.
htlin222/meta-pipe
Perform title and abstract screening, apply inclusion and exclusion criteria, and assess study quality or risk of bias.
htlin222/meta-pipe
Conduct literature searches for meta-analysis using Python with uv, query PubMed and other databases, deduplicate results, and store round-based bibliographies with notes.
htlin222/meta-pipe
Draft and render a meta-analysis manuscript with Quarto using an IMRaD structure and embedded figures/tables.
Works with
Publication-quality checks and enhancements for high-impact journal submissions, including PRISMA/MOOSE reporting, robust meta-analysis diagnostics (Hartung-Knapp, prediction intervals, influence)…. Ma Publication Quality is an agent skill from htlin222/meta-pipe. Publication-quality checks and enhancements for high-impact journal submissions, including PRISMA/MOOSE reporting, robust meta-analysis diagnostics (Hartung-Knapp, prediction intervals, influence), GRADE Summary of Findings, claim audits, and cross-reference validation.
Ma Publication Quality fits situations like: preparing the final manuscript and QA package; tasks that involve Data visualization; tasks that involve ORMs and data access.
Run `npx skills add htlin222/meta-pipe --skill ma-publication-quality -a claude-code`. Or copy the skill folder (ma-publication-quality in htlin222/meta-pipe) into .claude/skills/ma-publication-quality in your project. Claude Code loads it when a task matches its description.
Run `npx skills add htlin222/meta-pipe --skill ma-publication-quality -a codex`. Or copy the skill folder (ma-publication-quality in htlin222/meta-pipe) into .agents/skills/ma-publication-quality 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 htlin222/meta-pipe --skill ma-publication-quality -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-publication-quality, .gemini/skills/ma-publication-quality, .github/skills/ma-publication-quality and .opencode/skills/ma-publication-quality in your project.
Going by SKILL.md and its folder, Ma Publication Quality needs Python and R for the scripts in its folder. 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.
Ma Publication Quality has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1k tokens (SKILL.md is roughly 4.2k 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 2.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ma Publication Quality: Scientific Writing (neflibata-feng/MyArxiv-Agent, 126 stars), Scientific Writing (jimmc414/Kosmos, 595 stars), Nature-Style Scientific Figures (Yuan1z0825/nature-skills, 47k stars) and Meta Analysis (Aperivue/medsci-skills, 333 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.