Paper Interpretation
digoal/blog
从论文 PDF 文件或论文 PDF URL 生成通俗易懂、图文并茂、带批判性评估的中文 Markdown 解读,并保存到当前项目的 markdown 目录。Use when the user asks to interpret,精读,解读,summarize,explain,analyze, or write an article from an academic paper PDF…
Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction.
$ npx skills add htlin222/meta-pipe --skill ma-fulltext-management -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install htlin222/meta-pipe ma-fulltext-management --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-fulltext-management .claude/skills/ma-fulltext-management && 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-fulltext-management" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-fulltext-management into .claude/skills/ma-fulltext-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-fulltext-management", 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-fulltext-managementType 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-fulltext-management -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install htlin222/meta-pipe ma-fulltext-management --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-fulltext-management .agents/skills/ma-fulltext-management && 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-fulltext-management" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-fulltext-management into .agents/skills/ma-fulltext-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-fulltext-management", 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-fulltext-management -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install htlin222/meta-pipe ma-fulltext-management --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-fulltext-management .cursor/skills/ma-fulltext-management && 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-fulltext-management" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-fulltext-management into .cursor/skills/ma-fulltext-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-fulltext-management", 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-fulltext-management--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-fulltext-management -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install htlin222/meta-pipe ma-fulltext-management --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-fulltext-management .gemini/skills/ma-fulltext-management && 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-fulltext-management" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-fulltext-management into .gemini/skills/ma-fulltext-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-fulltext-management", 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-fulltext-managementInstalls 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-fulltext-management -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-fulltext-management .github/skills/ma-fulltext-management && 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-fulltext-management" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-fulltext-management into .github/skills/ma-fulltext-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-fulltext-management", 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-fulltext-management -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-fulltext-management --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-fulltext-management .opencode/skills/ma-fulltext-management && 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-fulltext-management" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-fulltext-management into .opencode/skills/ma-fulltext-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-fulltext-management", 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-fulltext-managementCollect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction.
Ma Fulltext Management is an agent skill from htlin222/meta-pipe. Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction. Use when moving from screening to data extraction.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts and reference files (for example `README.md`, `references/changelog-unpaywall.md` and `references/fulltext-quickstart-template.md`).
It sits in Documents & Office, covering PDF. 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….
2 steps, taken from the step headings 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), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
pubmed.ncbi.nlm.nih.govclinicaltrials.govFrom 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 Fulltext Management loads about 1.7k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 602 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 noted patterns worth knowing about, such as sudo or a known installer.
Unpaywall requires `UNPAYWALL_EMAIL` in `.env`.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 602 words (~1,680 tokens).
“Gather full texts, validate completeness, and prepare a clean manifest.”
SKILL.md and 11 other files (scripts, references) in ma-fulltext-management of htlin222/meta-pipe.
Open the folder on GitHubat commit 5c5c3f0
Ma Fulltext Management 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 Fulltext Management this skillhtlin222/meta-pipe | 139 | — | ~1.7k | Automated safety check: Notes | Custom licence | |
| Paper Interpretationdigoal/blog | 8.6k | — | ~1.5k | Automated safety check: Pass | GPL-2.0 | |
| Paper LensYSQ-boop/paper-lens | 101 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Paper ReviewRapidAI/MaClaw | 147 | — | ~1k | Automated safety check: Pass | MIT | |
| Paper Interpreterchujianyun/skills | 742 | — | ~810 | Automated safety check: Pass | Custom licence | |
| Mindmap Renderai4s-research/ai4s-skills | 237 | 1 repos | ~3.1k | Automated safety check: Pass | MIT |
digoal/blog
从论文 PDF 文件或论文 PDF URL 生成通俗易懂、图文并茂、带批判性评估的中文 Markdown 解读,并保存到当前项目的 markdown 目录。Use when the user asks to interpret,精读,解读,summarize,explain,analyze, or write an article from an academic paper PDF…
YSQ-boop/paper-lens
Read and critically analyze one academic paper from an arXiv URL/ID or a local PDF, producing a source-grounded Markdown report that can grow from a quick read into a reviewer-level deep review.
RapidAI/MaClaw
论文深度解读 Skill — 下载论文PDF → LLM深度解读(问题/创新点/方法原理/实验分析)→ PDF图片提取 → 生成组会PPT → 生成解读音频MP3。端到端学术论文解读工具。
chujianyun/skills
论文解读助手。适用于用户发送 arXiv 论文链接,并希望下载论文、解读论文、生成读书笔记、做论文拆解或输出详细报告时使用。会在工作目录创建论文文件夹、下载 PDF 与 TeX Source(如有)、生成中文 Markdown 报告。默认先交付初稿,不自动复查;如果用户明确同意,再安排后续复查。不适用于只要简短推荐语的情况。
ai4s-research/ai4s-skills
Generate beautiful, high-resolution mindmaps from Markdown unordered lists.
wanshuiyin/Anti-Autoresearch
Build the deterministic evidence ledger (artifactmanifest.json + claims.json) that every other Anti-Autoresearch auditor reads.
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
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.
htlin222/meta-pipe
Run statistical meta-analysis in R with renv, generate effect estimates, heterogeneity, and publication bias diagnostics, and export figures and tables.
Categories
Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction. Ma Fulltext Management is an agent skill from htlin222/meta-pipe. Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction.
Ma Fulltext Management fits situations like: moving from screening to data extraction; tasks that involve PDF.
Run `npx skills add htlin222/meta-pipe --skill ma-fulltext-management -a claude-code`. Or copy the skill folder (ma-fulltext-management in htlin222/meta-pipe) into .claude/skills/ma-fulltext-management in your project. Claude Code loads it when a task matches its description.
Run `npx skills add htlin222/meta-pipe --skill ma-fulltext-management -a codex`. Or copy the skill folder (ma-fulltext-management in htlin222/meta-pipe) into .agents/skills/ma-fulltext-management 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-fulltext-management -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-fulltext-management, .gemini/skills/ma-fulltext-management, .github/skills/ma-fulltext-management and .opencode/skills/ma-fulltext-management in your project.
Going by SKILL.md and its folder, Ma Fulltext Management needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
SKILL.md names 2 domains. In commands or code: pubmed.ncbi.nlm.nih.gov and clinicaltrials.gov; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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 Fulltext Management has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.7k tokens (SKILL.md is roughly 6.7k 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 10k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ma Fulltext Management: Paper Interpretation (digoal/blog, 8.6k stars), Paper Lens (YSQ-boop/paper-lens, 101 stars), Paper Review (RapidAI/MaClaw, 147 stars) and Paper Interpreter (chujianyun/skills, 742 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.